Affective Computing & Dialog Systems 2014


Affective Computing

Notes:

  • Affective dialog system

See also:

100 Best Emotion Recognition VideosBest Sensitive Artificial Listener VideosEmotional Agents 2013 | Emotional Agents 2014RobopsychologySAL (Sensitive Artificial Listener) 2014


Designing an emotion detection system for a socially intelligent human-robot interaction C Chastagnol, C Clavel, M Courgeon… – Natural Interaction with …, 2014 – Springer … J. Mariani et al. (eds.), Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice, DOI 10.1007/978-1-4614-8280-2 18, © Springer Science+Business Media New York 2014 199 Page 2. 200 C. Chastagnol et al. 18.1 Introduction … Cited by 6 Related articles All 6 versions

End-user design of emotion-adaptive dialogue strategies for therapeutic purposes M Gnjatovi?, V Deli? – Recent Advances of Neural Network Models and …, 2014 – Springer … Keywords: Adaptive dialogue strategies, affective computing, end-user design, medical treatment of children. 1 Introduction Two fundamental nontechnical research questions related to the development of emotion-aware dialogue systems are how to identify different kinds of … Cited by 4 Related articles All 3 versions

Emotions and motivation in learning and performance CM Kim, R Pekrun – … of research on educational communications and …, 2014 – Springer … In J. van Kuppevelt, L. Dybkjaer, & N. Bernsen (Eds.), Natural, intelligent and effective interaction with multimodal dialogue systems. New York, NY: Kluwer Academic. Blaney, PH (1986). … El Kaliouby, R., Picard, RW, Baron-Cohen, S. (2006). Affective computing and autism. … Cited by 13 Related articles All 3 versions

SimSensei Kiosk: A virtual human interviewer for healthcare decision support D DeVault, R Artstein, G Benn, T Dey, E Fast… – Proceedings of the …, 2014 – dl.acm.org … prototype. Categories and Subject Descriptors I.2.1 [Artificial Intelligence]: Applications and Expert Systems—Natural language interfaces Keywords virtual humans; dialogue systems; nonverbal behavior 1. INTRODUCTION … Cited by 8 Related articles All 9 versions

Using unlabeled data to improve classification of emotional states in human computer interaction M Schels, M Kächele, M Glodek, D Hrabal… – Journal on Multimodal …, 2014 – Springer … The annotation of corpora in the affective computing domain is particularly expensive, since the true emotional state of a subject is not entirely … Another example for a real world interaction with a dialog system is the “last minute” corpus [39], where the subject collects items via a … Cited by 8 Related articles All 2 versions

From informative cooperative dialogues to long-term social relation with a robot A Buendia, L Devillers – Natural Interaction with Robots, Knowbots and …, 2014 – Springer … 13.1 Introduction Dialogue cooperativity is crucial to task-oriented spoken human-machine dialogue [4]. Spoken language dialogue systems have always relied on cooperative users, so it is mandatory that the system’s dialogue must be cooperative as well. … Cited by 4 Related articles All 3 versions

The Distress Analysis Interview Corpus of human and computer interviews J Gratch, R Artstein, G Lucas, G Stratou… – Proceedings of …, 2014 – lrec-conf.org … when talking to a live interviewer – precisely the opposite of pre- vious results on people talking to task-oriented dialogue systems, where they … In Proceedings of International Conference on Affective Computing and Intelligent Interaction (ACII), Geneva, Switzerland, September. … Cited by 5 Related articles All 2 versions

Interacting with collective emotions in e-Communities M Skowron, S Rank – Collective Emotions, 2014 – books.google.com … Effect of affective profile on communication patterns and affective expressions in interactions with a dialog system. In S. D’Mello, A. Graesser, B. Schuller, & J.-C. Martin (Eds.), Affective Computing and Intelligent Interaction Lecture Notes in Computer Science (Vol. 6974, pp. … Cited by 3 Related articles All 2 versions

FEEL: A system for frequent event and electrodermal activity labeling Y Ayzenberg, RW Picard – Biomedical and Health Informatics, …, 2014 – ieeexplore.ieee.org Page 1. Copyright (c) 2013 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 3 Related articles All 4 versions

Social support agents for older adults: longitudinal affective computing in the home L Ring, L Shi, K Totzke, T Bickmore – Journal on Multimodal User …, 2014 – Springer … 3.3 Mood: longitudinal affective computing … used instead of a speech based one due to the difficulties most automatic speech recognition systems have with under- standing older adults [40], and our positive experience in using touch screen-based dialogue systems with older … Cited by 1 Related articles

Applying a Text-Based Affective Dialogue System in Psychological Research: Case Studies on the Effects of System Behaviour, Interaction Context and Social … M Skowron, S Rank, A ?widerska, D Küster… – Cognitive …, 2014 – Springer … The fields of affective computing, social signal processing and human–computer interaction (HCI), incorporate a wide range of methods for … In particular, we consider autonomous text-based dialogue systems that combine the modelling of selected aspects of affective and social … Cited by 1 Related articles All 5 versions

Inferring depression and affect from application dependent meta knowledge M Kächele, M Schels, F Schwenker – Proceedings of the 4th International …, 2014 – dl.acm.org … A computer assistant with an integrated dialog system is added to the conversation to assist the main user in this process. … 2.4 Conclusions With this said and acknowledging the scientific progress in the affective computing community, we still argue that the emotional status of a … Cited by 4 Related articles All 2 versions

Designing players’ emotional reaction models: A generic method towards adaptive affective gaming PA Nogueira, R Aguiar, R Rodrigues… – … (CISTI), 2014 9th …, 2014 – ieeexplore.ieee.org … 2004. “Emotion Recognition Using Bio-Sensors: First Steps towards an Automatic System” Affective Dialogue Systems, pp. 36-48. … 2011. “Generic Physiological Features as Predictors of Player Experience” Affective Computing and Intelligent Interaction, pp. 267-276. … Cited by 2 Related articles

WASABI for affect simulation in human-computer interaction C Becker-Asano – … on Emotion Representations and Modelling for …, 2014 – becker-asano.de … In: Affective Dialogue Systems. LNAI 3068, Springer (2004) 154–165 25. … Becker, C., Prendinger, H., Ishizuka, M., Wachsmuth, I.: Evaluating Affective Feed- back of the 3D Agent Max in a Competitive Cards Game. In: Affective Computing and Intelligent Interaction. … Cited by 2 Related articles

The dynamics of emotional chats with bots: experiment and agent-based simulations B Tadic, V Gligorijevic, M Skowron… – arXiv preprint arXiv: …, 2014 – arxiv.org … networks. The experiment that we consider was done with three emotional Bots, ie, Affective Dialog Systems [27] and a limited number of separated users in their natural environments. … 2.1 Experiment with Affective Dialog System The … Cited by 2 Related articles All 3 versions

Emotion and its triggers in human spoken dialogue: Recognition and analysis N Lubis, S Sakti, G Neubig, T Toda, A Purwarianti… – Proc IWSDS, 2014 – isw3.naist.jp … Schroeder et al. (2012) Building Autonomous Sensitive Artificial Listeners. IEEE Transac- tions of Affective Computing Vol.3, 2:165–183 13. … Multimodal Interaction:449-456 Proceedings of 5th International Workshop on Spoken Dialog Systems Napa, January 17-20, 2014 229 Cited by 1 Related articles All 3 versions

Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform M Murugappan, K Wan, S Yaacob – Expert Systems, 2014 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Cited by 2 Related articles All 4 versions

Exploiting Psychological Factors for Interaction Style Recognition in Spoken Conversation WL Wei, CH Wu, JC Lin, H Li – Audio, Speech, and Language …, 2014 – ieeexplore.ieee.org … I. INTRODUCTION N today’s world, the human-computer interface plays a key role in daily life. Numerous researchers are committed to creating a dialogue system that can improve the ability of the computer to understand human intentions and thus respond appropriately. … Cited by 2 Related articles All 2 versions

Steps towards more natural humanmachine interaction via audio-visual word prominence detection M Heckmann – submitted to 2nd Workshop on Multimodal Analyses …, 2014 – arcor.de … on Spoken Lang. Proc. (ICSLP) (2004) 27. Litman, D., Hirschberg, J., Swerts, M.: Characterizing and predicting corrections in spoken dialogue systems. Computational linguistics 32(3), 417–438 (2006) 28. … Affective Computing, IEEE Transactions on 3(2), 165–183 (2012) 36. … Cited by 2 Related articles

Adapting to Personality Over Time: Examining the Effectiveness of Dialogue Policy Progressions in Task-Oriented Interaction AK Vail, KE Boyer – Proceedings of the 15th Annual SIGDIAL …, 2014 – anthology.aclweb.org … 1989. Plan recognition and its use in under- standing dialog. In User Models in Dialog Systems, pages 133–162. … Investigating human tutor responses to student uncertainty for adaptive system development. In Affective Computing and Intelli- gent Interaction, pages 678–689. … Cited by 5 Related articles All 7 versions

Minotaurus: A System for Affective Human–Robot Interaction in Smart Environments J Röning, J Holappa, V Kellokumpu, A Tikanmäki… – Cognitive …, 2014 – Springer … [24]. Dif- ferent approaches to the role of affective computing in HCI are discussed by Höök [25]. For Minotaurus, we adopted a state-of-the-art method for posed expression recognition based on analyzing facial dynamics with spatiotemporal LBP descriptors [26]. … Cited by 1 Related articles

Emotion Recognition and Depression Diagnosis by Acoustic and Visual Features: A Multimodal Approach M Sidorov, W Minker – Proceedings of the 4th International Workshop on …, 2014 – dl.acm.org … Such opportunity can be useful in various applications, eg, improvement of Spoken Dialogue Systems (SDSs) or mon- itoring agents in call-centers. … For instance, Affective Computing [13] is one of the subject which deals with human affects. … Cited by 1 Related articles

Recognizing signals of social attitude in interacting with Ambient Conversational Systems B De Carolis, N Novielli – Journal on Multimodal User Interfaces, 2014 – Springer … signals for providing feedback, showing empathy and emotions in their behavior [2,3]. Multimodal interaction paradigms that combine several modalities are a powerful approach to promote natural and effortless experi- ence [4]. Moreover, multimodal dialog systems allow AmI … Cited by 1 Related articles All 2 versions

From talking and listening robots to intelligent communicative machines RK Moore – Robots That Talk and Listen. Boston, MA: De Gruyter – dcs.shef.ac.uk … book on ‘Affective Computing’ (Picard 1997), and there has since been considerable interest in the consequences for speech and spoken language interaction (eg André et al. … user and a spoken language dialog system is giving way to a more fluid interaction based on partial … Cited by 1 Related articles

Relevance units machine based dimensional and continuous speech emotion prediction F Wang, H Sahli, J Gao, D Jiang, W Verhelst – Multimedia Tools and …, 2014 – Springer … 1 Introduction Motivated by the research on affective computing, for different applications, together with facial expression analysis, speech emotion recognition has gained increasing attention dur- ing the last decade. Speech … Cited by 2 Related articles

Detecting and making use of emotions to enhance student motivation in e-learning environments P Rodriguez, A Ortigosa, RM Carro – International Journal of …, 2014 – Inderscience … Ahmad, K. (Ed.) ‘Affective computing and sentiment analysis emotion’, Metaphor and Terminology, Text, Speech and Language Technology Series, Springer … Z., Griol, D. and López-Cózar, R. (2011) ‘Predicting user mental states in spoken dialogue systems’, EURASIP Journal on … Cited by 2 Related articles

Acceptance of socially assistive humanoid robot by preschool and elementary school teachers M Fridin, M Belokopytov – Computers in Human Behavior, 2014 – Elsevier … The unified theory of acceptance and the use of technology (UTAUT), Dialog, facial expression of emotions, Positive bias in users perception, enhance user acceptance for the home dialog system, Mediator between user and home technology, Eldery, 82. Heerink et al. … Cited by 4 Related articles All 3 versions

Controlling social stress in virtual reality environments D Hartanto, IL Kampmann, N Morina… – PloS one, 2014 – dx.plos.org … This algorithm notified the dialogue system to select another question if the question has already been asked in the previous conditions. To ensure impartiality and to avoid observer bias, the experiment was conducted in a double-blind mode. … Cited by 3 Related articles All 16 versions

An audio-visual dataset of human–human interactions in stressful situations I Lefter, GJ Burghouts, LJM Rothkrantz – Journal on Multimodal User …, 2014 – Springer … The situation is similar when people need to interact with a dialog system or any type of smart interface, and the interaction is too complex or ambigu- ous. … Interactions with a WoZ dialog system are pre- sented in the SmartKom dataset [38]. … Cited by 1 Related articles All 4 versions

When to elicit feedback in dialogue: Towards a model based on the information needs of speakers H Buschmeier, S Kopp – Intelligent Virtual Agents, 2014 – Springer … 77–89 (2011) 16. Misu, T., Mizukami, E., Shiga, Y., Kawamoto, S., Kawai, H., Nakamura, S.: Toward construc- tion of spoken dialogue system that evokes users’ spontaneous backchannels. … IEEE Transactions on Affective Computing 3, 165–183 (2012) 21. … Cited by 1 Related articles All 4 versions

The Appliance of Affective Computing in Man-Machine Dialogue: Assisting Therapy of Having Autism L Han, X Li – … Systems and Network Technologies (CSNT), 2014 …, 2014 – ieeexplore.ieee.org … emotional effect. Although this study has many shortcomings, I believe that the “affective computing of man-machine dialogue system – assist the treatment for autistic persons is pregnant with the feasibility and a certain value. … Related articles All 2 versions

Processing and fusioning multiple heterogeneous information sources in multimodal dialog systems D Griol, JM Molina… – … Fusion (FUSION), 2014 …, 2014 – ieeexplore.ieee.org … [23] F. Burkhardt, M. van Ballegooy, K. Engelbrecht, T. Polzehl, and J. Stegmann, “Emotion detection in dialog systems – Usecases, strategies and challenges,” in Proc. of International Conference on Affective Computing and Intelligent Interaction (ACII’09), 2009, pp. 1–6. Related articles

A Survey on Mobile Affective Computing S Zhang, P Hui – arXiv preprint arXiv:1410.1648, 2014 – arxiv.org Page 1. 1 A Survey on Mobile Affective Computing Shengkai Zhang1 and Pan Hui1 1Department of Computer Science, Hong Kong University of Science and Technology Abstract—This survey presents recent progress on Affective Computing (AC) using mobile devices. … All 2 versions

A spoken dialogue system with situation and emotion detection based on anthropomorphic learning for warming healthcare d BH Su, PW Fu, PC Lin, PY Shih, YC Lin… – … (ICOT), 2014 IEEE …, 2014 – ieeexplore.ieee.org … 294-299, August 22-24, 2007. [4] M. Schroder, “Building autonomous sensitive artificial listeners,” IEEE Transactions on Affective Computing, Vol. 3, no. 2, pp. … 1, no. 3, pp. 139-149, September 2007. [6] J.-W. Wu, “Friendly elderly care spoken dialogue system based on Improved … Related articles

Current and New Research Perspectives on Dynamic Facial Emotion Detection in Emotional Interface TK Tews, M Oehl, H Faasch, T Kanno – Human-Computer Interaction. …, 2014 – Springer … In: Simon & Schuster, New York (1984) 14. Skowron, M., Theunis, M., Rank, S., Kappas, A.: Affect and Social Processes in Online Communication—Experiments with an Affective Dialog System. IEEE Transactions on Affective Computing 4(3), 267–279 (2013) 15. … Related articles

Applying affective feedback to reinforcement learning in ZOEI, a comic humanoid robot ID Addo, SI Ahamed – … , 2014 RO-MAN: The 23rd IEEE …, 2014 – ieeexplore.ieee.org … feedback can be used to drive reinforcement learning in human-robot interactions (HRI) and other dialogue systems. … Index Terms – HRI, Affective Content, Affective Computing, Humanoids, Affect Generation, Ubiquitous Computing, Collective Intelligence, Internet of Things … Related articles

Modeling User’s State During Dialog Turn Using HMM For Multi-modal Spoken Dialog System Y Chiba, M Ito, A Ito – … 2014, The Seventh International Conference on …, 2014 – thinkmind.org … DISCRIMINATION METHOD USING MULTI-STREAM HMM The spoken dialog system has to detect whether the user needs help or not as soon as possible, because the ultimate purpose of our work is to build a system that responds to a user who has … Affective Computing, vol. … Related articles

Ten Challenges in Highly-Interactive Dialog Systems NG Ward, D DeVault – 2014 – cs.utep.edu … Computer Speech and Language 27:89–115. Raux, A., and Eskenazi, M. 2012. Optimizing the turn- taking behavior of task-oriented spoken dialog systems. … Building autonomous sensitive artificial listeners. IEEE Trans. Affective Computing 3:165–183. … Related articles All 2 versions

The EEE corpus: socio-affective” glue” cues in elderly-robot interactions in a Smart Home with the EmOz platform V Aubergé, Y Sasa, N Bonnefond… – … & LINKED OPEN …, 2014 – hal.univ-grenoble-alpes.fr … This will carry on a minimal dialog system for elderly in smart home that will be completed and augmented in active learning by telecare.by professional of care. … IEEE Transactions on Affective Computing 3(3), pp. 349-365. Fonagy, P., & Target, M. (1997). … Related articles All 9 versions

An adaptable and extensible mobile sensing framework for patient monitoring G Novak, D Carlson, S Jarzabek – Intelligent Sensors, Sensor …, 2014 – ieeexplore.ieee.org … “Real-Time Feedback System for Monitoring and Facilitating Discussions.” International Workshop Series on Spoken Dialogue Systems Technology, 2012. … affect in the field: towards methods and metrics for improving ground truth labels.” Affective Computing and Intelligent … Related articles All 2 versions

History of Conversational System Development T Nishida, A Nakazawa, Y Ohmoto… – Conversational …, 2014 – Springer … of mind. Among others, affective computing has become a visible line of research, since affective computing was proposed by Picard (1997). After a … major landmarks. 3.2 Early Natural Language Dialogue Systems The earliest … Related articles All 3 versions

Providing emotion awareness and affective feedback to virtualised collaborative learning scenarios M Feidakis, S Caballé, T Daradoumis… – International Journal of …, 2014 – Inderscience … Keywords: emotion; mood; affect; emotion awareness; self-reporting; affective feedback; emotion measurement; detection; affective computing; virtualised collaborative learning; virtualised collaborative session; VCS; emotcontrol. … Related articles All 2 versions

User Modeling by Using Bag-of-Behaviors for Building a Dialog System Sensitive to the Interlocutor’s Internal State Y Chiba, T Nose, A Ito, M Ito – … of the Special Interest Group on …, 2014 – anthology.aclweb.org … Grace Chung. 2004. Developing a flexible spoken dialog system using simulation. In Proc. … 2012. Context-sensitive learning for enhanced audiovisual emotion classification. IEEE Trans. Affective Computing, 3 (2): 184–198. … Related articles All 6 versions

Exploring the Difference of the Impression on Human and Agent Listeners in Active Listening Dialog HH Huang, N Konishi, S Shibusawa… – Intelligent Virtual Agents, 2014 – Springer … SAL is a multimodal dialogue system with the social interaction skills needed for a sustained conversation with the user. … In: 3rd International Conference on Affective Computing and Intelligent Interaction (ACII 2009), pp. 1–6 (2009) Related articles All 2 versions

Using Improved BQPSO to Recognize Emotion Based on ECG? J CHENG, G LIU – Journal of Computational Information Systems, 2014 – jofcis.com … Emotion recognition using bio-sensors: first step towards an automatic system. Affective Dialogue Systems, 2004, 3068 : 36 48. … Detecting naturalistic expressions of nonbasic affect using physiological signals. IEEE transactions on affective computing, 2012, 3 (3): 298-310. … Related articles

The dynamics of emotional chats with Bots: Experiment and agent-based simulations B Tadi?a, V Gligorijevi?a, M Skowronc, M Šuvakova – researchgate.net … environment of social networks. The experiment that we consider was done with three emotional Bots, ie, Affective Dialog Systems [26,27] and a limited number of separated users in their natural environments. In the remaining … Related articles All 3 versions

Automatic Recognition of Personality Traits: A Multimodal Approach M Sidorov, S Ultes, A Schmitt – Proceedings of the 2014 Workshop on …, 2014 – dl.acm.org … Adding personality-dependency may be useful to build speaker-adaptive models, eg, to improve Spoken Dialogue Systems (SDSs) or to monitor agents in call-centers. … For instance, Affective Computing [11] is one of the fields which deal with human affects. … Related articles

Interaction-Based Affect Detection in Educational Software RSJD Baker, J Ocumpaugh – … Handbook of Affective Computing, 2014 – books.google.com … Much of this research can be seen as fitting within the information processing approach to affective computing (see in, Calvo, Peters … This detector was developed from data drawn from student interactions, which were facilitated by the ITSPOKE audio dialogue system (Litman & … Related articles

Towards healthcare personal agents G Riccardi – Proceedings of the 2014 Workshop on Roadmapping …, 2014 – sisl.disi.unitn.it … Affective Computing and Intelligent Interaction Humaine Association Conference. … ELREC, Reykiavik. [18] Williams, JD and Young,S. 2007, Partially Observable Markov Decision Processes for Spoken Dialog Systems, Computer Speech and Language, 21 (2), 393-422. … Related articles All 2 versions

Emotional Intelligence and Agents: Survey and Possible Applications M Ivanovi?, M Radovanovi?, Z Budimac… – Proceedings of the 4th …, 2014 – dl.acm.org … Emotion detection in dialog systems: Applications, strategies and challenges. In Proceedings of the 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, pages 1–6, 2009. [8] ZJ Chuang and C.-H. Wu. … Related articles All 6 versions

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions S Ramnani, RP Gorthi – Proceedings of the 2014 workshop on Emotion …, 2014 – dl.acm.org … Vol. 124. 2011. [7] E. Andre et al. “Endowing spoken language dialogue systems with emotional intelligence.” Affective Dialogue Systems. Springer Berlin Heidelberg, 2004. 178-187. … [24]Picard, Rosalind W., “Affective Computing”, MIT Press, 2000. 30 Related articles

Interlocutor personality perception based on BFI profiles and coupled HMMs in a dyadic conversation MH Su, YT Zheng, CH Wu – Chinese Spoken Language …, 2014 – ieeexplore.ieee.org … of speech for perception of the psychological meaning such as emotion and personality trait is beneficial to provide harmonious communication between humans and computers [3] [4] [5]. In order to endow the spoken dialogue systems with flexible and … Affective Computing, vol. … Related articles

Sensory Fiction: A Design Fiction of Emotional Computation F Heibeck, A Hope, J Legault – … of the 2nd ACM International Workshop …, 2014 – dl.acm.org … 2004. Emotion recognition using bio-sensors: first steps towards an automatic system. Tutorial and Research Workshop on Affective Dialogue Systems. Kloster Irsee, Germany, Springer. 12. J. Healey. … 2010. A Blueprint for Affective Computing: A sourcebook and manual. … Related articles

Using an Ethnographic Approach to Collect Emotional Data in Affective Learning Research X Tao, Q Niu, M Jackson – ijiee.org … 1997. [2] J. Tao and T. Tan, “Affective computing: A revie,” Affective Computing an d Intelligent Interaction, pp. 981-995, 2005. … of the AIED Workshop on Tutorial Dialogue Systems: With a View Towards the Classroom, Australia, 2003, pp. … Related articles All 2 versions

Towards a differential diagnostic of PTSD using cognitive computing methods N Howard, L Jehel, R Arnal – Cognitive Informatics & Cognitive …, 2014 – ieeexplore.ieee.org … Papangelis et al. (2013) introduce an adaptive dialogue system for assessment of patients with PTSD. … Like Kenny et al. and Papangelis et al., the authors of this paper present a virtual dialogue system that extracts features from patients’ speech and use the information … Related articles

Affect and Wellbeing: Introduction to Special Section RA Calvo, G Riva, C Lisetti – Affective Computing, IEEE …, 2014 – ieeexplore.ieee.org … IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 5, NO. … 2013. [5] U. Yasavur, C. Lisetti, and N. Rishe “Intelligent virtual agents and spoken dialog systems come together to deliver behavior change health interventions,” J. Multimodal User Interfaces, vol. 8, pp. … Related articles All 4 versions

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech I Siegert, D Philippou-Hübner, K Hartmann, R Böck… – Cognitive …, 2014 – Springer … Robust acoustic and semantic modeling in a telephone-based spoken dialog system. Ph.D. thesis, Otto von Guericke University Magdeburg; 2009. Morris JD. … In: 3rd Internatinal conference on affective computing and intelligent interaction and workshops (ACII); 2009. … Related articles

User-oriented requirements engineering A Sutcliffe – … Engineering (UsARE), 2014 IEEE 2nd International …, 2014 – ieeexplore.ieee.org … Processes, Practices Methods and Techniques. New York: ACM Press, 2000, pp. 66-71. [15] RW Picard, Affective Computing. Cambridge MA: MIT Press, 1997. [16] T. Bickmore and J. Cassell, “Social dialogue with embodied Related articles All 2 versions

On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction M Kächele, M Schels, S Meudt, V Kessler… – … enabling Artificial Agents …, 2014 – Springer … The generation of datasets including accurate knowledge about the respective affective states and how they appear is the key to data driven affective computing. … Different user states are elicited using malfunctions in the dialog system and unexpected events in the recording. …

Adaptive cognitive technical systems F Putze, T Schultz – Journal of neuroscience methods, 2014 – Elsevier … Experimental results indicated that subjective and objective criteria, such as driving quality, improved when the dialog system adapted its voice … Picard (2000) defined the fundamentals of affective computing, ie the attempt to provide computer with the ability to recognize and … Related articles All 3 versions

Identification of the Driver’s Interest Point using a Head Pose Trajectory for Situated Dialog Systems YH Kim, T Misu – Proceedings of the 16th International Conference on …, 2014 – dl.acm.org … In Proc. Affective Computing and Intelligent Interaction, 2009. [5] A. Doshi and M. Trivedi. … 2014. [13] T. Misu, A. Raux, I. Lane, J. Devassy, and R. Gupta. Situated Multi-modal Dialog System in Vehicles. In Proceedings of International Conference on Multimodal Interaction, 2013. … Related articles

Recognition and Analysis of Emotion in Indonesian Conversational Speech N Lubis, S Sakti, G Neubig, T Toda, D Lestari… – phontron.com … states from nonverbal fea- tures of speech and its application for public speaking skill analysis,” Affective Computing, IEEE Transactions … in human spoken dialogue: Recognition and analysis,” in Proceedings of International Workshop on Spo- ken Dialogue Systems, 2014, pp. … Related articles

Educational Scaffolding for Students Stuck in a Virtual World R Villarica, D Richards – 2014 – aut.researchgateway.ac.nz … “Early Prediction of Student Frustration,” in Affective Computing and Intelligent Interaction, AR Paiva, R. Prada and R. Picard (eds.). Springer Berlin Heidelberg, pp. … “Empathic Embodied Interfaces: Addressing Users’ Affective State,” in Affective Dialogue Systems, E. André, L … Related articles All 3 versions

Emotion Recognition in Real-world Conditions with Acoustic and Visual Features M Sidorov, W Minker – Proceedings of the 16th International Conference …, 2014 – dl.acm.org … Such opportunity can be useful in various applications, eg, im- provement of Spoken Dialogue Systems (SDSs) or monitor- ing agents in call-centers. … For instance, Affective Computing [15] is one of the subject which deals with human affects. … Related articles

Approach to Recognize Human Emotions HS Suresha, NS Chandrasekhar – 2014 – searchdl.org … 54, pp. 768, 1988. [6] R. Picard, “Affective computing. 1997,” . … 42, pp. 419-427, 2004. [25] A. Haag, S. Goronzy, P. Schaich and J. Williams, “Emotion recognition using bio-sensors: First steps towards an automatic system,” Affective Dialogue Systems, pp. 36-48, 2004. … Related articles

A Shared, Modular Architecture for Developing Virtual Humans A Hartholt, D Traum, S Marsella, LP Morency… – ict.usc.edu … implementational and empirical approaches to the problem, studying human-human natural language and multi-modal dialogue, as well as building a number of dialogue systems to communicate … Page 5. tions on Affective Computing and Journal of Intercul- tural Communication … Related articles

Heart Rate Monitoring as an Easy Way to Increase Engagement in Human-Agent Interaction J Frey – arXiv preprint arXiv:1412.1772, 2014 – arxiv.org … Möller, S., Smeele, P., Boland, H., and Krebber, J. (2007). Evaluating spoken dialogue systems according to de- facto standards: A case study. Computer Speech & Language, 21(1):26–53. Picard, RW (1995). Affective computing. Technical Re- port 321, MIT Media Laboratory. … Related articles All 38 versions

Social Presence and Artificial Opponents A Pereira, R Prada, A Paiva – Entertaining the Whole World, 2014 – Springer … quite limited in understanding the human counterpart in this re- spect, both in terms of speech recognition and dialogue systems. … topic in multiple disciplines such as philosophy, psychology, neuroscience, machine learning and, most recently, in affective computing (Picard 2000 … Related articles All 3 versions

Methodologies for Conversational System Development T Nishida, A Nakazawa, Y Ohmoto… – Conversational …, 2014 – Springer … Such a system may allow one to take a data-intensive approach in building dialogue systems. … Affective computing must be incorporated if we are to realize life-like agents whose behaviors may be induced by more biology-inspired principles. … Related articles All 3 versions

Virtual assistive companions for older adults: qualitative field study and design implications C Tsiourti, E Joly, C Wings, MB Moussa… – Proceedings of the 8th …, 2014 – dl.acm.org … a variety of ECAs aiming to address the emotional needs, provide companionship and assist older adults in health related domains (ie, physical exercise, medication adherence) have been developed in the human-computer interaction and Affective Computing communities. … Related articles All 2 versions

Empa talk: a physiological data incorporated human-computer interactions M Lee, K Kim, H Rho, SJ Kim – CHI’14 Extended Abstracts on Human …, 2014 – dl.acm.org … 1897 Page 2. enables more effective communication possible amongst people. In this regard, researchers and engineers have studied affective computing systems that could recognize user’s emotion and respond to it appropriately. … In Affective dialogue systems (pp. 36-48). … Related articles

Cognitive Multimodal Processing: from Signal to Behavior A Potamianos – Proceedings of the 2014 Workshop on Roadmapping …, 2014 – telecom.tuc.gr … Affective computing, social and behavioral signal processing address the first prerequisite for successful communication; namely the ultimate aim of … and 2) learning by imitation/example in a rein- forcement learning paradigm (eg, spoken dialogue systems, robot manipulation … Related articles All 3 versions

Why and How to Build Emotion-Based Agent Architectures C Lisetti, E Hudlicka – … Oxford Handbook of Affective Computing, 2014 – books.google.com … tendencies. Perhaps the most well-known categorical theory of emotions to the affective computing community is Ekman’s (1999), and we will show later how it has been used as a basis for modeling emotion in agent architectures. … Related articles

Applying PAD three dimensional emotion model to convert prosody of emotional speech X Lu, H Yang, A Zhou – Orange Technologies (ICOT), 2014 …, 2014 – ieeexplore.ieee.org … Modeling the Expressivity of Input Text Semantics for Chinese Text-to-Speech Synthesis in a Spoken Dialog System”,IEEE Transaction … Haotian Zhou, “The Reliability and Validity of the Chinese Version of Abbreviated PAD Emotion Scales”, Affective Computing and Intelligent … Related articles

Towards Multimodal Adaptive User Interfaces Z Eichler – is.muni.cz … In brief, our goal is to enhance Boulevard by utilization of affective computing and eye track- ing, since considering users’s … Another interesting multimodal adaptive user interface is SmartKom project [51], which is multimodal dialogue system that combines speech, gesture, and … Related articles

Predicting semantic changes in abstraction in tutor responses to students M Lipschultz, D Litman, S Katz, P Albacete… – International Journal of …, 2014 – Inderscience … of educational technology through the use of spoken and natural language processing, affective computing, and machine learning and other statistical methods. Her current projects include AI-enhanced peer review, spoken tutorial dialogue systems, and automated essay … Related articles All 4 versions

Combining body pose, gaze, and gesture to determine intention to interact in vision-based interfaces J Schwarz, CC Marais, T Leyvand, SE Hudson… – Proceedings of the …, 2014 – dl.acm.org … One of the most sophisticated examples is the work of Bohus and Horvitz on predicting intention to interact [4] in open-world dialogue systems [5]. They describe an in-situ model looking at face position and orientation, as well as trajectory. … Related articles All 3 versions

Automatic music “listening” for automatic music performance: a grandpiano dynamics classifier D Di Carlo, A Roda – samp.dei.unipd.it … on Affective Computing, (pre- print) 3. Rod`a, A., Canazza, S.: “Virtual performance, Actual gesture: A Web 2.0 system for … A.: “Emotion Classification of Audio Signals Using En- semble of Support Vector Machines”, Perception in Multimodal Dialogue Systems, Springer Berlin … Related articles

Tools And Techniques Concerning Modeling Of Learner, Influencing Algorithmic Factors And Approches (Knowledge Level, … S RAZAGHI – prj.co.in … AAAI Fall Symposium: Building Dialogue Systems for Tutorial Applications, North Falmouth, MA., AAAI Press. Elliott, J. Rickel, & J. Lester.(1999). Lifelike Pedagogical Agents and Affective Computing: An Exploratory Synthesis. … Related articles All 2 versions

Assistive Robot Enabled Service Architecture to Support Home-Based Dementia Care R Khosla, K Nguyen, MT Chu – Service-Oriented Computing …, 2014 – ieeexplore.ieee.org … execution in conjunction with Matilda), laptop (eg speech recognition) remote communication between human communication tools (eg, on PC or touch panel) and artificial intelligence programs (eg, emotionally intelligent persuasive diet suggestion dialog system) located and … Related articles

Multivariate evaluation of interactive robot systems CM Huang, B Mutlu – Autonomous Robots, 2014 – Springer … Prior research has followed an evaluation paradigm called PARADISE (PARA- digm for DIalogue System Evaluation)—a regression-based approach to evaluating the performance of dialog systems 123 Page 4. Auton Robot (Walker et al. 1997). … Related articles All 3 versions

Annotating the TCD D-ANS Corpus-a multimodal multimedia monolingual biometric corpus of spoken social interaction N Campbell, S Hennig – speech-data.jp … based on an analysis of the content but instead suggests methods and goals for annotating the material so that future researchers can use it to design more sensitive interfaces for speech synthesis in spoken dialogue systems. … IEEE Transactions on Affective Computing, 1 (1), pp … Related articles All 2 versions

Measuring Student Engagement, Knowledge, and Perceptions of Climate Change in an Introductory Environmental Geology Course KS McNeal, JM Spry, R Mitra, JL Tipton – Journal of Geoscience …, 2014 – nagt-jge.org … As such, skin sensors can form an important part of a larger set of affective computing gears that seeks to monitor biophysical responses such as heart rate, muscle activity, skin … In André, E., Dybkjær, L., Minker, W., and Heisterkamp, P., eds., Affective dialogue systems. … Related articles All 3 versions

Mitigating problems in video-mediated group discussions: Towards conversation aware video-conferencing systems M Schmitt, S Gunkel, P Cesar… – Proceedings of the 2014 …, 2014 – vmc-tb.net … This is heavily researched in human-computer dialogue systems [4]. In the collocated setting, turn-prediction models movement, gaze [8], intonation and keywords A prediction of next speakers would also allow for a pre-preparation … Affective Computing and Intelligent Interaction … Related articles All 4 versions

Emotions and Mood States: Modeling, Elicitation, and Classification G Valenza, EP Scilingo – Autonomic Nervous System Dynamics for Mood …, 2014 – Springer … Williams, Emotion recognition using bio-sensors: first steps towards an automatic system, in Affective Dialogue Systems (2004), pp. … Woo, Physiological sensing and feature extraction for emotion recognition by exploiting acupuncture spots, in Affective Computing and Intelligent … Cited by 1 Related articles

Developing multimodal conversational agents for an enhanced e-learning experience D Griol, JM Molina, AS de Miguel – ADCAIJ: Advances in Distributed …, 2014 – rca.usal.es … 2001] have evaluated the effect of task-related conversational behaviour in tutorial dialog scenarios; whereas the work in the area of affective computing and its application to … A mobile robot platform that includes a spoken dialog system is presented in [GOROSTIZA, JF., et al. … Related articles All 4 versions

Intelligent Systems’ Holistic Evolving Analysis of Real-Life Universal Speaker Characteristics B Schuller, Y Zhang, F Eyben, F Weninger – mmk.e-technik.tu-muenchen.de … As a matter of fact, the re- lated paradigm of ‘affective computing’, that focusses on emotional aspects of natural human-machine … spite them being crucial for real-life applications such as retrieval, dialogue systems and computer-mediated human- to-human conversation. … Related articles All 2 versions

Expressing Emotion Through Posture M Lhommet, SC Marsella – … Handbook of Affective Computing, 2014 – books.google.com Page 292. 19 and Gesture Margaux Lhommet and Stacy C. Marsella Expressing Emotion Through Posture Abstract This chapter addresses the bodily expression of emotion, specifically, how people communicate emotion through … Related articles

Computational Models of Players’ Physiological-Based Emotional Reactions: A Digital Games Case Study PA Nogueira, R Aguiar, R Rodrigues… – Web Intelligence (WI) …, 2014 – ieeexplore.ieee.org … 2004. “Emotion Recognition Using Bio-Sensors: First Steps towards an Automatic System.” Affective Dialogue Systems. [11] Hudlicka, Eva. 2009. … 2011. “Generic Physiological Features as Predictors of Player Experience” Affective Computing and Intelligent Interaction. … Cited by 1 Related articles All 3 versions

A Robotic or Virtual Companion for Isolated Older Adults C Sidner, C Rich, M Shayganfar, M Behrooz… – workshops.acin.tuwien.ac.at … this spec- trum, our solution is an extension, called DiscoRT (Disco for Real-Time) [7], to the collaborative dialogue system Disco [9 … on Affective Computing and Intelligent Interaction, Geneva, Switzerland (2013) [11] Sidner, CL, Lee, C., Kidd, C., Lesh, N., Rich, C.: Explorations in … Related articles All 3 versions

Touching Virtual Agents: Embodiment and Mind G Huisman, M Bruijnes, J Kolkmeier, M Jung… – Innovative and Creative …, 2014 – Springer … A wide variety of agent embodiments exist ranging from very abstract (eg text-only dialog systems) to photo-realistic avatars with speech recognition, text-to-speech and real-time turn-taking [54]. The human communicative repertoire uses all the affordances of the human body. … Related articles All 8 versions

Spoken Language Processing: Time to Look Outside? RK Moore – Statistical Language and Speech Processing, 2014 – Springer … In: Scherer, KR, Bänziger, T., Roesch, E. (eds.) A Blueprint for Affective Computing-A Sourcebook and Manual, pp. 21–46. … Worgan, S., Moore, RK: Enabling reinforcement learning for open dialogue systems through speech stress detection. … Cited by 2 Related articles All 2 versions

Conversations with a virtual human: Synthetic emotions and human responses C Qu, WP Brinkman, Y Ling, P Wiggers… – Computers in Human …, 2014 – Elsevier To test whether synthetic emotions expressed by a virtual human elicit positive or negative emotions in a human conversation partner and affect satisfaction tow. Cited by 2 Related articles All 10 versions

Emotion Pattern Recognition Using Physiological Signals X Niu, L Chen, H Xie, Q Chen, H Li – 2014 – sensorsportal.com … Recording and recognizing physiological signatures of emotion has become an increasingly important field of research in affective computing and human-computer interface [1]. Although many efforts have been taken recently to recognize emotions using facial expressions … Related articles

Social Robots and Virtual Humans as Assistive Tools for Improving Our Quality of Life N Magnenat-Thalmann, Z Zhang – Digital Home (ICDH), 2014 …, 2014 – ieeexplore.ieee.org … Towards an affect sensitive and context aware game companion,” in 3rd International Conference on Affective Computing and Intelligent … workshop on Language- Enabled Educational Technology and Development and Evaluation for Robust Spoken Dialogue Systems at the … Related articles

Quality of Experience Versus User Experience I Wechsung, K De Moor – Quality of Experience, 2014 – Springer … 37 dialogue systems. Also the studies by Frøkjær et al. … Analogous to this development, HCI research also moved away from the classical cognitive infor- mation processing paradigm [22] towards concepts like Affective Computing [23] and Emotional Design [24]. … Related articles All 4 versions

Monte-Carlo Planning for Socially Aligned Agents using Bayesian Affect Control Theory N Asghar, J Hoey – 2014 – cs.uwaterloo.ca … POMDPs have been used as models for many human-interactive domains, including intelligent tutoring systems [12], spoken dialogue systems [39], and assistive tech- nologies [17]. 2 Page 3. X ? R X X ? X A f ?x ?x F X ? ?f X ? ? R A Ba F (a) (b) … Cited by 1 Related articles

Selection Of The Most Relevant Physiological Features For Classifying Emotion C Godin, F Prost-Boucle, A Campagne, S Charbonnier… – Emotion – researchgate.net … André, E., Rehm, M., Minker, W., Bühler, D., 2004. Endowing spoken language dialogue systems with emotional intelligence, in: IN PROCEEDINGS AFFECTIVE DIALOGUE SYSTEMS 2004. Springer, pp. 178–187. … Eight-emotion Sentics Data, MIT Affective Computing Group. …

Objective model assessment for short-term anxiety recognition from blood volume pulse signal W Handouzi, C Maaoui, A Pruski… – … Signal Processing and …, 2014 – Elsevier … section. 4. Methodology. One key research problem in the Affective Computing area is the mapping between affective states and physiological states. A well-established methodology for an emotion recognition system is primordial. … Related articles

Stress and emotion recognition using acoustic speech analysis M Lech, L He – Mental Health Informatics, 2014 – Springer Page 1. Chapter 9 Stress and Emotion Recognition Using Acoustic Speech Analysis Margaret Lech and Ling He 9.1 Stress and Emotion Both stress and emotion represent psycho-physiological states involving charac- teristic somatic and autonomic responses [38]. … Cited by 2 Related articles All 4 versions

What to Evaluate? A Taxonomy of Quality Aspects of Multimodal Interfaces I Wechsung – An Evaluation Framework for Multimodal Interaction, 2014 – Springer … Möller (2006) could not find a correlation between task duration and user judgments when evaluating speech dialogue systems. … away from the “classical” cognitive information processing paradigm (Kaptelinin et al., 2003) towards concepts like Affective Computing (Picard, 1997 …

Hybrid video emotional tagging using users’ EEG and video content S Wang, Y Zhu, G Wu, Q Ji – Multimedia tools and applications, 2014 – Springer Page 1. Multimed Tools Appl DOI 10.1007/s11042-013-1450-8 Hybrid video emotional tagging using users’ EEG and video content Shangfei Wang•Yachen Zhu•Guobing Wu•Qiang Ji © Springer Science+Business Media New York 2013 … Cited by 4 Related articles All 7 versions

The SRI AVEC-2014 Evaluation System V Mitra, E Shriberg, M McLaren, A Kathol… – Proceedings of the 4th …, 2014 – sri.com Page 1. The SRI AVEC-2014 Evaluation System Vikramjit Mitra SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 vikramjit.mitra@sri.com Andreas Kathol SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 andreas.kathol@sri.com … Cited by 1 Related articles All 2 versions

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors F Zhou, X Qu, JR Jiao… – Interacting with …, 2014 – iwc.oxfordjournals.org … relatively few. In the area of HCI and affective computing, many work employed emotive music to emotion elicitation and prediction using computational models (Baumgartner et al., 2006; Kim and André, 2008). Recently, auditory … Cited by 3 Related articles All 4 versions

Affect detection from non-stationary physiological data using ensemble classifiers O AlZoubi, D Fossati, S D’Mello, RA Calvo – Evolving Systems, 2014 – Springer … 2.2 Approaches to adaptive classification in changing environments Many affective computing studies have relied on the use of traditional batch static classification techniques (Kim and André 2008; Picard et al. 2001; Lichtenstein et al. 2008; Kim et al. 2004). … Related articles

An Event Driven Fusion Approach for Enjoyment Recognition in Real-time F Lingenfelser, J Wagner, E André… – Proceedings of the …, 2014 – dl.acm.org Page 1. An Event Driven Fusion Approach for Enjoyment Recognition in Real-time Florian Lingenfelser Human Centered Multimedia University of Augsburg lingenfelser@hcm-lab.de Johannes Wagner Human Centered Multimedia University of Augsburg wagner@hcm-lab.de … Related articles

Recognizing player goals in open-ended digital games with markov logic networks EY Ha, JP Rowe, BW Mott… – Plan, Activity and Intent …, 2014 – intellimedia.ncsu.edu … Plan and goal recognition models have been devised for story understanding systems (Charniak and Goldman, 1993), productivity software (Horvitz, et al., 1998), intelligent tutoring systems (Conati, Gertner, and VanLehn, 2002), and dialogue systems (Blaylock and Allen, 2003 … Cited by 2 Related articles

Emoticon Analysis for Chinese Health and Fitness Topics S Yu, H Zhu, S Jiang, H Chen – Smart Health, 2014 – Springer … Kaomoji-toshokan, http://www.kaomoji.com/kao/text/ 13. Kaomojiya, http://kaomojiya.com/ 14. Nakamura, J., Ikeda, T., Inui, N., Kotani, Y.: Learning Face Marks for Natural Language Dialogue Systems. … IEEE Transactions on Affective Computing 1(1), 46–59 (2010) 17. … Related articles All 3 versions

Development of computational models of emotions for autonomous agents: a review LF Rodríguez, F Ramos – Cognitive Computation, 2014 – Springer Logo Springer. Search Options: … Cited by 3 Related articles

A fuzzy psycho-physiological approach to enable the understanding of an engineer’s affect status during CAD activities Y Liu, JM Ritchie, T Lim, Z Kosmadoudi… – Computer-Aided …, 2014 – Elsevier … Abstract. Affective computing involves human–computer interaction (HCI) where an interface can detect and respond in context to a user’s emotions. … Keywords. Affective computing; Fuzzy logic; Psycho-physiological signals; CAD. 1. Introduction. … Related articles All 2 versions

Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure A Mencattini, E Martinelli, G Costantini… – Knowledge-Based …, 2014 – Elsevier Speech emotion recognition (SER) is a challenging framework in demanding human machine interaction systems. Standard approaches based on the categorical model o. Cited by 1 Related articles All 3 versions

Effects of off-activity talk in human-robot interaction with diabetic children I Kruijff-Korbayova, E Oleari, I Baroni… – Robot and Human …, 2014 – ieeexplore.ieee.org … [9] T. Bickmore and T. Giorgino, “Health dialog systems for patients … Maat, G. McKeown, S. Pammi, M. Pantic, C. Pelachaud, B. Schuller, E. de Sevin, M. Valstar, and M. Wöllmer, “Building au- tonomous sensitive artificial listeners,” IEEE Transactions on Affective Computing, 2011. … Related articles

Visualization and user interaction methods for multiscale biomedical data RMM Vaquero, J Rzepecki, KI Friese… – 3D Multiscale …, 2014 – Springer Logo Springer. Search Options: … Cited by 1 Related articles All 7 versions

Linguistic and multilingual issues in virtual worlds and serious games: a general review S Cruz-Lara, A Denis, N Bellalem – The Journal of Virtual Worlds …, 2014 – hal.inria.fr … friendly or apologetic; expressive synthetic speech would for example make more information available to blind and partially sighted people, and enrich their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for … Related articles All 7 versions

Generic data processing & analysis architecture of a personal health system to manage daily interactive sessions in patients with major depression A Bresó Guardado – 2014 – riunet.upv.es … 1 Edinburgh’s School of Informatics was involved on: Coordination of the Project, clinical expertise, and dialogue systems … Affective Computing Modelling Therapeutic Empathy in a Virtual Agent to Support the Remote Treatment of Major Depression Juan Martínez-Miranda … Related articles All 2 versions

Learning When Serious: Psychophysiological Evaluation of a Technology-Enhanced Learning Game. B Cowley, M Fantato, C Jennett, M Ruskov… – … Technology & Society, 2014 – ifets.info … There are several ways that the TARGET platform aims to achieve learning: 1. By playing the scenario and observing the causal logic of the dialogue system, the learner can … Proceedings of the 4th international conference on Affective computing and intelligent interaction (pp. … Cited by 1 Related articles All 6 versions

User-awareness and adaptation in conversational agents V Deli?, M Gnjatovi?, N Jakovljevi?… – Facta Universitatis, …, 2014 – casopisi.junis.ni.ac.rs … IEEE Transactions on Affective Computing, vol. 1, no. 2, pp. … Workshop on Human-Computer Conversation, Bellagio, Italy, no pagination, 2008. [14] M. Gnjatovi? and V. Deli?, “A Cognitively-Inspired Method for Meaning Representation in Dialogue Systems”. In Proc. … Cited by 2 Related articles All 5 versions

A Guide to Instructional Techniques, Strategies and Tactics to Manage Learner Affect, Engagement, and Grit RA Sottilare, JA DeFalco, J Connor – … for Intelligent Tutoring …, 2014 – books.google.com Page 41. Design Recommendations for Intelligent Tutoring Systems-Volume 2: Instructional Management CHAPTER 2?A Guide to Instructional Techniques, Strategies and Tactics to Manage Learner Affect, Engagement, and … Related articles All 7 versions

Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features D Bone, C Lee, S Narayanan – 2014 – ieeexplore.ieee.org … Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC. 2014.2326393, IEEE Transactions on Affective Computing … Citation information: DOI 10.1109/TAFFC.2014.2326393, IEEE Transactions on Affective Computing … Cited by 2 Related articles All 3 versions

A hierarchical probabilistic framework for recognizing learners’ interaction experience trends and emotions I Jraidi, M Chaouachi, C Frasson – Advances in Human-Computer …, 2014 – dl.acm.org Page 1. Research Article A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and Emotions Imène Jraidi, Maher Chaouachi, and Claude Frasson Department of Computer Science … Related articles All 2 versions

Interpreting Final Rises: Task and Role Factors C Lai – cstr.ed.ac.uk … and M. Turunen, “Review: Some background on dialogue management and conversational speech for dialogue systems,” Computer Speech … M. Schröder, “Investigating the prosody and voice quality of social signals in scenario meetings,” Affective Computing and Intelligent … Related articles All 4 versions

Iterative perceptual learning for social behavior synthesis I de Kok, R Poppe, D Heylen – Journal on multimodal user interfaces, 2014 – Springer Page 1. J Multimodal User Interfaces (2014) 8:231–241 DOI 10.1007/s12193-013- 0132-1 ORIGINAL PAPER Iterative perceptual learning for social behavior synthesis Iwan de Kok • Ronald Poppe • Dirk Heylen Received: 13 … Cited by 6 Related articles All 11 versions

A Security System by using Face and Speech Detection CS Patil, GN Dhoot – 2014 – inpressco.com … Practical applications of speech recognition and dialogue systems bring sometimes a requirement to synthesize or reconstruct the speech from … LDA for Feature Extraction to Recognize Affect in Gait Kinematics, 3rd International Conference on Affective Computing and Intelligent … Related articles

User behavior fusion in dialog management with multi-modal history cues M Yang, J Tao, L Chao, H Li, D Zhang, H Che… – Multimedia Tools and …, 2014 – Springer … An effective multi-modal behavior fusion model and flexible behavior sensitive DM are necessary for practical human computer dialog systems. … In real practice dialog system, V21–V22 could be calculated synchronously with speech recognition. … Cited by 1 Related articles All 2 versions

Statistical Dialog Management for Health Interventions U Yasavur – 2014 – digitalcommons.fiu.edu … Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains … based on the brief intervention counseling style via spoken dialogue systems. … Related articles All 3 versions

[BOOK] Natural Language Generation in Interactive Systems A Stent, S Bangalore – 2014 – books.google.com … Her current research interests include affective computing, multimodal user interfaces, and synthetic agents. … He has worked at Saarland University in Saarbrucken, Germany, where he helped build the bilingual German/English SAMMIE in-car dialogue system; at Cycorp; and at … Cited by 1 Related articles All 3 versions

Bimodal Emotion Recognition from Speech and Text W Ye, X Fan – International Journal of Advanced Computer Science …, 2014 – thesai.org … This method can be applied to a telephone service center dialogue system to recognize customers’ negative emotions, such as anger, impatience etc. … Affective computing will help artificial intelligence become more and more humanized. … Related articles All 3 versions

Usability Evaluation Methods: A Systematic Review AI Martins, A Queirós, AG Silva… – Human Factors in …, 2014 – books.google.com Page 272. 250 Chapter 13 Usability Evaluation Methods: A Systematic Review Ana Isabel Martins University of Aveiro, Portugal Alexandra Queirós University of Aveiro, Portugal ABSTRACT Anabela G. Silva University of Aveiro … All 2 versions

Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko – Computational Intelligence, 2014 – Wiley Online Library … They can be used in numerous applications of emotion detection, such as personality detection, automatic dialog systems, automatic tutoring systems, customer relation models, and even simply highlighting of words and phrases in a piece of text to quickly convey regions of … Cited by 5 Related articles All 3 versions

[BOOK] Conversational Informatics: A Data-Intensive Approach with Emphasis on Nonverbal Communication T Nishida, A Nakazawa, Y Ohmoto, Y Mohammad – 2014 – books.google.com … an inspiring resource for students, teachers, and researchers that wish to go beyond traditional dialog systems and investigate the … common framework for scientists working in natural language pro- cessing and multimodal communication, affective computing, computer vision … Cited by 4 Related articles All 3 versions

Extracting and Visualizing Research Impact Semantics M Wallace – Semantic and Social Media Adaptation and …, 2014 – ieeexplore.ieee.org … A. Wendemuth, G. Rigoll, Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies IEEE Transactions on Affective Computing (TAC), vol … emotion representation as a basis for speech synthesis with non-extreme emotions, Affective dialogue systems, Springer, 2004 …

Speech emotion identification analysis based on different spectral feature extraction methods N Kamaruddin, A Rahman, A Wahab… – … Technology for The …, 2014 – ieeexplore.ieee.org … emotion identification system in many applications, namely; smart call center, intelligent tutoring system and adaptive spoken dialogue system. … and ACM Fong, “ Quantitative Study of Individual Emotional States in Social Networks,” IEEE Transactions on Affective Computing, Vol …

Validating Attention Classifiers for Multi-Party Human-Robot Interaction ME Foster – workshops.acin.tuwien.ac.at … [5] D. Bohus and E. Horvitz. Learning to predict engagement with a spoken dialog system in open-world settings. … Bridging the gap between social animal and unsocial machine: A survey of social signal processing. IEEE Transactions on Affective Computing, 3(1):69–87, 2012. … Related articles All 2 versions

ForgetMeNot: What and how users expect intelligent virtual agents to recall and forget personal conversational content D Richards, K Bransky – International Journal of Human-Computer Studies, 2014 – Elsevier An important aspect of human interaction is our ability to store, retain, recall and organise information. Memory assists in building rapport and gaining trust. Cited by 2 Related articles All 4 versions

Adjective-Based Estimation of Short Sentence’s Impression NTT An, M Hagiwara – ep.liu.se Page 1. KEER2014, LINKÖPING | JUNE 11-13 2014 INTERNATIONAL CONFERENCE ON KANSEI ENGINEERING AND EMOTION RESEARCH Adjective-Based Estimation of Short Sentence’s Impression Nguyen Thi Thu An1, Masafumi Hagiwara2 … Related articles

Triggering effective social support for online groups R Kumar, CP Rosé – … Transactions on Interactive Intelligent Systems (TiiS …, 2014 – dl.acm.org … In line with recent developments in data-driven approaches for building dialog systems, we present a novel technique for learning behavior … Work in the area of affective computing and its application to tutorial dialog has focused on identification of student’s emotional states [D … Cited by 2 Related articles

Using Electroencephalography to Measure Perceived Video Quality S Arndt, J Antons, R Schleicher, S Moller, G Curio – 2014 – ieeexplore.ieee.org … experiments. Index Terms—Videos, affective computing, electroencephalog- raphy. I. INTRODUCTION WITH the rise of multimedia streaming in the past years the drive to deliver high quality contents is present more than ever. … Cited by 3 Related articles

Task-based Teaching of Computer-aided Translation in a Progressive Manner JX Liu – Conference Chairs and Editors of the Proceedings – asling.org … Extraction and Information Retrieval. He is also interested in (or has worked on) a number of other topics such as Recommender Systems, Multiagent Systems, Affective Computing, amongst others. Hernani completed his BSc … Related articles All 2 versions

Introduction To Emotion Recognition A Konar, A Halder… – Emotion Recognition: A …, 2014 – media.johnwiley.com.au Page 1. JWST523-c01 JWST523-Konar October 21, 2014 9:1 Printer Name: Trim: 6.125in × 9.25in 1 INTRODUCTION TO EMOTION RECOGNITION Amit Konar and Anisha Halder Artificial Intelligence Laboratory, Department … Related articles All 2 versions

An emotion understanding framework for intelligent agents based on episodic and semantic memories M Kazemifard, N Ghasem-Aghaee, BL Koenig… – Autonomous agents and …, 2014 – Springer Page 1. Auton Agent Multi-Agent Syst (2014) 28:126–153 DOI 10.1007/s10458-012- 9214-9 An emotion understanding framework for intelligent agents based on episodic and semantic memories Mohammad Kazemifard • Nasser … Cited by 2 Related articles All 6 versions

Avatars Versus Agents: A Meta-Analysis Quantifying the Effect of Agency on Social Influence J Fox, SJ Ahn, JH Janssen, L Yeykelis… – Human–Computer …, 2014 – Taylor & Francis … Social dialogue with embodied conversational agents. In JCJ Kuppevelt, L. Dybkjaer, & NO Bernson (Eds.), Advances in natural multimodal dialogue systems (pp. 1–32). … In Affective computing & intelligent interaction (pp. 557–566). Berlin, Germany: Springer. … Cited by 1 Related articles

Effects of Conversational Agents on Activation of Communication in Thought-Evoking Multi-Party Dialogues K Dohsaka, R HIGASHINAKA, Y MINAMI… – … on Information and …, 2014 – search.ieice.org … Conversational interfaces such as conversational agents and dialogue systems have been typically used in situations where a single user interacts with a single agent or sys- tem[1]–[3]. However, a new area of research on con- versational interfaces has emerged that deals … Related articles All 4 versions

Learning Individual Behavior in an Educational Game: A Data-Driven Approach SJ Lee, YE Liu, Z Popovic – Proceedings of the 7th …, 2014 – homes.cs.washington.edu Page 1. Learning Individual Behavior in an Educational Game: A Data-Driven Approach Seong Jae Lee, Yun-En Liu, and Zoran Popovic Certer for Game Science, Computer Science and Engineering University of Washington {seongjae, yunliu, zoran}@cs.washington.edu … Cited by 1 Related articles All 5 versions

Analysis and predictive modeling of body language behavior in dyadic interactions from multimodal interlocutor cues Z Yang, A Metallinou, S Narayanan – 2014 – ieeexplore.ieee.org … B. Audio Feature Extraction We extract audio features from the speech regions of inter- acting participants, ie, pitch, energy and 12 Mel Frequency Cepstral Coefficients (MFCCs), which are commonly used by the affective computing community [41]. … Cited by 1 Related articles

Identifying relevant cues for uncertainty in dialogue T Schrank, B Schuppler – spsc.tugraz.at … to perform this task. As humans make use of such paralinguistic information quite heavily to shape communication, computer systems such as dialogue systems are likely to benefit from its use as well. This thesis provides an … Related articles

[BOOK] Human-Computer Interaction K MEENA, R SIVAKUMAR – 2014 – books.google.com … Contents D vii 3.9 Subsumption Architecture 77 3.9.1 Structural Organisation of Subsumption Architecture 77 3.9.2 Behavioural Description 78 Review Questions 79 4. Spoken Dialogue System 80 4.1 Introduction 80 4.2 Factors Defining Dialogue System 81 4.2.1 Overview of … Cited by 6 Related articles

Reactive Statistical Mapping: Towards the Sketching of Performative Control with Data N d’Alessandro, J Tilmanne, M Astrinaki… – Innovative and Creative …, 2014 – Springer … We think that there is a lack in the literature about how these trajectories should react according to very short-term gestures, as most of the research is focusing on a larger time window and the overall discussion of dialog systems. … Cited by 2 Related articles All 7 versions

Gesture and speech in interaction: an overview P Wagner, Z Malisz, S Kopp – Speech Communication, 2014 – Elsevier Gestures and speech interact. They are linked in language production and perception, with their interaction contributing to felicitous communication. The multif. Cited by 17 Related articles All 4 versions

Weighted Krippendorff’s alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation. JY Antoine, J Villaneau, A Lefeuvre – EACL 2014, 2014 – hal.archives-ouvertes.fr … They concern the affective dimension of language (emotion and opinion annotation). They have been conducted with naïve coders to pre- serve the spontaneity of judgment which is searched for in affective computing. The third experiment concerns coreference annotation. … Cited by 1 Related articles All 12 versions

‘War against our Children’: Stance and Evaluation in #BringBackOurGirls Campaign Discourse on Twitter and Facebook I Chiluwa, P Ifukor – Discourse & Society – researchgate.net Page 1. 1 Accepted in DISCOURSE & SOCIETY vol. 26 (3), 2015 Final version (unedited): accepted 30 th July, 2014 To cite: Chiluwa, I. & Ifukor, P. (forthcoming) ‘War against our Children’: Stance and Evaluation in #BringBackOurGirls … Cited by 1 Related articles

Agile Facilitation for Collaborative Learning D Adamson – 2014 – cs.cmu.edu Page 1. February 19, 2014 DRAFT Thesis Proposal: Agile Facilitation for Collaborative Learning David Adamson February 2014 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee … Related articles All 2 versions

Theoretical Analysis of Diversity in an Ensemble of Automatic Speech Recognition Systems. K Audhkhasi, AM Zavou, PG Georgiou… – IEEE/ACM Transactions …, 2014 – sail.usc.edu Page 1. 2329-9290 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Cited by 5 Related articles All 2 versions

An Empathic Virtual Buddy for Social Support JM Van der Zwaan – 2014 – repository.tudelft.nl Page 1. Page 2. Page 3. An Empathic Virtual Buddy for Social Support Page 4. Page 5. An Empathic Virtual Buddy for Social Support Proefschrift ter verkrijging van de graad van doctor aan de Technische Universiteit Delft, op gezag van de Rector Magnificus prof. ir. … Cited by 1 Related articles All 2 versions

Scaffolding Made Visible AM Olney – Design Recommendations for Intelligent Tutoring …, 2014 – books.google.com … com/doi/pdf/10.1207/s15327809jls1303_6 Person, NK & Graesser, AC (2003). Fourteen facts about human tutoring: Food for thought for ITS developers. In AIED 2003 Workshop Proceedings on Tutorial Dialogue Systems: With a view toward the classroom (pp. 335-344). … Related articles All 6 versions

Automatic Detection of Social Behavior of Museum Visitor Pairs E Dim, T Kuflik – ACM Transactions on Interactive Intelligent Systems ( …, 2014 – dl.acm.org Page 1. 17 Automatic Detection of Social Behavior of Museum Visitor Pairs EYAL DIM and TSVI KUFLIK, University of Haifa, Israel In many cases, visitors come to a museum in small groups. In such cases, the visitors’ social … Cited by 1 Related articles

Synthesis of Spontaneous Speech With Syllable Contraction Using State-Based Context-Dependent Voice Transformation CH Wu, YC Huang, CH Lee… – Audio, Speech, and …, 2014 – ieeexplore.ieee.org … of spontaneous speech is variable and the pronunciation varia- tions are likely to occur. Speech synthesis with natural and col- loquial speech output covers a wide range of applications, such as dialogue systems, storytelling systems, tutoring systems, computer games, etc. … Related articles All 4 versions

Effects of lying in practical Turing tests K Warwick, H Shah – AI & SOCIETY, 2014 – Springer … Discourse Process 45(1):1–23CrossRef. Kobsa A (1990) User modelling in dialog systems: potentials and hazards. … In: Vallverdú J, Casacuberta D (eds), Handbook of research in synthetic emotions and sociable robotics: new applications in affective computing and artificial … Cited by 4 Related articles All 2 versions

Grounding emotion appraisal in autonomous humanoids K Kiryazov – 2014 – diva-portal.org Page 1. Linköping Studies in Science and Technology, Thesis No. 1657 Licentiate Thesis Grounding Emotion Appraisal in Autonomous Humanoids by Kiril Kiryazov Department of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden … Related articles All 6 versions

[BOOK] Object-Oriented User Interfaces for Personalized Mobile Learning E Alepis, M Virvou – 2014 – Springer … al. 2008; Bernhardt and Robinson 2008). Affective computing has recently become a very important field of research as it focuses on recognizing and reproducing human feelings within human computer interaction. The skills … Related articles All 7 versions

An evaluation framework for multimodal interaction I Wechsung – 2014 – Springer … An issue mentioned by Alan Black: “One standard measure of spoken dialogue systems is task completion. Did the user successfully get the weath- er? … Proceedings IWSDS2011 Workshop on Para- linguistic Information and its Integration in Spoken Dialogue Systems. … Cited by 2 Related articles All 6 versions

Head and facial gestures synthesis using PAD model for an expressive talking avatar J Jia, Z Wu, S Zhang, HM Meng, L Cai – Multimedia Tools and Applications, 2014 – Springer Page 1. Head and facial gestures synthesis using PAD model for an expressive talking avatar Jia Jia & Zhiyong Wu & Shen Zhang & Helen M. Meng & Lianhong Cai © Springer Science+Business Media New York 2013 Abstract … Cited by 5 Related articles All 6 versions

Robust Object Classification in Underwater Sidescan Sonar Images by Using Reliability-Aware Fusion of Shadow Features N Kumar, U Mitra, SS Narayanan – 2014 – ieeexplore.ieee.org … In fact, this approach is partly similar to the idea of garbage modeling commonly used in automatic speech recognition tasks [12], [13], where these models are used to identify out of vo- cabulary (OOV) words in dialog systems [14] or keyword spot- ting (KWS) [15] systems. … Related articles All 2 versions

Generating emphatic speech with hidden Markov model for expressive speech synthesis Z Wu, Y Ning, X Zang, J Jia, F Meng, H Meng… – Multimedia Tools and …, 2014 – Springer … Emphasis synthesis can be useful in many human-computer interaction scenarios, eg to highlight important words to attract user’s attention in spoken dialog system [11, 14, 18], to provide corrective feedback for computer-aided pronunciation training [7, 9], etc. … Cited by 1 Related articles

Statistical Analysis of Interactional Patterns: a Social Signal Processing Perspective A Pesarin – 2014 – researchgate.net … understanding spontaneous dialogue [18, 19]; 2. spoken-dialog classification, defined in [20] as the problem of assigning a task category to spoken utterances in task-oriented dialog systems; 3. dialog analysis and classification …

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com Page 1. the essence of knowledge FnT SIG 7:3-4 Deep Learning; Methods and Applications Li Deng and Dong Y u Foundations and Trends® in Signal Processing 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu now now Page 2. 7.1. … Related articles All 8 versions

Feel and sense the product: experimental based optimization methodology E GATTI – 2014 – politesi.polimi.it Page 1. Feel And Sense The Product: Experimental based optimization methodology by Elia Gatti PhD Candidate 26° Ciclo Tutor: Monica Bordegoni Page 2. 1 TABLE OF CONTENTS INTRODUCTION |ONE: …. … All 2 versions