Notes:
Chatbots are increasingly being used in patient treatment to help improve the delivery of health, medical, therapeutic, and other types of therapy. Chatbots can be used in a variety of ways to support patient treatment, including:
- Providing information and education: Chatbots can be used to provide patients with information and education about their health conditions, medications, and treatment options. They can also provide information about healthy living habits, such as exercise and diet.
- Monitoring patient progress: Chatbots can be used to monitor patient progress and collect data on various aspects of their health, including symptoms, treatment adherence, and lifestyle habits. This data can be used to help healthcare providers track patient progress and make informed treatment decisions.
- Providing emotional support: Chatbots can be used to provide emotional support to patients, including by offering encouragement, motivation, and guidance. They can also provide a listening ear and a safe space for patients to express their emotions and concerns.
- Offering telemedicine: Chatbots can be used to support telemedicine, which is the delivery of healthcare services remotely using technology. This can be especially useful during the COVID-19 pandemic, when in-person visits may be difficult or impossible.
- Supporting self-management: Chatbots can be used to support self-management, which is the process of taking an active role in managing one’s own health and wellbeing. Chatbots can provide patients with tools and resources to help them manage their health conditions and adopt healthy habits.
See also:
100 Best Virtual Patient Videos | 100 Best Virtual Reality Therapy Videos | 100 Best Watson Health Videos | Avatars & Therapy 2018 | Health & Medical Chatbots (Case Studies) | Medical Coding | Medical Expert Systems | UMLS (Unified Medical Language System) & Dialog Systems | Virtual Patient & Chatbots 2018 | Virtual Reality Therapy News 2018 | Virtual Reality Therapy News 2019
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Medical and health systems
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DATE OF PUBLICATION July 2019
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N Soni, EK Sharma, N Singh, A Kapoor – arXiv preprint arXiv:1905.02092, 2019 – arxiv.org
… Oracle, multinational computer technology corporation, “With regards to chatbots, which are in many ways the most recognizable form of AI, 80% of sales and … Product recommendation system: Tmall Smart Selection, AI-powered chatbot: Dian Xiaomi …
FeelFit-Design and Evaluation of a Conversational Agent to Enhance Health Awareness.
P Meier, JH Beinke, C Fitte, A Behne, F Teuteberg – ICIS, 2019 – researchgate.net
… A substantial proportion of therapy costs result from insufficient patient adherence to ther- apy … field of mental health, wherein they support psychotherapy in the treatment of depression … provides conversational diagnoses, and DOCYET (DOCYET 2019), which refers patients to a …
Comparison and efficacy of synergistic intelligent tutoring systems with human physiological response
F Alqahtani, N Ramzan – Sensors, 2019 – mdpi.com
… physiological signals. This method also began with medical applications, and focuses on computer-vision based tools to analyze the expressions of a patient during check-ups, treatment, and rehabilitation or therapy. For instance …
Automatización inteligente en la gestión de la comunicación
KCV Abad, T Bonini – … interdisciplinar de estudios de Comunicación y …, 2019 – recyt.fecyt.es
… in an organization, the support of several technologies is fundamental, that we consider four the ones with the greatest impact and that others could possibly increase according to advances in technological developments: – Internet of things – The big data – Robots – Chatbot …
Pilot Data Collection Survey and Analytical Techniques for Persuasion Engineering Systems
A Braca, B Spillane, V Wade, P Dondio – tara.tcd.ie
… Research into persuasive dialog systems is impor- tant as it can be used to increase the … This will help to determine significant effects between the treatment and con- trol groups … Use of portable digital media players increases patient mo- tivation and practice in voice therapy …
The metonymic and echoic exploitation of scenarios in meaning making
AG Masegosa – ORGANISING COMMITTEE – fungramkb.com
… In the second part of the paper, we devote our attention to the computational treatment of the … replicate the linguistic capacities in the right hemisphere of the brain so that patients after surgery … e) What type of compensatory mechanisms can we provide so that the patient does not …
AI in Consulting
M Bayati – 2019 – theseus.fi
… developing to deal with side-effects that could result from drug usage and therefore guarantee an element of patient safety as they develop medications that have lesser … Page 20. 16 urgency for treatment. Thus, patients who would be brought in suffering, for example …
Virtual humans: Today and tomorrow
D Burden, M Savin-Baden – 2019 – books.google.com
… key mind processes of a virtual human Kismet robot Research on dialogue systems for language … and virtual assistant systems, such as Siri, Alexa and Cortana, the chatbot-based virtual … found in several mobile phone applications and the customer service chatbots which are …
There is no Artificial General Intelligence
J Landgrebe, B Smith – arXiv preprint arXiv:1906.05833, 2019 – arxiv.org
… For we also review the current state of the art in dialogue system building and conclude by identifying what we see as the potential for dialogue systems that would … first comprehensively described by Gehlen (1988, chapters 19ff.); for a contem- porary treatment, see Gómez …
Discourse-Level Dialogue Management
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… along with the availability of tagged corpus allows for a most systematic treatment of dialogue … The workhorse of traditional dialog systems is slot-filling (Wang and Lemon 2013) which … Twelve users (author’s colleagues) asked the chatbot 15–20 questions reflecting their financial …
A Comprehensive Review of Ethical Frameworks in Natural Language Processing
PF North – 2019 – scss.tcd.ie
… A patient’s failure to report embarrassing symptoms, therefore, might actually have a negative … where ”discrimination can occur when individuals or groups receive unfair treatment as a … challenges when making use of crowdsourced material for spoken dialog systems in vehicles …
Design and Analysis of a Human-Machine Interaction System for Researching Human’s Dynamic Emotion
X Sun, Z Pei, C Zhang, G Li… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… or feel-terrible factor in human–machine communica- tion applications, such as medical treatment of mental … Dynamic emotional modeling can be used in the dialog system. Today’s dialog systems are becoming increasingly more intelligent and can be applied to complex tasks …
A USABILITY STUDY OF THE INTELLIGENT ASSISTANT FOR SENIOR CITIZENS TO SEEK HEALTH INFORMATION
S Hu – 2019 – cdr.lib.unc.edu
… oriented dialogue system by voice-based intelligent assistants, which sets a foundation for the … chatbot, and real person will help to shape the development direction of multimodal intelligent … Find out the treatment and medicine you can take to deal with a burn. (5 minutes) …
Relational Agents in Mental Health
H Gaffney – 2019 – research.manchester.ac.uk
… 110 Patient and Public Involvement (PPI) … Registration number: CRD42018106652 Key words: relational agent; conversational agent; chatbot; mental health; psychological … of relational agents in the treatment of mental health problems …
A Brief Encounter with Vincent: The Effect on Self-Compassion from a Single Interaction with a Chatbot That Gives or Asks for Help
N van As – pure.tue.nl
… den Brink & Berger, 2016) and even complete VR sessions for clinical patients (Falconer et al., 2016; Falconer et al., 2014) … a great extent, but differed on its roles of patient and therapist: Lee et al … program is non-human and does not require such treatment. 3 Page 13 …
Using technology for pronunciation teaching, learning, and assessment
MC Pennington, P Rogerson-Revell – English Pronunciation Teaching and …, 2019 – Springer
… designed to simulate a psychiatric interview between doctor and patient taking place … and CAPT programs to be able to use spoken dialogue systems for language … A spoken dialogue system combines speech recognition, natural language understanding, and speech synthesis …
Multimodal Analysis and Estimation of Intimate Self-Disclosure
M Soleymani, K Stefanov, SH Kang, J Ondras… – 2019 International …, 2019 – dl.acm.org
… In a meta-analysis, Weisband and Kiesler [42] found that patients are more likely to self-disclose to computers rather … recog- nition of self-disclosure has been limited to language under- standing in interactions with spoken dialogue system [35], online patient support group …
Feedpal: Understanding opportunities for chatbots in breastfeeding education of women in india
D Yadav, P Malik, K Dabas, P Singh – … of the ACM on Human-Computer …, 2019 – dl.acm.org
… 3.2 Conversational Agents: Growth and Opportunities Although the buzz around chatbot might appear to be newer, the history dates back to 1966 … Low doctor to patient ratios, high cost, and complex procedures increase the gap between professionals and patients …
A Review on Dyadic Conversation Visualizations-Purposes, Data, Lens of Analysis
JY Kim, RA Calvo, K Yacef, NJ Enfield – arXiv preprint arXiv:1905.00653, 2019 – arxiv.org
… Lastly, the nature of human-to-bot conversation can al- so be different from human-to-human conversations. In a general, unconstrained context, current dialogue systems are incapable of generating responses that are rated as highly appropriate by humans [45] …
Human-Computer Interaction–INTERACT 2019: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings
D Lamas, F Loizides, L Nacke, H Petrie, M Winckler… – 2019 – books.google.com
Page 1. David Lamas· Fernando Loizides· Lennart Nacke· Helen Petrie· Marco Winckler · Panayiotis Zaphiris (Eds.) Human-Computer Interaction – INTERACT 2019 17th IFIPTC 13 International Conference Paphos, Cyprus, September 2–6, 2019 Proceedings, Part III Page 2 …
Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals
OA Demasi – 2019 – escholarship.org
… Ben, you have been so supportive and patient with me and my research. It is incredible … If a smart device could track someone’s mental wellbeing, clinicians could better understand their patients’ conditions and design novel treatment interventions …
BACHELORS THESIS
ME Adam – 2019 – researchgate.net
… natural language” [Dal16]; they are further known as: conversational dialogue systems, chatterbots, chat … Therefore, chatbots need to both, understand emotions and be empathic [FBX+18 … address empathy and emotional intelligence when implementing the later chatbot, as they …
Responsible innovation in online therapy
KV Vold, D Peters, R Calvo, D Robinson – 2019 – repository.cam.ac.uk
… and a patient is an intimate one, depending on detailed knowledge of the patient’s life, which … upon in considering these issues is the cost-benefit considerations at play in the treatment of rare … there is an absolute need to obtain informed consent, so that when patients agree to …
Investigating the Automation of Self-Help Therapies by means of Visual Tooling
GJ Kolkman – 2019 – dspace.library.uu.nl
… This helps the patient identify problematic behaviour and change it accordingly … By facing those fears patients become aware of their self-limiting behaviour, while slowly being introduced to … a study on insomnia treatment almost half the people did not finish the treatment, with an …
Commercialization of multimodal systems
PR Cohen, R Tumuluri – The Handbook of Multimodal-Multisensor …, 2019 – dl.acm.org
… among others. With more limited functionality, Mabu™ from Catalia Healthare is intended to engage patients in a long-term wellness relationship through conversa- tion that is tailored to the patient’s emotional state. Mabu reminds …
Proactive Communication in Human-Agent Teaming
EM van Zoelen – 2019 – dspace.library.uu.nl
… systems, while the work done in this thesis is not aimed at creating a dialogue system … how much money you will get from your health insurance for a certain medical treatment … Slot Filling: finite-state automata Traditional task-oriented dialogue systems as well as most current …
Early integration for movement modeling in latent spaces
R Hornung, N Chen, P van der Smagt – The Handbook of Multimodal …, 2019 – dl.acm.org
… Related to companion technologies introduced in Chapter 11 and referenced in Chapter 13, the models may also be used for control, eg, to adjust a rehabilitation robot exactly to the needs of a patient and only support motion execution if the patient is actively participating …
Embedded multimodal interfaces in robotics: applications, future trends, and societal implications
EA Kirchner, SH Fairclough, F Kirchner – The Handbook of Multimodal …, 2019 – dl.acm.org
Page 1. 13Embedded Multimodal Interfaces in Robotics: Applications, Future Trends, and Societal Implications Elsa A. Kirchner, Stephen H. Fairclough, Frank Kirchner 13.1 Introduction In the past, robots were primarily used …
Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence
D Shaokang, C Jiarui, LIU Yong, BAO Tianyi… – ZTE …, 2019 – tech-en.zte.com.cn
Page 1. ZTE COMMUNICATIONS September 2019 Vol. 17 No. 3 Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence DONG Shaokang, CHEN Jiarui, LIU Yong, BAO Tianyi, and GAO Yang Review …
Privacy concerns of multimodal sensor systems
G Friedland, MC Tschantz – The Handbook of Multimodal-Multisensor …, 2019 – dl.acm.org
… Bill Lee 55 Male 75 Larynx Some of the attributes (column headers) intuitively identify the person the row is about, for example, the name “attribute.” Other attributes are intuitively private, such as the type of cancer a patient has. Some attributes fall somewhere in between …
Hybrid Methodology: Combining Ethnography, Cognitive Science, and Machine Learning to Inform the Development of Context?Aware Personal Computing and …
M CURY, E WHITWORTH, S BARFORT… – … Praxis in Industry …, 2019 – Wiley Online Library
Page 1. Ethnographic Praxis in Industry Conference Proceedings 2019 EPIC Proceedings pp 254–281, ISSN 1559-8918, https://www.epicpeople.org/epic Hybrid Methodology Combining Ethnography, Cognitive Science, and …
JAQ: a chatbot for foreign students
A Gellens, S Gustin, Y Deville – dial.uclouvain.be
… A chatbot (also called chatterbot, conversational agent or sometimes spoken dialogue system) is a computer program able to converse … Figure 2.1: Chatbot abstract view … When talking about chatbots, there can be a potential confusion with other types of systems, either because …
Computational Framework for Facilitating Intimate Dyadic Communication
D Utami – 2019 – repository.library.northeastern.edu
… professional help, citing barriers such as high treatment cost, lack of time, and preference to solve problems on one’s own [14] … dissertation, including the Furhat robot and the IrisTK dialog system … socially interact with stroke patients during the motor rehabilitation process …
Profiling Artificial Intelligence as a Material for User Experience Design
Q Yang – 2019 – reports-archive.adm.cs.cmu.edu
… The rst is the design of a clinical decision-support system that can e ectively col- laborate with doctors in making life-and-death treatment decisions. It exempli es Level 1 … patient. The system extracts insights from previous implant recipients’ medical records and then predicts …
Multimodal dialogue processing for machine translation
A Waibel – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – dl.acm.org
… Field-adaptable and extendable systems. Languages and vocabularies change, and interpreting dialogue systems must evolve alongside such changing languages and vocabularies and adapt to any given dialogue scenario …
Nonverbal behavior in multimodal performances
A Cafaro, C Pelachaud, SC Marsella – The Handbook of Multimodal …, 2019 – dl.acm.org
Page 1. 6Nonverbal Behavior in Multimodal Performances Angelo Cafaro, Catherine Pelachaud, Stacy C. Marsella 6.1 Introduction The physical, nonverbal behaviors that accompany face-to-face interaction convey a wide variety …
Ergonomics for the design of multimodal interfaces
A Heloir, F Nunnari, M Bachynskyi – The Handbook of Multimodal …, 2019 – dl.acm.org
Page 1. IIPART MULTIMODAL BEHAVIOR Page 2. Page 3. 7Ergonomics for the Design of Multimodal Interfaces Alexis Heloir, Fabrizio Nunnari, Myroslav Bachynskyi 7.1 Introduction There are many ways a machine can infer …
People v. Robots: A Roadmap for Enforcing California’s New Online Bot Disclosure Act
B Stricke – Vand. J. Ent. & Tech. L., 2019 – HeinOnline
… Comparison of Eliza with Modern Dialogue Systems, 58 COMPUTERS HUM. BEHAv. 278 (2016). 66. These terms are used in conflict, even in academic literature, though for many users and sellers, personal assistants are disembodied audio chatbots that perform tasks for the …
Understanding the interplay between technology and social ties in later life
S Nikitina – 2019 – iris.unitn.it
… chatbot conceptual model, contributing to the experiments design and conducting experiments, contributing to writing the paper. Chapter 7. Understanding the requirements and behaviors for reminiscence chatbots Building …
How to Survive a Robot Invasion: Rights, Responsibility, and AI
DJ Gunkel – 2019 – books.google.com
… 3.1 Natural Language Processing 3.1.1 The Imitation Game 3.1.2 Chatbots 3.2 Machine Learning 3.2.1 AlphaGo … 3.2 AIML code for an ELIZA-type chatbot … Today an increasingly significant portion of this work can be performed by a speech dialogue system (SDS), like Google …
ICTAI 2019
YM Boumarafi, Y Salhi – computer.org
… CLASSIFICATION – 1 METAPHOR – A Multiagent Architecture using IoT and Classification Algorithms for Referral Postoperative Patients 479 … NEURAL NETS – 3 RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment 816 …
Walk with me: An iterative design process involving senior citizens in the making of a persuasive eHealth system
S Dedinja – 2019 – diva-portal.org
… community health data, and real-time monitoring of the vital signs of the patients (Germanakos et … work processes as good as they should; usability should be improved to guarantee patient safety; national … After “edit”, save info 6. Click on the edit icon in medical treatment 7. Click …
Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
Page 1. Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies Cristina Barros Catalán Page 2. Departamento de Lenguajes y Sistemas Informáticos Escuela Politécnica Superior Proposal of a Hybrid Approach for …
Structured Knowledge Discovery from Massive Text Corpus
C Zhang – arXiv preprint arXiv:1908.01837, 2019 – arxiv.org
… Figure 1 illustrates three scenarios on community Q&A, voice assistant/chatbot, and service center Q&A … For example, a concept transi- tion tSymptom?Medicine in the healthcare domain usually starts with patients describing their … Diet Cause Treatment Surgery Recover Risk …
Deep learning based recommender system: A survey and new perspectives
S Zhang, L Yao, A Sun, Y Tay – ACM Computing Surveys (CSUR), 2019 – dl.acm.org
… ACM Computing Surveys, Vol. 52, No. 1, Article 5. Publication date: February 2019. Page 7. Deep Learning Based Recommender System: A Survey and New Perspectives 5:7 speech recognition, chatbots, and many others. RNN and CNN play critical roles in these tasks …
Parsimonious Vole: a Systemic Functional Parser for English
E Costetchi – 2019 – media.suub.uni-bremen.de
… clinical narratives or patient’s reports about their health and gather information on the side effects … extract names of drugs, patients and pharmaceutical companies and relation detection … for extended insights. They deploy chat bots for increased responsiveness by providing …