Notes:
This text appears to be discussing the use of virtual human systems, also known as embodied conversational agents or virtual agents, in a variety of applications. These systems are designed to interact with humans in a natural, human-like manner, and can be used to model and predict human behavior, facilitate communication and collaboration, and provide education and support.
The text mentions the use of virtual human systems in the fields of consumer behavior, organizational behavior, emergency management, scheduling and optimization, and real-time social behavior. It also mentions the use of virtual human systems in medical education, specifically for practicing patient interviewing, and in the development of virtual reality technologies for specialized healthcare.
The text mentions the importance of flexibility and portability in virtual human systems, and mentions the use of procedural speech to achieve these goals. It also discusses the importance of nonverbal communication in human interaction and mentions the use of facial expressions in particular.
The text also mentions the use of virtual human systems in the investigation of drug delivery methods, specifically the use of a “virtual human system” as an individualized digital twin to improve the efficiency of drug delivery. It also mentions the use of natural product-based drugs and the use of a virtual human system-centered platform for drug discovery.
Procedural speech refers to the use of pre-recorded or synthesized speech sounds that can be combined and modified to create new phrases and sentences. In the context of virtual humans, procedural speech is used to allow the virtual human to speak in a natural, human-like manner, without the need to pre-record all possible phrases and sentences that the virtual human might need to say.
Procedural speech can be achieved in a number of ways, including through the use of text-to-speech synthesis, in which written text is converted into spoken words, or through the use of phoneme synthesis, in which individual speech sounds are combined and modified to create new words and phrases.
In virtual humans, procedural speech can be used to enable the virtual human to speak in multiple languages, to provide a range of different voices and accents, and to allow the virtual human to respond to different input and context in a flexible and dynamic manner. For example, a virtual human with procedural speech capabilities could be programmed to provide different responses depending on the user’s input, such as answering questions or making suggestions based on the user’s preferences and needs.
- Artificial consumer behavior: Artificial consumer behavior refers to the use of artificial intelligence (AI) and machine learning techniques to model and analyze consumer behavior. This may involve collecting and analyzing data on consumer preferences, purchasing decisions, and other aspects of consumer behavior, in order to gain insights into how consumers make decisions and to predict future consumer behavior.
- Artificial organizational behavior: Artificial organizational behavior refers to the use of AI and machine learning techniques to model and analyze organizational behavior. This may involve collecting and analyzing data on employee behaviors, communication patterns, and other aspects of organizational behavior, in order to gain insights into how organizations function and to predict future organizational behavior.
- Avatar-mediated system: An avatar-mediated system is a computer system that uses an avatar, which is a digital representation of a person or character, to interact with users. Avatars can be used in a variety of settings, including online social networks, virtual worlds, and virtual reality environments, and can be used to facilitate communication, collaboration, and other interactions between users.
- Behavior planner: A behavior planner is a computer program that is designed to generate and execute plans for achieving a specific goal or behavior. Behavior planners can be used in a variety of settings, including in robotics, artificial intelligence, and other areas of computer science, to enable a system to achieve complex tasks or behaviors.
- Behavioral markup system: A behavioral markup system is a system that uses a set of rules or guidelines to annotate or describe the behavior of a system or process. This can involve describing the actions or behaviors of a system, as well as the conditions under which these behaviors occur, in order to facilitate the understanding and analysis of the system’s behavior.
- Dialog module: A dialog module is a component of a computer system that is responsible for managing and controlling dialog or conversation between the system and a user. Dialog modules can be used in a variety of settings, including in chatbots, virtual assistants, and other systems that are designed to interact with humans in a natural, human-like manner.
- Emotive virtual human: An emotive virtual human is a type of virtual agent that is designed to express and respond to emotions. Emotive virtual humans may use facial expressions, body language, and other nonverbal cues to convey emotions, and may be able to recognize and respond to the emotions of users.
- Expression recognition: Expression recognition refers to the ability of a computer system to recognize and interpret facial expressions and other nonverbal cues in order to understand and respond to the emotions of a user. Expression recognition technologies can be used in a variety of settings, including in virtual agents and other systems that are designed to interact with humans in a natural, human-like manner.
- Immersive virtual human: An immersive virtual human is a type of virtual agent that is designed to be fully immersive, meaning that it is able to fully engage and interact with a user in a virtual environment. Immersive virtual humans may use a variety of technologies, including virtual reality, to create a fully immersive experience for the user.
- Intelligent virtual human: An intelligent virtual human is a type of virtual agent that is designed to be intelligent and able to adapt to different situations and contexts. Intelligent virtual humans may use artificial intelligence and machine learning techniques to learn from their interactions with users and to improve their performance over time.
- Multi-agent system: A multi-agent system is a computer system that consists of multiple agents, which are autonomous software entities that are able to act independently and make decisions on their own. Multi-agent systems can be used in a variety of settings, including in artificial intelligence, robotics, and other areas of computer science, to enable a system to perform complex tasks or behaviors.
- Perception system: A perception system is a computer system that is designed to process and interpret sensory information in order to understand and respond to the environment. Perception systems can be used in a variety of settings, including in robotics, artificial intelligence, and other areas of computer science, to enable a system to perceive and understand its surroundings.
- Real-time virtual human: A real-time virtual human is a type of virtual agent that is designed to interact with users in real-time, meaning that it is able to respond to user input and actions in real-time, without any significant delay. Real-time virtual humans may be used in a variety of settings, including in virtual reality, chatbots, and other systems that are designed to interact with humans in a natural, human-like manner.
- Social technology system: A social technology system is a computer system that is designed to facilitate social interaction and communication between users. Social technology systems can be used in a variety of settings, including online social networks, virtual worlds, and other online communities, to enable users to connect with each other and share information and ideas.
- VHS (Virtual Human System): A Virtual Human System (VHS) is a computer system that uses a virtual human, which is a digital representation of a person or character, to interact with users. Virtual human systems may be used in a variety of settings, including virtual reality, chatbots, and other systems that are designed to interact with humans in a natural, human-like manner.
- Virtual human architecture: Virtual human architecture refers to the design and structure of a virtual human system, which is a computer system that uses a virtual human, which is a digital representation of a person or character, to interact with users. Virtual human architecture may include the hardware and software components of the system, as well as the algorithms and processes that enable the virtual human to interact with users in a natural, human-like manner.
- Virtual human dialog: Virtual human dialog refers to the conversation or dialogue between a virtual human, which is a digital representation of a person or character, and a user. Virtual human dialog may involve the use of natural language processing and other artificial intelligence technologies to enable the virtual human to understand and respond to user input in a natural, human-like manner.
- Virtual human framework: A virtual human framework is a set of tools, guidelines, and principles that are used to design and develop virtual human systems, which are computer systems that use virtual humans, which are digital representations of people or characters, to interact with users. Virtual human frameworks may include tools for creating and animating virtual humans, as well as guidelines and principles for designing and implementing virtual human interactions.
- Virtual human platform: A virtual human platform is a computer system that is designed to support the development and use of virtual human systems, which are computer systems that use virtual humans, which are digital representations of people or characters, to interact with users. Virtual human platforms may include tools and frameworks for creating and animating virtual humans, as well as APIs and other interfaces.
- Virtual human systems: Virtual human systems are computer systems that use virtual humans, which are digital representations of people or characters, to interact with users. Virtual human systems may be used in a variety of settings, including in virtual reality, chatbots, and other systems that are designed to interact with humans in a natural, human-like manner.
- Virtual patient system: A virtual patient system is a computer-based system that uses a virtual patient, which is a digital representation of a patient, to simulate a patient encounter in a healthcare setting. Virtual patient systems may be used to train healthcare professionals or to evaluate the performance of healthcare systems.
- Virtual soldier system: A virtual soldier system is a computer-based system that uses a virtual soldier, which is a digital representation of a soldier, to simulate military training scenarios. Virtual soldier systems may be used to train military personnel or to evaluate the performance of military systems.
- Virtual tutoring system: A virtual tutoring system is a computer-based system that uses a virtual tutor, which is a digital representation of a tutor, to provide instructional support and guidance to students. Virtual tutoring systems may be used to supplement or enhance traditional tutoring methods, or to provide tutoring services to students in remote or underserved areas.
Resources:
- lindsayvirtualhuman.com .. the beauty of the human body through the lens of computing
Wikipedia:
References:
See also:
Cyber-physical-social systems: The state of the art and perspectives
JJ Zhang, FY Wang, X Wang, G Xiong… – IEEE Transactions …, 2018 – ieeexplore.ieee.org
… We found that any physical–social technology system can interact with multiple virtual human systems, for example, consumer behavior arti- ficial system, organizational behavior artificial system, emer- gency artificial system, scheduling and optimization artificial system, real …
New Technologies to Enhance Computer Generated Interactive Virtual Humans
KT Yao, DM Davis, JJ Liu, NJ Kaimakis – the Proceedings of the SISO …, 2018 – hpc-educ.org
… [6] Rizzo, A., Lange, B., Buckwalter, JG, Forbell, E., Kim, J., Sagae, K., … & Parsons, T. (2011). “SimCoach: an Intelligent Virtual Human System for Providing Healthcare Information and Support.” International Journal on Disability and Human Development, 10(4), 277-281 …
Virtual and Augmented Reality: New Frontiers for Clinical Psychology
S Ventura, RM Baños, C Botella – State of the Art Virtual Reality …, 2018 – books.google.com
Page 110. Chapter 7 Virtual and Augmented Reality: New Frontiers for Clinical Psychology Sara Ventura, Rosa M. Baños and Cristina Botella Additional information is available at the end of the chapter http://dx. doi. org/10.5772/intechopen …
Exploring medical cyberlearning for work at the human/technology frontier with the mixed-reality emotive virtual human system platform
MA Zielke, D Zakhidov, GM Hardee… – 2018 IEEE 6th …, 2018 – ieeexplore.ieee.org
This paper describes the Mixed-Reality Emotive Virtual Human System Platform-a machine for cyberlearning at the human/technology frontier. Our initial use case is for medical school students practicing patient interviewing in preparation for Objective Structured Clinical …
Generative modeling of multimodal multi-human behavior
B Ivanovic, E Schmerling, K Leung… – 2018 IEEE/RSJ …, 2018 – ieeexplore.ieee.org
Page 1. Generative Modeling of Multimodal Multi-Human Behavior Boris Ivanovic1 Edward Schmerling2 Karen Leung3 Marco Pavone3 Abstract—This work presents a methodology for modeling and predicting human behavior …
Back to the future: lessons from knowledge engineering methodologies for chatbot design and development
G Cameron, D Cameron, G Megaw… – … HCI Conference 2018, 2018 – pure.ulster.ac.uk
… 2011. An intelligent virtual human system for providing healthcare information and support. Studies in Health Technology and Informatics, 163: 503-509. [15] Justin Sablich. 2018. How to Plan Your Next Vacation With a Chatbot …
The influence of dynamics and speech on understanding humanoid facial expressions
N Lazzeri, D Mazzei, M Ben Moussa… – International …, 2018 – journals.sagepub.com
Human communication relies mostly on nonverbal signals expressed through body language. Facial expressions, in particular, convey emotional information that all…
CONET: a virtual human system-centered platform for drug discovery
D Lee – Frontiers of Computer Science, 2018 – Springer
One of the most promising approaches to overcome the current limits of new drug development is to utilize natural products with known empirical efficacy, ie, reverse pharmacology [1, 2]. Natural product-based drugs can be classified into two categories …
HVUAN–A Rapid-Development Framework for Spanish-Speaking Virtual Humans
D Herrera, L Herrera, Y Velandia – … on Practical Applications of Agents and …, 2018 – Springer
… recognizer. Keywords. Virtual human system Rapid development frameworks Embodied conversational agent Nonverbal behavior generator Gesture Dialogue manager. Download conference paper PDF. 1 Introduction. Embodied …
An Eye Gaze Model for Controlling the Display of Social Status in Believable Virtual Humans
M Nixon, S DiPaola, U Bernardet – 2018 IEEE Conference on …, 2018 – ieeexplore.ieee.org
… TTS voices were used since being able to rely on procedural speech is important to the overall design goals of flexibility and portability in a virtual human system. Finally, the mutual gaze behavior is managed by custom Python scripts …
Research on Educational Content Service Platform Based on Virtual Reality Technology
Y Jinli, H Weihui – 2018 – webofproceedings.org
… paid commission. After the completion of system development, the large data processing analysis and terminal operation of artificial intelligence are added, and the corresponding virtual human system is added. When users …
Design of a Mobile Health Monitoring Virtual Human Application and Empirical Evaluation of the Effectiveness of the Interactive Virtual Human on Presence …
P Singh – 2018 – tigerprints.clemson.edu
Page 1. Clemson University TigerPrints All Theses Theses 8-2018 Design of a Mobile Health Monitoring Virtual Human Application and Empirical Evaluation of the Effectiveness of the Interactive Virtual Human on Presence, Healthcare Outcomes and Usability …
Practical Guidelines for Design of Human-in-the-Loop Systems: Lessons Learned
V Moshnyaga – Practical Issues of Intelligent Innovations, 2018 – Springer
… While there are many approaches for modeling and analysis of human motion, motion prediction, and algorithm optimization [20, 21], there are no tools yet capable of supporting simultaneous modeling and virtual human-system simulation at the system design phase …
Virtual Reality and Assistive Technologies: A Survey.
S Yasmin – International Journal of Virtual Reality, 2018 – search.ebscohost.com
Page 1. The International Journal of Virtual Reality , 2018, 18(02): pp30-pp57 30 Virtual Reality and Assistive Technologies: A Survey Shamima Yasmin 1 1 Department of Computer Science, Eastern Washington University …
Targeting a Tumor
Y Feng – 2018 – ansys.com
… This controlled-air drug stream method is clearly more efficient than the conventional aerosol delivery method. HUMAN DIGITAL TWINS A key to the success of these simulations is the development of a “virtual human system” — an individualized digital twin …
What virtual reality technologies could provide to specialized healthcare in Finland?
S Salmi – 2018 – theseus.fi
Page 1. Sami Salmi What virtual reality technologies could provide to specialized healthcare in Finland? Helsinki Metropolia University of Applied Sciences Master’s Degree Information Technology Master’s Thesis 4th of May 2018 Page 2. Forewords …
Technological speculations for african oral storytelling: implication of creating expressive embodied conversational agents
MA Allela – Proceedings of the Second African Conference for …, 2018 – dl.acm.org
… O Rothbaum, JoAnn Difede, Greg Reger, Thomas Parsons, and Patrick Kenny. 2011. An Intelligent Virtual Human System for Providing Healthcare Information and Support. In Medicine Meets Virtual Reality 18. IOS Press. [21] WJJ Schnipper de Leeuw. 1980 …
An in silico investigation of a lobe-specific targeted pulmonary drug delivery method
Y Feng, X Chen, M Yang – 2018 Design …, 2018 – … .asmedigitalcollection.asme.org
… and to resolve any geometric features present there. Fig. 1 The Virtual Human System with replaceable upper airway configurations RESULTS AND INTERPRETATION The Lagrange model for particle transport dynamics has …
The impact of agent facial mimicry on social behavior in a prisoner’s dilemma
R Hoegen, J Van Der Schalk, G Lucas… – Proceedings of the 18th …, 2018 – dl.acm.org
… them. Results also show a complex association between smiling, feelings of rapport, and cooperation. We discuss the implications of these findings on virtual human systems and theories of cooper- ation. CCS CONCEPTS …
How We Talk with Robots: Eliciting Minimally-Constrained Speech to Build Natural Language Interfaces and Capabilities
KA Pollard, SM Lukin, M Marge… – Proceedings of the …, 2018 – journals.sagepub.com
… Robotica 33(1) 1-18. Rizzo, A., Sagae ,K, Forbell, E, Kim, J., Lange, B, Buckwalter, J., Williams, J., Parsons, T., Kenny,P., Traum ,D., Difede ,J. and Rothbaum, B.. (2011) SimCoach: An Intelligent Virtual Human System for Providing Healthcare Information and Support …
A Dialogue Annotation Scheme for Weight Management Chat using the Trans-Theoretical Model of Health Behavior Change
R Manuvinakurike, S Bharadwaj, K Georgila – arXiv preprint arXiv …, 2018 – arxiv.org
… 2011. SimCoach: An intelligent virtual human system for providing healthcare information and support. International Journal on Disability and Human Development, 10(4):277–281. NA Tuah, Cressida Amiel, Samrina Qureshi, Josip Car, Balvinder Kaur, and Azeem Majeed …
Service bottlenecks in pedestrian dynamics
O Handel, A Borrmann – Transportmetrica A: transport science, 2018 – Taylor & Francis
… doi:10.1016/S1084-8568(01)00030-X. Handel, O. 2016. “Modeling Dynamic Decision-making of Virtual Humans.” Systems 4 (1): 1–26. Handel, O., DH Biedermann, PM Kielar, and A. Borrmann. 2014. Transportation Research Procedia, Vol. 2, 669–674. Delft: Elsevier …
Nuclear Power and Electric Grid Resilience: Current Realities and Future Prospects
SR Greene – 2018 – trace.tennessee.edu
Page 1. University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 8-2018 NUCLEAR POWER AND ELECTRIC GRID RESILIENCE: CURRENT REALITIES AND FUTURE PROSPECTS …