Notes:
In 2015, virtual human systems were used for a variety of purposes, including training, simulation, entertainment, and research. For example, they were used to train medical students in the diagnosis and treatment of patients, to simulate military scenarios for training purposes, to create realistic characters for video games and other forms of entertainment, and to conduct research on human behavior and cognition. Virtual human systems were also used in customer service and other areas where they could provide a more interactive and engaging experience for users.
The references below discuss the use of mobile devices and apps for suicide prevention, specifically mentioning virtual human systems that can assist with assessment of risk, provide educational and supportive resources, and facilitate communication with healthcare professionals. These virtual human systems are characterized by their realistic appearances, ability to think and act like humans, and ability to express themselves both verbally and non-verbally. The text also mentions the use of social skills, such as active listening, mimicry, and gestures, in virtual human systems to increase feelings of connection and rapport. The text mentions the use of virtual human systems in healthcare interviews and discusses the value of Wizard-of-Oz studies in the development of such systems. The text also mentions the potential for virtual human systems to provide training data and the possibility of using runtime user models to adapt virtual human systems to individual users. The text suggests that virtual human systems could serve as valuable partners in healthcare as technology-enabled patient advocates.
Researchers have successfully incorporated social skills, such as active listening, mimicry, and gestures, into virtual human systems. These behaviors can help increase feelings of connection and rapport between the virtual human and the user. Virtual humans with these social skills have been found to be more effective at eliciting self-disclosure and building rapport with users compared to their predecessors. The use of these social skills can also improve the effectiveness of virtual human systems in contexts such as clinical training, treatment, psychological assessment, and clinical research.
Wizard-of-Oz (WOZ) studies are a method used in the development and evaluation of virtual human systems, in which a human operator (the “wizard”) controls the behavior of the virtual human (the “oz”) in real-time, while the user interacts with the virtual human as if it were autonomous. These studies can be useful for testing the usability and effectiveness of virtual human systems, and for gathering data on user behaviors and interactions with the system. WOZ studies are often used in early stages of development, when the system is not fully autonomous and still requires human intervention to function properly. They can also be used as a means of comparing the performance of different virtual human systems, or as a way of evaluating the impact of different design choices on user experience.
In the context of virtual humans, runtime user models refer to models that are updated and used during the runtime of the virtual human system, while the user is interacting with the virtual human. These models can be used to track and predict the user’s behavior and preferences, and to adapt the virtual human’s behavior and responses accordingly. This allows the virtual human to have a more natural and personalized interaction with the user. The information contained in the runtime user model can come from various sources, such as the user’s inputs and actions, the virtual human’s observations and interactions with the user, and other sources of data about the user. The use of runtime user models can help to improve the realism and effectiveness of virtual human systems, and can facilitate the development of more intelligent and personalized virtual human assistants.
A virtual human patient advocate would be a computer-generated virtual human (or virtual assistant) that is designed to assist patients in navigating the healthcare system and advocate for their needs. It could provide information about different treatment options, help schedule appointments and follow-up visits, and assist with coordinating care among multiple healthcare providers. The virtual patient advocate could also help patients understand their diagnoses and treatment plans, provide education about self-management of their condition, and offer support and encouragement during the recovery process. It could be accessed through a website, mobile app, or other digital platform, and could be programmed to have a variety of social skills, such as active listening, empathy, and the ability to provide emotional support, in order to create a sense of connection and rapport with patients.
See also:
Toward natural turn-taking in a virtual human negotiation agent
D DeVault, J Mell, J Gratch – 2015 AAAI Spring Symposium Series, 2015 – aaai.org
… And they can provide training data that helps system builders to boot- strap an automated system to follow. In our prior work on virtual human systems, we have found Wizard-of-Oz stud- ies valuable for all of these reasons (DeVault et al. 2013; Gratch et al. 2014; DeVault et al …
SimSensei demonstration: a perceptive virtual human interviewer for healthcare applications
LP Morency, G Stratou, D DeVault, A Hartholt… – Twenty-Ninth AAAI …, 2015 – aaai.org
… Virtual humans that can develop intimacy with people are now becoming reality. Researchers have successfully incor- porated social skills (eg, active listening, mimicry, ges- tures) into virtual human systems (Bickmore, Gruber, and Picard 2005; Gratch, Kang, and Wang 2013) …
A demonstration of the perception system in SimSensei, a virtual human application for healthcare interviews
G Stratou, LP Morency, D DeVault… – 2015 international …, 2015 – ieeexplore.ieee.org
… Researchers have successfully incorpo- rated social skills (eg, active listening, mimicry, gestures) into virtual human systems [1], [2], [3]. Indeed, compared to their predecessors, virtual humans with such social skills increase feelings of connection and rapport, namely the …
An ontology-based question system for a virtual coach assisting in trauma recollection
M Tielman, M van Meggelen, MA Neerincx… – … on Intelligent Virtual …, 2015 – Springer
… Rizzo, A., Lange, B., Buckwalter, JG, Forbell, E., Kim, J., Sagae, K., Williams, J., Rothbaum, BO, Difede, J., Reger, G., Parsons, T., Kenny, P.: An intelligent virtual human system for providing healthcare information and support. Med …
Exploring the implications of virtual human research for human-robot teams
J Gratch, S Hill, LP Morency, D Pynadath… – … Conference on Virtual …, 2015 – Springer
… interaction to increase confidence of shared understanding. The computational models developed in [23] have been implemented and used within a number of virtual human systems (eg, [24]). Another point of intersection is runtime …
A platform for building mobile virtual humans
AW Feng, A Leuski, S Marsella, D Casas… – … on Intelligent Virtual …, 2015 – Springer
… Our platform differs from desktop-based virtual human systems in that: (1) it leverages commonly used mobile capabilities, such as the location, gyroscope and microphone sensors, (2) it runs on mobile platforms, such as Android, and does not require a separate mobile …
The effect of an animated virtual character on mobile chat interactions
SH Kang, AW Feng, A Leuski, D Casas… – Proceedings of the 3rd …, 2015 – dl.acm.org
Page 1. The Effect of An Animated Virtual Character on Mobile Chat Interactions Sin-Hwa Kang, Andrew W. Feng, Anton Leuski, Dan Casas, and Ari Shapiro USC Institute for Creative Technologies Playa Vista, USA kang,feng,leuski,casas,shapiro@ict.usc.edu …
Virtual standardized patients for assessing the competencies of psychologists
TD Parsons – Encyclopedia of Information Science and Technology …, 2015 – igi-global.com
… human like interactions. These virtual human systems consist of characters that have realistic appearances, can think and act like humans, and can express themselves both verbally and non-verbally. Additionally, these virtual …
Human Centered Computing: First International Conference, HCC 2014, Phnom Penh, Cambodia, November 27-29, 2014, Revised Selected Papers
Q Zu, B Hu, N Gu, S Seng – 2015 – books.google.com
Page 1. Qiaohong Zu Bo Hu Ning Gu Sopheap Seng (Eds.) Human Centered Computing First International Conference, HCC 2014 Phnom Penh, Cambodia, November 27–29, 2014 Revised Selected Papers 123 Page 2. Lecture …
Mobile health technologies for suicide prevention: feature review and recommendations for use in clinical care
DD Luxton, JD June, SA Chalker – Current Treatment Options in …, 2015 – Springer
Mobile devices, and the apps (software applications) that operate on them, have potential to help manage and prevent suicidal behavior by assisting with assessment of risk, providing educational and…
Stigma, American military personnel and mental health care: Challenges from Iraq and Afghanistan
M Schreiber, GP McEnany – Journal of Mental Health, 2015 – Taylor & Francis
Skip to Main Content …
What engineering technology could do for quality of life in Parkinson’s disease: A review of current needs and opportunities
JA Stamford, PN Schmidt… – IEEE journal of biomedical …, 2015 – ieeexplore.ieee.org
Page 1. 1862 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 19, NO. 6, NOVEMBER 2015 What Engineering Technology Could Do for Quality of Life in Parkinson’s Disease: A Review of Current Needs and Opportunities …
The technology-enabled patient advocate: A valuable emerging healthcare partner
SM Kent, P Yellowlees – Telemedicine and e-Health, 2015 – liebertpub.com
Benjamin Franklin’s decision method is acceptable and helpful with a conversational agent
D Mäurer, K Weihe – Intelligent Interactive Multimedia Systems and …, 2015 – Springer
… Pers. 41(1), 203–212 (2007)CrossRefGoogle Scholar. 13. Rizzo, A., Sagae, K., Forbell, E., Kim, J., Lange, B., Buckwalter, J., Williams, J., Parsons, T., Kenny, P., Traum, D., et al.: Simcoach: an intelligent virtual human system for providing healthcare information and support …
A multimodal adaptive dialogue manager for depressive and anxiety disorder screening: a wizard-of-oz experiment
K Tsiakas, L Watts, C Lutterodt… – Proceedings of the 8th …, 2015 – dl.acm.org
… [4] Rizzo, Albert, et al. “SimCoach: An intelligent virtual human system for providing healthcare information and support.” The Interservice/Industry Training, Simulation & Education Conference (I/ITSEC). Vol. 2011. No. 1. National Training Systems Association, 2011 …
Development of Web-Based Platform for Privacy Protective Avatar Mediated Distance-Care
Y Kobayashi, D Hasegawa, S Shirakawa… – … on Pervasive Computing …, 2015 – Springer
… SCOPE). References. 1. Rizzo, A., Buckwalter, JG, Forbell, E., Kim, J., Sagae, K., Williams, J., Difede, J.: SimCoach: an intelligent virtual human system for providing healthcare information and support. Int. J. Disabil. Hum. Dev …
Virtual Patient Simulation Training for Clinical Social Work Diagnostic Assessment and Skills Evaluation
M Washburn – 2015 – uh-ir.tdl.org
Page 1. 1 VIRTUAL PATIENT SIMULATION TRAINING FOR CLINICAL SOCIAL WORK DIAGNOSTIC ASSESSMENT AND SKILLS EVALUATION BY MICHELLE E. WASHBURN BA Rice University 1997 MA University of Houston Clear Lake 2001 DISSERTATION …