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Implicit Training of Virtual Agents [chapter]

Anton Bogdanovych, Marc Esteva, Simeon Simoff, Carles Sierra
Lecture Notes in Computer Science  
This paper provides a brief overview of an implicit training method used for teaching autonomous agents to represent humans in 3D Virtual Worlds without any explicit training efforts being required.  ...  Conclusion We presented the implicit training method and described an approach to implement it using a learning graph. Future work includes further development of this concept and its evaluation.  ...  Implicit Training An important feature of 3D Electronic Institutions is that every human participant is always supplied with a corresponding software agent that communicates the desires of the human to  ... 
doi:10.1007/978-3-540-74997-4_36 fatcat:7yunxcgf25bwxhuhlp6db7fcpq

SENSITIZING SOCIAL AGENTS FOR VIRTUAL TRAINING

Hideyuki Nakanishi, Shinya Shimizu, Katherine Isbister
2005 Applied Artificial Intelligence  
& Virtual training allows the learning and rehearsal of implicit cues, e.g., trustworthy leading action in an emergency evacuation, that cannot be easily understood through merely reading about situations  ...  Using these results, we obtain optimal parameters for nonverbal cues of trustworthiness, and then can use them to guide agents who evaluate human performance in the same training scenarios.  ...  In the virtual evacuation training, a user tries to lead the crowd agents.  ... 
doi:10.1080/08839510590910192 fatcat:cuo3fvmagza4nh2y6soegqjr5i

A virtual human agent for assessing bias in novice therapists

Thomas D Parsons, Patrick Kenny, Louise Cosand, Arvind Iyer, Chris Courtney, Albert A Rizzo
2009 Studies in Health Technology and Informatics  
In these experiments we made use of Virtual Human Agent technology to assess persons' psychological and physiological responses to Virtual Standardized Patients.  ...  The first experiment provided support for the usability of the Virtual Standardized Patients through the use of a virtual character emulating an adolescent male with conduct disorder.  ...  Virtual Human Agents The potential of using virtual humans as virtual standardized patients (VSP) for use in clinical assessments, interviews, and diagnostic training is becoming recognized as the technology  ... 
pmid:19377161 fatcat:c6fbwyh67zf5laycur35ef4o6y

Deep Reinforcement Learning Using Neurophysiological Signatures of Interest

Victor Shih, David Jangraw, Sameer Saproo, Paul Sajda
2017 Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction - HRI '17  
We present a study where human neurophysiological signals are used as implicit feedback to alter the behavior of a deep learning based autonomous driving agent in a simulated virtual environment.  ...  Virtual Environment We used the Unity3D-based virtual environment from a previous experiment to train the AI agent [1] .  ...  Deep Reinforcement Learning To train the AI agent to navigate the virtual environment, we used a deep reinforcement learning paradigm [3] that optimizes the function for learning the correct action under  ... 
doi:10.1145/3029798.3038399 dblp:conf/hri/ShihJSS17 fatcat:zyvne6bxxzf3rorsqoxwpe7bam

Individualized Virtual Humans for Social Skills Training [chapter]

H. Chad Lane
2010 Lecture Notes in Computer Science  
Virtual humans are now being used as role players for a variety of domains that involve social skills.  ...  In this paper, we discuss how such systems can provide individualized practice through dynamically adjusting the behaviors of virtual humans to meet specific learner needs.  ...  Introduction Pedagogical agents are most often designed to play the role of tutor or peer [1] in virtual learning environments.  ... 
doi:10.1007/978-3-642-15431-7_33 fatcat:vhro76uzd5hczbe6lnv4k4fecu

Modeling agent determination of spatial relationships

John Mooney, Rohan Gandhi, Jan M. Allbeck
2013 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games - I3D '13  
Introduction There is an ongoing desire to make virtual humans a more accessible tool for use in entertainment, training, and evaluations.  ...  These implicit understandings do not exist in virtual humans and therefore must be constructed with representations and processes.  ... 
doi:10.1145/2448196.2448236 dblp:conf/si3d/MooneyGA13 fatcat:fxjf3thzxfgdtknhvb2v6xxc5m

When Agents Become Partners: A Review of the Role the Implicit Plays in the Interaction with Artificial Social Agents

Sanobar Dar, Ulysses Bernardet
2020 Multimodal Technologies and Interaction  
The review highlights the value of incorporating implicit interaction capabilities in Human Agent Interaction (HAI) which we believe will lead to satisfying human and artificial social agent team performance  ...  The active entrainment concept behind the relaxation system is generic and can be applied to other human agent interaction domains of implicit physiology-based interaction.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/mti4040081 fatcat:4sphk7bwzzgxdjisjsfcjn4lym

Virtual Environments for Training: From Individual Learning to Collaboration with Humanoids [article]

Stéphanie Gerbaud, Bruno Arnaldi
2007 arXiv   pre-print
The next generation of virtual environments for training is oriented towards collaborative aspects.  ...  In this paper we put forward a model of humanoid that suits both virtual humans and representations of real users, according to collaborative training activities.  ...  The authors would like to thank all the members of the GVT project as well as Fabien Lotte, Stéphane Donikian, Stéphane Le Foll and Grégoire Jacob for their helpful comments on this paper.  ... 
arXiv:0708.0712v1 fatcat:asgjl3jejfcqdhslmitv4wot74

Combining Virtual Reality and Machine Learning for Leadership Styles Recognition

Elena Parra, Aitana García Delgado, Lucía Amalia Carrasco-Ribelles, Irene Alice Chicchi Giglioli, Javier Marín-Morales, Cristina Giglio, Mariano Alcañiz Raya
2022 Frontiers in Psychology  
The aim of this study was to evaluate the viability of a new selection procedure based on machine learning (ML) and virtual reality (VR).  ...  Although the results should be taken with caution as the small sample does not allow generalization of the data, this study illustrates the potential for a future research roadmap that combines VR, implicit  ...  At the beginning of each situation, a problem was presented by one of the virtual agents to the other agents and the participant.  ... 
doi:10.3389/fpsyg.2022.864266 pmid:35712148 pmcid:PMC9197484 fatcat:wky5d26rs5cphj3d4t5sfukwrm

Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest [article]

Victor Shih, David C Jangraw, Paul Sajda, Sameer Saproo
2017 arXiv   pre-print
Learning AI agent that is controlling a virtual autonomous vehicle.  ...  This is the first demonstration of how an hBCI can be used to provide implicit reinforcement to an AI agent in a way that incorporates user preferences into the control system.  ...  In this paper, we present a novel approach that uses decoded human neurophysiological and ocular time-series data as an implicit reinforcement signal for an AI agent that is driving a virtual automobile  ... 
arXiv:1709.04574v1 fatcat:eud2yqbsmnbvvpmiw7htwrs3va

How to engage children in self-administered dietary assessment programmes

A. S. Lu, J. Baranowski, N. Islam, T. Baranowski
2012 Journal of human nutrition and dietetics (Print)  
To improve accuracy, the intake environment could be recreated virtually; training sessions could be interspersed to improve portion estimation; and implicit attitudinal measures could be incorporated  ...  Technology-based assessment instruments for children's self-report of diet can be enhanced in light of developments in media psychology and communication science.  ...  Conflicts of interests, source of funding and authorship The authors declare that they have no conflicts of interest. No funding is declared.  ... 
doi:10.1111/j.1365-277x.2012.01258.x pmid:22594618 pmcid:PMC3883798 fatcat:2sfizn6upzbzni4kavxwnvhzka

AFFECT: Altered-Fidelity Framework for Enhancing Cognition and Training

Ryan P. McMahan, Nicolas S. Herrera
2016 Frontiers in ICT  
These categories are based on the intersections of three aspects of system fidelity (interaction fidelity, scenario fidelity, and display fidelity) and three stages of memory (encoding, implicit retrieval  ...  In this paper, we present a new framework for analyzing and designing virtual reality (VR) techniques.  ...  Artificial intelligence, virtual agents, and crowd simulations have been focused on for developing education and training systems.  ... 
doi:10.3389/fict.2016.00029 fatcat:uexvlqbydffhln5invavlzedjy

Two Body Problem: Collaborative Visual Task Completion [article]

Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
2019 arXiv   pre-print
A key element in collaboration is communication that can be either explicit, through messages, or implicit, through perception of the other agents and the visual world.  ...  In this paper we study the problem of learning to collaborate directly from pixels in AI2-THOR and demonstrate the benefits of explicit and implicit modes of communication to perform visual tasks.  ...  [39] propose to guide a virtual agent via language commands.  ... 
arXiv:1904.05879v1 fatcat:7pigo6swrjhqhpkbo4obxbq5im

Postnonclassical methodology and application of virtual reality technologies in social research

Yury P. Zinchenko, Artem I. Kovalev, G.Ya. Menshikova, Ludmila A. Shaigerova
2015 Psychology in Russia: State of Art  
One of the most promising methods that has rapidly developed in recent years is the technology of virtual reality (VR).  ...  Subjects of social research activities require changes in the paradigm at all levels of research: from the statement of the problem to the elaboration of the appropriate methods and the analysis of the  ...  The influence of the following factors was studied: 1) the subject's sex; 2) the avatar's sex; 3) perception of the virtual partner as an agent (i.e., a pre-programmed virtual object) or as an avatar (  ... 
doi:10.11621/pir.2015.0405 fatcat:whiuyfdbgngnpm4ji2plrenloa

Combining Virtual Reality and Organizational Neuroscience for Leadership Assessment

Elena Parra, Irene Alice Chicchi Giglioli, Jestine Philip, Lucia Amalia Carrasco-Ribelles, Javier Marín-Morales, Mariano Alcañiz Raya
2021 Applied Sciences  
In this article, we introduce three-dimensional Serious Games (3DSGs) under an evidence-centered design (ECD) framework and use an organizational neuroscience-based eye-tracking measure to capture implicit  ...  While ECD is a well-established framework used in the design and development of assessments, it has rarely been utilized in organizational research.  ...  consideration the role of implicit leadership signals.  ... 
doi:10.3390/app11135956 fatcat:xkctxcyiaba7nb537ppdsd3hl4
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