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Modeling Behavior of Virtual Actors: A Limited Turing Test for Social-Emotional Intelligence

  • Arthur Chubarov
  • Daniil Azarnov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 636)

Abstract

This work presents the design, implementation and study of (1) a videogame-like virtual environment simulator, enabling social interaction of avatars controlled by human participants and by virtual actors; (2) a set of virtual actors with varying forms and degree of social-emotional intelligence, based on the eBICA cognitive architecture; and (3) a limited Turing test for socialemotional intelligence, involving human participants and virtual actors. The virtual environment simulator allows for various forms of emotionally-laden interaction of actors immersed in it in the form of avatars, with data collection characterizing their behavior in detail. The objective here is to compare and evaluate models of social-emotional reasoning based on the Turing test results and other objective behavioral measures, also taking into account subjective judgment of participants. One of the long-term goals is achieving human-level believability of socially-emotional virtual actors, such as non-player characters in games, personal assistants, robots, and other intelligent artifacts. Preliminary results indicate importance of social-emotional intelligence for believability, and support assumptions of the eBICA architecture.

Keywords

Cognitive modeling Virtual actor Virtual environment 

Notes

Acknowledgment

This work was supported by the RSF Grant # 15-11-30014. Authors are particularly grateful to Dr. Alexei V. Samsonovich, Professor and Scientific Head of the Institute for Cyber Intelligence Systems (ICIS) of National Research Nuclear University “Moscow Engineering Physics Institute” (MEPhI).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.National Research Nuclear University “Moscow Engineering Physics Institute”MoscowRussian Federation

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