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ISIAA 2017: 1st international workshop on investigating social interactions with artificial agents (workshop summary)

Published:03 November 2017Publication History

ABSTRACT

The workshop “Investigating Social Interactions With Artificial Agents” organized within the “International Conference on Multimodal Interactions 2017” attempts to bring together researchers from different fields sharing a similar interest in human interactions with other agents. If interdisciplinarity is necessary to address the question of the “Turing Test”, namely “can an artificial conversational artificial agent be perceived as human”, it is also a very promising new way to investigate social interactions in the first place. Biology is represented by social cognitive neuroscience, aiming to describe the physiology of human social behaviors. Linguistics, from humanities, attempts to characterize a specifically human behavior and language. Social Signal Processing is a recent approach to analyze automatically, using advanced Information Technologies, the behaviors pertaining to natural human interactions. Finally, from Artificial Intelligence, the development of artificial agents, conversational and/or embodied, onscreen or physically attempts to recreate non-human socially interactive agents for a multitude of applications.

References

  1. A. Wykowska, T. Chaminade & G. Cheng, (2016) "Embodied artificial agents for understanding human social cognition," Phil. Trans. R. Soc. B, 371.Google ScholarGoogle ScholarCross RefCross Ref
  2. G. Aranyi, F. Pecune, F. Charles, C. Pelachaud & M. Cavazza, (2016) "Affective interaction with a virtual character through an fNIRS brain-computer interface," Frontiers in computational neuroscience, 10.Google ScholarGoogle Scholar
  3. A. Vinciarelli, M. Pantic & H. Bourlard, (2009) "Social signal processing: Survey of an emerging domain," Image and vision computing, 27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. P. Blache, "Dialogue management in task-oriented dialogue systems," in these proceedings.Google ScholarGoogle Scholar
  5. C. Pelachaud, "Greta: a conversing socio-emotional agent," in these proceedings.Google ScholarGoogle Scholar
  6. L. Pragst, J. Miehle, W. Minker & S. Ultes, "Challenges for Adaptive Dialogue Management in the KRISTINA Project," in these proceedings.Google ScholarGoogle Scholar
  7. F. Lefèvre, "En route to a better integration and evaluation of social capacities in vocal artificial agents," in these proceedings.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
        November 2017
        676 pages
        ISBN:9781450355438
        DOI:10.1145/3136755

        Copyright © 2017 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 November 2017

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        ICMI '17 Paper Acceptance Rate65of149submissions,44%Overall Acceptance Rate453of1,080submissions,42%
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