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Brain Neurophysiology to Objectify the Social Competence of Conversational Agents

Authors:

Laurent PrévotAuthors Info & Claims

HAI '18: Proceedings of the 6th International Conference on Human-Agent Interaction

Pages 333 - 335

https://doi.org/10.1145/3284432.3287177

Published: 04 December 2018 Publication History

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Abstract

We present an approach to objectify the social competence of artificial agents using human brain neurophysiology. Whole brain activity is recorded with functional Magnetic Resonance Imaging (fMRI) while participants discuss either with a human confederate or an artificial agent. This allows a direct comparison of local brain responses, including deep brain structures invisible to other neuroimaging techniques, as a function of the nature of the interlocutor. The present data (9 participants, artificial agent is the robotic conversational head Furhat controlled with a Wizard of Oz procedure) demonstrates the feasibility of this approach, and results confirm an increased activity in the hypothalamic region when interacting with a human compared to an artificial agent.

References

[1]

Al Moubayed, S., Beskow, J., Skantze, G., & Granström, B. (2012). Furhat: a back-projected human-like robot head for multiparty human-machine interaction. In Cognitive behavioural systems (pp. 114--130). Springer.

Digital Library

Google Scholar

[2]

Chaminade, T. (2017). An experimental approach to study the physiology of natural social interactions. Interaction Studies, 18(2).

Google Scholar

[3]

Chaminade, T., Zecca, M., Blakemore, S. J., Takanishi, A., Frith, C. D., Micera, S., Dario, P., Rizzolatti, G., Gallese, V., & Umilta, M. A. (2010). Brain response to a humanoid robot in areas implicated in the perception of human emotional gestures. PLoS One, 5(7), e11577.

Crossref

Google Scholar

[4]

Chartrand, T. L., & Bargh, J. A. (1999). The chameleon effect: The perception--behavior link and social interaction. Journal of personality and social psychology, 76(6), 893

Crossref

Google Scholar

[5]

Nomura, T., Suzuki, T., Kanda, T., & Kato, K. (2006). Measurement of negative attitudes toward robots. Interaction Studies, 7(3), 437--454

Crossref

Google Scholar

[6]

Rauchbauer, B. Nazarian, B., Bourhis, B., Ochs, M., Prévot, L. & Chaminade, T. (in revision). Neural bases of social interactions investigated with an artificial agent. Phil. Trans. R. Soc. B.

Google Scholar

[7]

Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for understanding human social cognition. Phil. Trans. R. Soc. B, 371(1693)

Crossref

Google Scholar

Cited By

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Spatola NChevalère JLazarides R(2021)Human vs computer: What effect does the source of information have on cognitive performance and achievement goal orientation?Paladyn, Journal of Behavioral Robotics10.1515/pjbr-2021-001212:1(175-186)Online publication date: 10-Feb-2021
https://doi.org/10.1515/pjbr-2021-0012
Spatola N(2019)L’interaction Homme-Robot, de l’anthropomorphisme à l’humanisationL’Année psychologique10.3917/anpsy1.194.0515Vol. 119:4(515-563)Online publication date: 9-Dec-2019
https://doi.org/10.3917/anpsy1.194.0515

Index Terms

Brain Neurophysiology to Objectify the Social Competence of Conversational Agents
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

HAI '18: Proceedings of the 6th International Conference on Human-Agent Interaction

December 2018

402 pages

ISBN:9781450359535

DOI:10.1145/3284432

General Chairs:
Michita Imai
Keio University, Japan
,
Tim Norman
University of Southampton, UK
,
Program Chairs:
Elizabeth Sklar
King's College London, UK
,
Takanori Komatsu
Meiji University, Japan

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2018

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Funding Sources

Agence Nationale de la Recherche
AMidex

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HAI '18

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SIGCHI

HAI '18: 6th International Conference on Human-Agent Interaction

December 15 - 18, 2018

Southampton, United Kingdom

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HAI '18 Paper Acceptance Rate 40 of 92 submissions, 43%;

Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

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Spatola NChevalère JLazarides R(2021)Human vs computer: What effect does the source of information have on cognitive performance and achievement goal orientation?Paladyn, Journal of Behavioral Robotics10.1515/pjbr-2021-001212:1(175-186)Online publication date: 10-Feb-2021
https://doi.org/10.1515/pjbr-2021-0012
Spatola N(2019)L’interaction Homme-Robot, de l’anthropomorphisme à l’humanisationL’Année psychologique10.3917/anpsy1.194.0515Vol. 119:4(515-563)Online publication date: 9-Dec-2019
https://doi.org/10.3917/anpsy1.194.0515

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Investigating the dimensions of conversational agents' social competence using objective neurophysiological measurements

Functional gradients through the cortex, multisensory integration and scaling laws in brain dynamics

Modeling sensory representations in brain: new methods for studying functional architecture reveal unique spatial patterns