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Analysis of personality traits for intervention scene detection in multi-user conversation

Published: 29 October 2014 Publication History

Abstract

As the advance of embodied conversational agent (ECA) technologies, there are more and more real-world deployed applications of ECA's like the guides in museums or exhibitions. However, in these applications, the agent systems are usually used by groups of visitors rather than individuals. In such multi-user situation, which is more complex sophisticated than single user one, specific features are required. There can be difference in how and when to intervene in the conversation of others due to the variety of personality. In order to realize a more implement the human-like and more helpful guide agent, this work tries to explore the relationship between personality and the willing to intervene in users' conversation as the role of a guide. In this paper, the analysis results of the intervention action and personality traits are reported.

References

[1]
Warren T Norman. Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. The Journal of Abnormal and Social Psychology, Vol. 66, No. 6, p. 574, 1963.
[2]
Laurence Claes, Walter Vandereycken, Patrick Luyten, Bart Soenens, Guido Pieters, and Hans Vertommen. Personality prototypes in eating disorders based on the big five model. Journal of Personality Disorders, Vol. 20, No. 4, pp. 401--416, 2006.

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  • (2022)UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital LibraryProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501855(1-24)Online publication date: 29-Apr-2022

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  1. Analysis of personality traits for intervention scene detection in multi-user conversation

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    cover image ACM Other conferences
    HAI '14: Proceedings of the second international conference on Human-agent interaction
    October 2014
    412 pages
    ISBN:9781450330350
    DOI:10.1145/2658861
    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: 29 October 2014

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    Author Tags

    1. human-agent interaction
    2. multi-party conversation

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    HAI '14 Paper Acceptance Rate 27 of 62 submissions, 44%;
    Overall Acceptance Rate 121 of 404 submissions, 30%

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    • (2022)UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital LibraryProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501855(1-24)Online publication date: 29-Apr-2022

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