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extended-abstract

Posture Parameters for Personality-Enhanced Virtual Audiences

Authors:

Jean-Luc Lugrin,

Yann Glémarec,

Marc Erich LatoschikAuthors Info & Claims

IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents

Article No.: 46, Pages 1 - 4

https://doi.org/10.1145/3570945.3607311

Published: 22 December 2023 Publication History

Abstract

This paper presents the development and preliminary evaluation of a personality enhancer behaviour model for virtual audiences to increase their realism and individualism. We conducted a systematic literature review and identified sixteen posture parameters to modify seated animations dynamically, calling them personality enhancers. We grouped them into four main categories: body, gaze, face and gesture behaviour modifiers. We implemented a unique animation modifier system on top of a game engine to apply these personality enhancers on existing pre-recorded generic seated animations. The first results with sixty participants in an online video survey show that the model can successfully simulate individuals with low and high levels of extroversion as well as with low and high levels of emotional stability.

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Cited By

Döllinger NTopel JBotsch MWienrich CLatoschik MLugrin J(2024)Exploring Agent-User Personality Similarity and Dissimilarity for Virtual Reality Psychotherapy2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00082(424-427)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VRW62533.2024.00082

Index Terms

Posture Parameters for Personality-Enhanced Virtual Audiences
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents

September 2023

376 pages

ISBN:9781450399944

DOI:10.1145/3570945

Copyright © 2023 Owner/Author.

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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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 December 2023

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IVA '23

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SIGAI

IVA '23: ACM International Conference on Intelligent Virtual Agents

September 19 - 22, 2023

Würzburg, Germany

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Cited By

Döllinger NTopel JBotsch MWienrich CLatoschik MLugrin J(2024)Exploring Agent-User Personality Similarity and Dissimilarity for Virtual Reality Psychotherapy2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00082(424-427)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VRW62533.2024.00082

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