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Dynamic movement and positioning of embodied agents in multiparty conversations

Authors:

Dusan Jan,

David R. TraumAuthors Info & Claims

AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

Article No.: 14, Pages 1 - 3

https://doi.org/10.1145/1329125.1329142

Published: 14 May 2007 Publication History

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Abstract

For embodied agents to engage in realistic multiparty conversation, they must stand in appropriate places with respect to other agents and the environment. When these factors change, such as an agent joining the conversation, the agents must dynamically move to a new location and/or orientation to accommodate. This paper presents an algorithm for simulating movement of agents based on observed human behavior using techniques developed for pedestrian movement in crowd simulations. We extend a previous group conversation simulation to include an agent motion algorithm. We examine several test cases and show how the simulation generates results that mirror real-life conversation settings.

References

[1]

J. N. Bailenson, J. Blascovich, A. C. Beall, and J. M. Loomis. Interpersonal distance in immersive virtual environments. Personality and Social Psychology Bulletin, 29:819--833, 2003.

Crossref

Google Scholar

[2]

J. Cassell, J. Sullivan, S. Prevost, and E. Churchill, editors. Embodied Conversational Agents. MIT Press, Cambridge, MA, 2000.

Google Scholar

[3]

D. Helbing and P. Molnár. Social force model for pedestrian dynamics. Phys. Rev. E, 51(5):4282--4286, May 1995.

Crossref

Google Scholar

[4]

D. Jan and D. R. Traum. Dialog simulation for background characters. Lecture Notes in Computer Science, pages 65--74, 2005.

Digital Library

Google Scholar

[5]

A. Kendon. Spatial Organization in Social Encounters: the F-formation System, pages 209--237. Cambridge University Press, 1990.

Google Scholar

[6]

E. Padilha and J. Carletta. A simulation of small group discussion. Proceedings of EDILOG 2002: Sixth Workshop on the Semantics and Pragmatics of Dialogue, pages 117--124, 2002.

Google Scholar

[7]

M. Rehm, E. Andre, and M. Nischt. Let's come together - social navigation behaviors of virtual and real humans. In M. M. et al., editor, INTETAIN 2005, LNAI, pages 122--131. Springer, 2005.

Digital Library

Google Scholar

[8]

A. E. Scheflen. Micro-territories in human interaction. In A. Kendon, R. M. Harris, and M. R. Key, editors, World Anthropology: Organization of Behavior in Face-to-Face Interaction, pages 159--173. Mouton, Paris, 1975.

Crossref

Google Scholar

[9]

W. Shao and D. Terzopoulos. Autonomous pedestrians. In SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, pages 19--28, New York, NY, USA, 2005. ACM Press.

Digital Library

Google Scholar

[10]

H. H. Vilhjalmsson and J. Cassell. Bodychat: autonomous communicative behaviors in avatars. In AGENTS '98: Proceedings of the second international conference on Autonomous agents, pages 269--276, New York, NY, USA, 1998. ACM Press.

Digital Library

Google Scholar

Cited By

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Wang PMiller MQueiroz ABailenson J(2024)Socially Late, Virtually Present: The Effects of Transforming Asynchronous Social Interactions in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642244(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642244
McQuillin EChuramani NGunes HSakamoto DWeiss AHiatt LShiomi M(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User FeedbackProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523831(541-550)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.5555/3523760.3523831
Traum D(2022)Socially Interactive Agent DialogueThe Handbook on Socially Interactive Agents10.1145/3563659.3563663(45-76)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3563659.3563663
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Index Terms

Dynamic movement and positioning of embodied agents in multiparty conversations
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
  2. Modeling and simulation

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Published In

AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

May 2007

1585 pages

ISBN:9788190426275

DOI:10.1145/1329125

Conference Chairs:
Edmund Durfee
University of Michigan
,
Makoto Yokoo
Kyushu University
,
Program Chairs:
Michael Huhns
University of South Carolina
,
Onn Shehory
IBM Haifa Research Lab, Israel

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2007

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AAMAS07

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AAMAS07: International Conference on Autonomous Agents and Mulitagent Systems

May 14 - 18, 2007

Hawaii, Honolulu

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Wang PMiller MQueiroz ABailenson J(2024)Socially Late, Virtually Present: The Effects of Transforming Asynchronous Social Interactions in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642244(1-19)Online publication date: 11-May-2024
McQuillin EChuramani NGunes HSakamoto DWeiss AHiatt LShiomi M(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User FeedbackProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523831(541-550)Online publication date: 7-Mar-2022
Traum D(2022)Socially Interactive Agent DialogueThe Handbook on Socially Interactive Agents10.1145/3563659.3563663(45-76)Online publication date: 27-Oct-2022
Vilhjálmsson H(2022)Interaction in Social SpaceThe Handbook on Socially Interactive Agents10.1145/3563659.3563662(3-44)Online publication date: 27-Oct-2022
McQuillin EChuramani NGunes H(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User Feedback2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889395(541-550)Online publication date: 7-Mar-2022
(2022)The Handbook on Socially Interactive AgentsundefinedOnline publication date: 27-Oct-2022
Pollmann KZiegler D(2021)A Pattern Approach to Comprehensible and Pleasant Human–Robot InteractionMultimodal Technologies and Interaction10.3390/mti50900495:9(49)Online publication date: 27-Aug-2021
Bönsch ABluhm AEhret JKuhlen T(2020)Inferring a User's Intent on Joining or Passing by Social GroupsProceedings of the 20th ACM International Conference on Intelligent Virtual Agents10.1145/3383652.3423862(1-8)Online publication date: 20-Oct-2020
Boonsch AKuhlen T(2020)Joint Dual-Tasking in VR: Outlining the Behavioral Design of Interactive Human Companions WhoWalk and Talk with a User2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW50115.2020.00035(167-168)Online publication date: Mar-2020
Kirchner NAlempijevic A(2013)A robot centric perspective on the HRI paradigmJournal of Human-Robot Interaction10.5898/JHRI.1.2.Kirchner1:2(135-157)Online publication date: 28-Jan-2013
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