extended-abstract

Can't Do or Won't Do?: Social Attributions in Human--Agent Cooperation (Extended Abstract)

Authors:

Philipp Kulms,

Nikita Mattar,

Stefan KoppAuthors Info & Claims

AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems

Pages 1341 - 1342

Published: 09 May 2016 Publication History

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Abstract

We highlight how human--agent cooperation is linked to the attribution of critical qualities like trustworthiness and competence to the cooperation partner. To investigate these aspects in a systematic fashion, we devise a novel paradigm of an interactive cooperation game that goes beyond commonly adopted economic scenarios. Our results indicate how a less skillful agent that shows little appreciation for its human partner's suggestions regarding the next action is ascribed negative trustworthiness, but also positive competence. This suggests that perceived competence and cooperativeness interact with each other in important ways that can be studied jointly in an interactive cooperation game scenario.

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Cited By

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Zhao YMa XElkind EVeloso MAgmon NTaylor M(2019)Learning Efficient Communication in Cooperative Multi-Agent EnvironmentProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3332098(2321-2323)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3332098
Stoll BReig SHe LKaplan IJung MFussell SKanda TŜabanović SHoffman GTapus A(2018)Wait, Can You Move the Robot?Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171243(14-22)Online publication date: 26-Feb-2018
https://dl.acm.org/doi/10.1145/3171221.3171243

Index Terms

Can't Do or Won't Do?: Social Attributions in Human--Agent Cooperation (Extended Abstract)
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Information

Published In

AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems

May 2016

1580 pages

ISBN:9781450342391

General Chairs:
Catholijn M. Jonker
TU Delft, Netherlands
,
Stacy Marsella
University of Southern California, USA
,
Program Chairs:
John Thangarajah
RMIT University. Australia
,
Karl Tuyls
University of Liverpool, UK

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 09 May 2016

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Extended-abstract

Conference

AAMAS '16

Sponsor:

AAMAS '16: International Conference on Agents and Multiagent Systems

May 9 - 13, 2016

Singapore, Singapore

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AAMAS '16 Paper Acceptance Rate 137 of 550 submissions, 25%;

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

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Zhao YMa XElkind EVeloso MAgmon NTaylor M(2019)Learning Efficient Communication in Cooperative Multi-Agent EnvironmentProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3332098(2321-2323)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3332098
Stoll BReig SHe LKaplan IJung MFussell SKanda TŜabanović SHoffman GTapus A(2018)Wait, Can You Move the Robot?Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171243(14-22)Online publication date: 26-Feb-2018
https://dl.acm.org/doi/10.1145/3171221.3171243

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More Human-Likeness, More Trust?: The Effect of Anthropomorphism on Self-Reported and Behavioral Trust in Continued and Interdependent Human-Agent Cooperation

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