research-article

The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams

Authors:

David V. Pynadath,

Susan G. HillAuthors Info & Claims

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

Pages 997 - 1005

Published: 09 May 2016 Publication History

Abstract

Researchers have observed that people will more accurately trust an autonomous system, such as a robot, if they have a more accurate understanding of its decision-making process. Studies have shown that hand-crafted explanations can help maintain effective team performance even when the system is less than 100% reliable. However, current explanation algorithms are not sufficient for making a robot's quantitative reasoning (in terms of both uncertainty and conflicting goals) transparent to human teammates. In this work, we develop a novel mechanism for robots to automatically generate explanations of reasoning based on Partially Observable Markov Decision Problems (POMDPs). Within this mechanism, we implement alternate natural-language templates and then measure their differential impact on trust and team performance within an agent-based online test-bed that simulates a human-robot team task. The results demonstrate that the added explanation capability leads to improvement in transparency, trust, and team performance. Furthermore, by observing the different outcomes due to variations in the robot's explanation content, we gain valuable insight that can help lead to refinement of explanation algorithms to further improve human-robot interaction.

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Cited By

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Hald KWeitz KAndré ERehm M(2021)“An Error Occurred!” - Trust Repair With Virtual Robot Using Levels of Mistake ExplanationProceedings of the 9th International Conference on Human-Agent Interaction10.1145/3472307.3484170(218-226)Online publication date: 9-Nov-2021
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Index Terms

The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams

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Information

Published In

cover image ACM Other conferences

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

Sponsors

IFAAMAS

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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US Army Research Laboratory

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AAMAS '16

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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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Cited By

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https://dl.acm.org/doi/10.1145/3564240
Hald KWeitz KAndré ERehm M(2021)“An Error Occurred!” - Trust Repair With Virtual Robot Using Levels of Mistake ExplanationProceedings of the 9th International Conference on Human-Agent Interaction10.1145/3472307.3484170(218-226)Online publication date: 9-Nov-2021
https://dl.acm.org/doi/10.1145/3472307.3484170
Tian LOviatt S(2021)A Taxonomy of Social Errors in Human-Robot InteractionACM Transactions on Human-Robot Interaction10.1145/343972010:2(1-32)Online publication date: 9-Feb-2021
https://dl.acm.org/doi/10.1145/3439720
Herse SVitale JJohnston BWilliams MBethel CPaiva ABroadbent EFeil-Seifer DSzafir D(2021)Using Trust to Determine User Decision Making & Task Outcome During a Human-Agent Collaborative TaskProceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3434073.3444673(73-82)Online publication date: 8-Mar-2021
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Tabrez AAgrawal SHayes BKim JTapus ASirkin DJung MKwak S(2019)Explanation-based reward coaching to improve human performance via reinforcement learningProceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction10.5555/3378680.3378717(249-257)Online publication date: 11-Mar-2019
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Anjomshoae SNajjar ACalvaresi DFrämling KElkind EVeloso MAgmon NTaylor M(2019)Explainable Agents and RobotsProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331806(1078-1088)Online publication date: 8-May-2019
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Amir ODoshi-Velez FSarne D(2019)Summarizing agent strategiesAutonomous Agents and Multi-Agent Systems10.1007/s10458-019-09418-w33:5(628-644)Online publication date: 1-Sep-2019
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