Article

Effects of adaptive robot dialogue on information exchange and social relations

Authors:

Cristen Torrey,

Susan R. Fussell,

Sara KieslerAuthors Info & Claims

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

Pages 126 - 133

https://doi.org/10.1145/1121241.1121264

Published: 02 March 2006 Publication History

Abstract

Human-robot interaction could be improved by designing robots that engage in adaptive dialogue with users. An adaptive robot could estimate the information needs of individuals and change its dialogue to suit these needs. We test the value of adaptive robot dialogue by experimentally comparing the effects of adaptation versus no adaptation on information exchange and social relations. In Experiment 1, a robot chef adapted to novices by providing detailed explanations of cooking tools; doing so improved information exchange for novice participants but did not influence experts. Experiment 2 added incentives for speed and accuracy and replicated the results from Experiment 1 with respect to information exchange. When the robot's dialogue was adapted for expert knowledge (names of tools rather than explanations), expert participants found the robot to be more effective, more authoritative, and less patronizing. This work suggests adaptation in human-robot interaction has consequences for both task performance and social cohesion. It also suggests that people may be more sensitive to social relations with robots when under task or time pressure.

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Cited By

Reimann MKunneman FOertel CHindriks K(2024)A Survey on Dialogue Management in Human-robot InteractionACM Transactions on Human-Robot Interaction10.1145/364860513:2(1-22)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3648605
Wienrich CLatoschik MObremski D(2024)Gender Differences and Social Design in Human-AI Collaboration: Insights from Virtual Cobot Interactions Under Varying Task LoadsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650827(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650827
Hou YCheon EJung MGrollman DBroadbent EJu WSoh HWilliams T(2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634949
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Index Terms

Effects of adaptive robot dialogue on information exchange and social relations
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Conferences

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

March 2006

376 pages

ISBN:1595932941

DOI:10.1145/1121241

General Chair:
Michael A. Goodrich
Brigham Young University USA
,
Program Chairs:
Alan C. Schultz
Naval Research Laboratory, USA
,
David J. Bruemmer
Idaho National Laboratory, USA

Copyright © 2006 ACM.

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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Published: 02 March 2006

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Cited By

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https://dl.acm.org/doi/10.1145/3648605
Wienrich CLatoschik MObremski D(2024)Gender Differences and Social Design in Human-AI Collaboration: Insights from Virtual Cobot Interactions Under Varying Task LoadsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650827(1-8)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650827
Hou YCheon EJung MGrollman DBroadbent EJu WSoh HWilliams T(2024)Power in Human-Robot InteractionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634949(269-282)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634949
Nukovic LKirchhoff Jvon Stryk O(2024)Development and Evaluation of a Transparency Model for the Design of Humanoid Service Robots2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731364(1579-1586)Online publication date: 26-Aug-2024
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Hellou MGasteiger NKweon ALim JMacDonald BCangelosi AAhn H(2023)Development and Validation of a Motion Dictionary to Create Emotional Gestures for the NAO Robot2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN57019.2023.10309372(897-902)Online publication date: 28-Aug-2023
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Kontogiorgos DGustafson J(2021)Measuring Collaboration Load With Pupillary Responses - Implications for the Design of Instructions in Task-Oriented HRIFrontiers in Psychology10.3389/fpsyg.2021.62365712Online publication date: 20-Jul-2021
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Naiseh MAl-Thani DJiang NAli R(2021)Explainable recommendation: when design meets trust calibrationWorld Wide Web10.1007/s11280-021-00916-024:5(1857-1884)Online publication date: 2-Aug-2021
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