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The Ripple Effects of Vulnerability: The Effects of a Robot's Vulnerable Behavior on Trust in Human-Robot Teams

Authors:

Sarah Strohkorb Sebo,

Margaret Traeger,

Brian ScassellatiAuthors Info & Claims

HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

Pages 178 - 186

https://doi.org/10.1145/3171221.3171275

Published: 26 February 2018 Publication History

Abstract

Successful teams are characterized by high levels of trust between team members, allowing the team to learn from mistakes, take risks, and entertain diverse ideas. We investigated a robot's potential to shape trust within a team through the robot's expressions of vulnerability. We conducted a between-subjects experiment (N = 35 teams, 105 participants) comparing the behavior of three human teammates collaborating with either a social robot making vulnerable statements or with a social robot making neutral statements. We found that, in a group with a robot making vulnerable statements, participants responded more to the robot's comments and directed more of their gaze to the robot, displaying a higher level of engagement with the robot. Additionally, we discovered that during times of tension, human teammates in a group with a robot making vulnerable statements were more likely to explain their failure to the group, console team members who had made mistakes, and laugh together, all actions that reduce the amount of tension experienced by the team. These results suggest that a robot's vulnerable behavior can have "ripple effects" on their human team members' expressions of trust-related behavior.

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Index Terms

The Ripple Effects of Vulnerability: The Effects of a Robot's Vulnerable Behavior on Trust in Human-Robot Teams
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
    2. Interaction paradigms
      1. Collaborative interaction

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cover image ACM Conferences

HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

February 2018

468 pages

ISBN:9781450349536

DOI:10.1145/3171221

General Chairs:
Takayuki Kanda
ATR, Japan
,
Selma Ŝabanović
Indiana University Bloomington, USA
,
Program Chairs:
Guy Hoffman
Cornell University, USA
,
Adriana Tapus
ENSTA-ParisTech, France

Copyright © 2018 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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SIGAI: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
IEEE-RAS: Robotics and Automation

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Association for Computing Machinery

New York, NY, United States

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Published: 26 February 2018

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HRI '18

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HRI '18: ACM/IEEE International Conference on Human-Robot Interaction

March 5 - 8, 2018

IL, Chicago, USA

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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

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https://dl.acm.org/doi/10.1145/3711938
Chen CLiao MSundar S(2024)When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systemsProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686066(1-17)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3686038.3686066
Mckenna PAhmad MMaisva TNesset BLohan KHastie H(2024)A Meta-Analysis of Vulnerability and Trust in Human–Robot InteractionACM Transactions on Human-Robot Interaction10.1145/365889713:3(1-25)Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1145/3658897
Khavas ZKotturu MAhmadzadeh SRobinette P(2024)Do Humans Trust Robots that Violate moral trust?ACM Transactions on Human-Robot Interaction10.1145/3651992Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3651992
Ren YClement J(2024)Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the LiteratureACM Transactions on Human-Robot Interaction10.1145/364988413:2(1-34)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3649884
Gillet SVázquez MAndrist SLeite ISebo S(2024)Interaction-Shaping Robotics: Robots that Influence Interactions between Other AgentsACM Transactions on Human-Robot Interaction10.1145/3643803Online publication date: 2-Feb-2024
https://dl.acm.org/doi/10.1145/3643803
Erel HVázquez MSebo SSalomons NGillet SScassellati B(2024)RoSI: A Model for Predicting Robot Social InfluenceACM Transactions on Human-Robot Interaction10.1145/364151513:2(1-22)Online publication date: 14-Jun-2024
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Jamshad RHaripriyan ASonti ASimkins SRiek LGrollman DBroadbent EJu WSoh HWilliams T(2024)Taking Initiative in Human-Robot Action Teams: How Proactive Robot Behaviors Affect TeamworkCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640640(559-562)Online publication date: 11-Mar-2024
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Chang XLi YLiu SMa LLc RGrollman DBroadbent EJu WSoh HWilliams T(2024)"Sorry to Keep You Waiting": Recovering from Negative Consequences Resulting from Service Robot Unintended RejectionProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634959(96-105)Online publication date: 11-Mar-2024
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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
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