Trust Development and Repair in Human-Robot Teams

Ewart Jan de Visser, Richard Pak, Mark A. Neerincx

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

This paper is a call to the field of human-robot interaction to focus research efforts on the development and repair of trust within human-robot teams. To guide this effort, this paper describes the initial development of a framework for trust development in human-robot interaction research with a specific focus on trust repair. This framework identifies several unique trust-dyads within an example domain of Urban Search and Rescue Operations (USAR) that are suitable relationships for study. We conclude with several areas of research that should be addressed under a trust repair framework including trust measurement, model development and validation, mutual dynamic trust calibration, and long term trust development.
Original languageEnglish
Title of host publicationHRI'17
Subtitle of host publicationProceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages103-104
Number of pages2
ISBN (Print)978-1-4503-4885-0
DOIs
Publication statusPublished - Mar 2017
EventHRI 2017: The 2017 Conference on Human-Robot Interaction - Aula der Wissenschaft – Hall of Science, Vienna, Austria
Duration: 6 Mar 20179 Mar 2017
Conference number: 12
http://humanrobotinteraction.org/2017/

Conference

ConferenceHRI 2017
CountryAustria
CityVienna
Period6/03/179/03/17
Internet address

Keywords

  • Trust in autonomy
  • trust repair
  • long-term human-robot relationships
  • mixed-initiative teaming

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