Trust Development and Repair in Human-Robot Teams

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

doi:10.1145/3029798.3038409

Trust Development and Repair in Human-Robot Teams

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

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

9 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 language	English
Title of host publication	HRI'17
Subtitle of host publication	Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
Place of Publication	New York, NY
Publisher	ACM
Pages	103-104
Number of pages	2
ISBN (Print)	978-1-4503-4885-0
DOIs	https://doi.org/10.1145/3029798.3038409
Publication status	Published - Mar 2017
Event	HRI 2017: The 2017 Conference on Human-Robot Interaction - Aula der Wissenschaft – Hall of Science, Vienna, Austria Duration: 6 Mar 2017 → 9 Mar 2017 Conference number: 12 http://humanrobotinteraction.org/2017/

Conference

Conference	HRI 2017
Country/Territory	Austria
City	Vienna
Period	6/03/17 → 9/03/17
Internet address	http://humanrobotinteraction.org/2017/

Keywords

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

Access to Document

10.1145/3029798.3038409

Cite this

@inproceedings{b0cd75b8a62144e3ba8c6b9253f753e6,

title = "Trust Development and Repair in Human-Robot Teams",

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.",

keywords = "Trust in autonomy, trust repair, long-term human-robot relationships , mixed-initiative teaming",

author = "{de Visser}, {Ewart Jan} and Richard Pak and Neerincx, {Mark A.}",

year = "2017",

month = mar,

doi = "10.1145/3029798.3038409",

language = "English",

isbn = "978-1-4503-4885-0",

pages = "103--104",

booktitle = "HRI'17",

publisher = "ACM",

address = "United States",

note = "HRI 2017 : The 2017 Conference on Human-Robot Interaction ; Conference date: 06-03-2017 Through 09-03-2017",

url = "http://humanrobotinteraction.org/2017/",

}

Trust Development and Repair in Human-Robot Teams. / de Visser, Ewart Jan; Pak, Richard; Neerincx, Mark A.
HRI'17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: ACM, 2017. p. 103-104.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Trust Development and Repair in Human-Robot Teams

AU - de Visser, Ewart Jan

AU - Pak, Richard

AU - Neerincx, Mark A.

N1 - Conference code: 12

PY - 2017/3

Y1 - 2017/3

N2 - 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.

AB - 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.

KW - Trust in autonomy

KW - trust repair

KW - long-term human-robot relationships

KW - mixed-initiative teaming

U2 - 10.1145/3029798.3038409

DO - 10.1145/3029798.3038409

M3 - Conference contribution

SN - 978-1-4503-4885-0

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EP - 104

BT - HRI'17

PB - ACM

CY - New York, NY

T2 - HRI 2017

Y2 - 6 March 2017 through 9 March 2017

ER -

Trust Development and Repair in Human-Robot Teams

Abstract

Conference

Keywords

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