Sensitivity of Trust Scales in the Face of Errors

Birthe Nesset, Gnanathusharan Rajendran, Jose David Águas Lopes, Helen Hastie

Research output: Contribution to conferenceOtherpeer-review

Abstract

Trust between humans and robots is a complex, multifaceted phenomenon and measuring it subjectively and reliably is challenging. It is also context dependent and so choosing the right tool for a specific study can prove difficult. This paper aims to evaluate various trust measures and compare them in terms of sensitivity to changes in trust. This is done by comparing two validated trust questionnaires (TAS and MDMT) and one single item assessment in a COVID-19 triage scenario. We find that trust measures are equivalent in terms of sensitivity to changes in trust. Furthermore, the study shows that trust could be measured similarly through a single item assessment in comparison with other lengthier scales, in scenarios with distinct breaks in trust. This finding would be of use for experiments where lengthy questionnaires are not appropriate, such as those in the wild.
Original languageEnglish
Publication statusAccepted/In press - 14 Jan 2022
EventACM/IEEE International Conference on Human-Robot Interaction 2022 - Online, Sapporo, Japan
Duration: 7 Mar 202210 Mar 2022
https://humanrobotinteraction.org/2022/

Conference

ConferenceACM/IEEE International Conference on Human-Robot Interaction 2022
Abbreviated titleHRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2210/03/22
Internet address

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