Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)

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Abstract

Trust is a factor that is becoming more prominent in human robot interaction research. Only few approaches so far tackle the challenge of data-driven trust assessment. In this paper, we present a data set consisting of motion tracking data from an industrial human robot collaboration task. The data is collected during a trust manipulation experiment that has been designed to elicit different trust levels in the participants. Additionally, participants filled out a standard trust questionnaire. The data set allows for developing and testing data-driven trust assessment algorithms.
OriginalsprogEngelsk
TitelProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24)
Antal sider5
ForlagIEEE
Publikationsdato11 mar. 2024
Sider934-938
ISBN (Elektronisk)9798400703225
DOI
StatusUdgivet - 11 mar. 2024
Begivenhed19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) -
Varighed: 11 mar. 202415 mar. 2024
https://humanrobotinteraction.org/2024/

Konference

Konference19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI)
Periode11/03/202415/03/2024
Internetadresse

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