Projekter pr. år
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.
Originalsprog | Engelsk |
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Titel | Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24) |
Antal sider | 5 |
Forlag | IEEE (Institute of Electrical and Electronics Engineers) |
Publikationsdato | 11 mar. 2024 |
Sider | 934-938 |
ISBN (Elektronisk) | 9798400703225 |
DOI | |
Status | Udgivet - 11 mar. 2024 |
Begivenhed | 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) - Varighed: 11 mar. 2024 → 15 mar. 2024 https://humanrobotinteraction.org/2024/ |
Konference
Konference | 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) |
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Periode | 11/03/2024 → 15/03/2024 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)'. Sammen danner de et unikt fingeraftryk.Projekter
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01/01/2021 → 31/12/2024
Projekter: Projekt › Forskning
Forskningsdatasæt
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Benchmark movement data set for trust assessment in human robot collaboration
Rehm, M. (Ophavsperson), Hald, K. (Ophavsperson) & Pontikis, I. (Ophavsperson), Zenodo, 2 okt. 2023
DOI: 10.5281/zenodo.8224067, https://doi.org/10.5281/zenodo.8224067
Datasæt