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Abstract
We propose a method of human-robot trust assessment in close-proximity human-robot collaboration involving body tracking for recognition of physical signs of apprehension. We tested this by performing skeleton tracking on 30 participant while they repeated a shared task with a Sawyer robot while reporting trust between tasks. We tested different robot velocity and environment conditions with an unannounced increase in velocity midway through to provoke a dip trust. Initial analysis show significant effect for the test conditions on participant movements and reported trust as well as linear correlations between tracked signs of apprehension and reported trust.
Original language | English |
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Title of host publication | 28th IEEE International Conference on Robot and Human Interactive Communication (ROMAN) |
Publisher | IEEE Computer Society Press |
Publication date | 2019 |
Article number | 8956335 |
ISBN (Electronic) | 978-1-7281-2622-7 |
DOIs | |
Publication status | Published - 2019 |
Event | The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): Ro-man2019 - New Delhi, India Duration: 14 Oct 2019 → 18 Nov 2019 https://ro-man2019.org/ |
Conference
Conference | The 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) |
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Country/Territory | India |
City | New Delhi |
Period | 14/10/2019 → 18/11/2019 |
Internet address |
Series | IEEE RO-MAN proceedings |
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ISSN | 1944-9445 |
Keywords
- Human Robot Interaction
- Human Robot Collaboration
- human robot trust
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Dive into the research topics of 'Proposing Human-Robot Trust Assessment Through Tracking Physical Apprehension Signals in Close-Proximity Human-Robot Collaboration'. Together they form a unique fingerprint.Projects
- 1 Active
Research output
- 16 Citations
- 1 PhD thesis
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Human-Robot Trust Assessment From Physical Apprehension Signals
Hald, K., 2021, Aalborg Universitetsforlag. 173 p.Research output: PhD thesis
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