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“What could possibly go wrong?” Logging HRI data for robot accident investigations

Abstract:
This abstract presents proposed experimental work to consider what might be required for an 'ethical black box', essentially a robot data recorder, to inform robot accident investigation processes and the implications for HRI.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1145/3371382.3378296
Publication website:
https://dl.acm.org/doi/proceedings/10.1145/3371382

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-6088-3955
More by this author
Institution:
University of Oxford
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0001-9960-1436
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-4303-7773
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Publisher:
Association for Computing Machinery Publisher's website
Pages:
517–519
Host title:
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publication date:
2020-03-23
Acceptance date:
2020-01-06
Event title:
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Event location:
Cambridge, UK
Event website:
http://humanrobotinteraction.org/2020/
Event start date:
2020-03-23T00:00:00Z
Event end date:
2020-03-26T00:00:00Z
DOI:
ISBN:
9781450370578
Language:
English
Keywords:
Pubs id:
1087930
Local pid:
pubs:1087930
Deposit date:
2020-02-17

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