Conference item
“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:
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(Accepted manuscript, 14.4MB)
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- Publisher copy:
- 10.1145/3371382.3378296
- Publication website:
- https://dl.acm.org/doi/proceedings/10.1145/3371382
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Authors
Bibliographic Details
- 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
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1087930
- Local pid:
- pubs:1087930
- Deposit date:
- 2020-02-17
Terms of use
- Copyright date:
- 2020
- Notes:
- This conference paper was presented at the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, March 23–26, 2020, Cambridge, UK. This is the accepted manuscript version of the article. The final version is available online from the Association for Computing Machinery at: https://doi.org/10.1145/3371382.3378296
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