From Real-time Attention Assessment to “With-me-ness” in Human-Robot Interaction
- Submitting institution
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University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 913349
- Type
- E - Conference contribution
- DOI
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10.1109/HRI.2016.7451747
- Title of conference / published proceedings
- Proceedings of the 2016 ACM/IEEE Human-Robot Interaction Conference
- First page
- 157
- Volume
- -
- Issue
- -
- ISSN
- 2167-2148
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1109/HRI.2016.7451747
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper received the Best 'Theory and Methods' Paper Award at HRI '16 (the Eleventh ACM/IEEE International Conference on Human Robot Interaction) for evidencing a rigorous approach to using gaze tracking for measuring, in real-time, user engagement with robots. It is also an example of cross-disciplinary fertilisation, with key concepts borrowed for learning sciences, and applied to social robotics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
