Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?
- Submitting institution
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The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2168
- Type
- E - Conference contribution
- DOI
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10.1145/2858036.2858511
- Title of conference / published proceedings
- ACM Proceedings of Conference on Human Factors in Computing Systems (CHI)
- First page
- 3975
- Volume
- 2016-January
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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https://doi.org/10.1145/2858036.2858511
- 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)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper provides a viable, validated method to measure frustration - a construct that is commonly used to designate an emotional response to usability problems, but has rarely been gauged objectively. It integrates data of galvanic skin response, heart rate and self-assessment manikin scale to derive a unique frustration metric with the robust methodological framework we developed. These results have stimulated more research such as Matthews et al. (IJHCS 2020), who adapted our approach to evaluate frustration in usability. Our work enriches the body of applied knowledge of fusing objective and subjective data to inform a coherent analysis of emotions.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -