Measuring the effect of think aloud protocols on workload using fNIRS
- Submitting institution
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Swansea University / Prifysgol Abertawe
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 55706
- Type
- E - Conference contribution
- DOI
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10.1145/2556288.2556974
- Title of conference / published proceedings
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- First page
- 3807
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
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- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Current measures of a person’s mental workload, especially in safety-critical settings, often relies upon observation of workers or self-reflection. fNIRS is a non-invasive brain-sensing technology in which a person wears a headband over their forehead. It is expected to offer real-time insights to a person’s workload, offering advantages over current approaches. However, its ecological validity had not yet been established. This work takes a novel step towards this through measuring and detecting differing levels of mental workload in tasks of varying complexity, and critically demonstrates fNIRS suitability for wearers who are talking.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -