Assessing Visual Attention Using Eye Tracking Sensors in Intelligent Cognitive Therapies Based on Serious Games
- Submitting institution
-
Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D0022
- Type
- D - Journal article
- DOI
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10.3390/s150511092
- Title of journal
- Sensors
- Article number
- -
- First page
- 11092
- Volume
- 15
- Issue
- 5
- ISSN
- 1424-8220
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
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https://www.mdpi.com/1424-8220/15/5/11092
- 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
-
-
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This study examines the use of eye tracking sensors combined with interaction patterns to identify children’s behaviour in attention-enhancement therapies. It has been cited 42 times. Results and findings from this study have been used to justify further research as “when engaging in overt attention, the gaze point—which we can easily measure with eye-tracking—is a reasonable estimate of the locus of attention” (DOI: 10.1145/3351227). Results have been used to justify research in other fields such as Virtual Reality (VR) (DOI: 10.1145/2838944.2838977, DOI: 10.15309/16psd170104).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -