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A Review of the Use of Gaze and Pupil Metrics to Assess Mental Workload in Gamified and Simulated Sensorimotor Tasks.
Gorin, Holly; Patel, Jigna; Qiu, Qinyin; Merians, Alma; Adamovich, Sergei; Fluet, Gerard.
Affiliation
  • Gorin H; Rehabilitation and Movement Sciences Department, Rutgers School of Health Professions, Newark, NJ 07107, USA.
  • Patel J; Rehabilitation and Movement Sciences Department, Rutgers School of Health Professions, Newark, NJ 07107, USA.
  • Qiu Q; Rehabilitation and Movement Sciences Department, Rutgers School of Health Professions, Newark, NJ 07107, USA.
  • Merians A; Rehabilitation and Movement Sciences Department, Rutgers School of Health Professions, Newark, NJ 07107, USA.
  • Adamovich S; Rehabilitation and Movement Sciences Department, Rutgers School of Health Professions, Newark, NJ 07107, USA.
  • Fluet G; Biomedical Engineering Department, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Sensors (Basel) ; 24(6)2024 Mar 08.
Article in En | MEDLINE | ID: mdl-38544022
ABSTRACT
Gaze and pupil metrics are used to represent higher cognitive processes in a variety of contexts. One growing area of research is the real-time assessment of workload and corresponding effort in gamified or simulated cognitive and motor tasks, which will be reviewed in this paper. While some measurements are consistent across studies, others vary and are likely dependent on the nature of the effort required by the task and the resulting changes in arousal. Pupil diameter is shown to consistently increase with task effort and arousal; however, the valence of arousal must be considered. In many cases, measures of pupil diameter were sensitive to both excessive and insufficient challenge. Overall, it is evident that gaze and pupil metrics are valuable to assess the cognitive state during gamified and simulated tasks, and further research is indicated regarding their use in clinical populations in rehabilitation to inform optimally engaging interventions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pupil / Workload Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pupil / Workload Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Country of publication: