Investigating mental workload across task modalities: a multimodal analysis using pupillometry.
Understanding mental workload is challenging due to its multidimensional nature and varying sensitivities of its primary measures: task performance, perceived workload, and physiological responses. This study investigates the effects of task load on performance, perceived workload, and pupil measure...
| Publicado en: | Ergonomics Vol. 68; no. 9; pp. 1458 - 1472 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187637487&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187637487 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Sep2025 vid: 68 iid: 9 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 187637487 180323071 187637487 187637487 10.1080/00140139.2024.2414203 187637487 ppf: 1458 ppct: 14 formats: tig: atl: Investigating mental workload across task modalities: a multimodal analysis using pupillometry. aug: au: Dhengre, Snehal Rothrock, Ling affil: Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, State College, USA sug: subj: Reflex, Pupillary Evaluation Pupil Physiology Mental Health Evaluation Task Performance and Analysis Evaluation Workload Measurement Human Male Female Adult Reaction Time Evaluation Memory Cognition Sensitivity and Specificity Validity Questionnaires Visual Perception Verbal Behavior Multivariate Analysis Factor Analysis Descriptive Statistics Data Analysis Software Adult: 19-44 years Male Female ab: Understanding mental workload is challenging due to its multidimensional nature and varying sensitivities of its primary measures: task performance, perceived workload, and physiological responses. This study investigates the effects of task load on performance, perceived workload, and pupil measures across different information modalities. A within-subjects experiment involving three tasks (digit span, matrix span, and dual n-back) was conducted with three task load levels. Workload measures included accuracy/sensitivity, reaction time, NASA-TLX, peak pupil diameter, and peak pupil latency. Consistent patterns of associations between task load and these workload measures were found across the three modalities. Workload measures revealed a nuanced interplay between task modality and task load. Robustness of peak pupil latency, accuracy, and NASA-TLX was highlighted across verbal and visual modalities, while peak pupil diameter showed a weaker impact with differences between modalities. The findings encourage multivariate assessment of mental workload to account for different task modalities. PRACTITIONER SUMMARY: Interacting with current human-machine interfaces requires operators to comprehend visual and verbal information. Therefore, a multivariate approach accounting for different types of information as well as different methods of workload assessment is essential for developing a more comprehensive model of mental workload. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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