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 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.
Authors
- Snehal Dhengre (ORCID: https://orcid.org/0000-0002-5483-9544)
- Ling Rothrock (ORCID: https://orcid.org/0000-0001-7614-5132)
Institutions
- Pennsylvania State University (US)
Publication Details
- Journal
- Ergonomics
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1080/00140139.2024.2414203
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.64