Sympathetic Activation in Deadlines of Deskbound Research - A Study in the Wild

Hasan, MD Tanim; Zaman, Shaila; Wesley, Amanveer; Tsiamyrtzis, Panagiotis; Pavlidis, Ioannis

doi:10.1145/3544549.3585585

Cited by 2 publications

References 43 publications

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Unobtrusive measurement of cognitive load and physiological signals in uncontrolled environments

Anders,

Moontaha,

Real

et al. 2024

Sci Data

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While individuals fail to assess their mental health subjectively in their day-to-day activities, the recent development of consumer-grade wearable devices has enormous potential to monitor daily workload objectively by acquiring physiological signals. Therefore, this work collected consumer-grade physiological signals from twenty-four participants, following a four-hour cognitive load elicitation paradigm with self-chosen tasks in uncontrolled environments and a four-hour mental workload elicitation paradigm in a controlled environment. The recorded dataset of approximately 315 hours consists of electroencephalography, acceleration, electrodermal activity, and photoplethysmogram data balanced across low and high load levels. Participants performed office-like tasks in the controlled environment (mental arithmetic, Stroop, N-Back, and Sudoku) with two defined difficulty levels and in the uncontrolled environments (mainly researching, programming, and writing emails). Each task label was provided by participants using two 5-point Likert scales of mental workload and stress and the pairwise NASA-TLX questionnaire. This data is suitable for developing real-time mental health assessment methods, conducting research on signal processing techniques for challenging environments, and developing personal cognitive load assistants.

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