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NASA-TLX Workload Ratings Collected with Multiple Response Types in a UAS Search-Tracking Task

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DataCite Commons2025-12-03 更新2026-05-03 收录
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https://dataverse.lib.virginia.edu/citation?persistentId=doi:10.18130/V3/97ZJNL
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This dataset contains ratings human subjects made using the NASA Task Load Index (NASA-TLX) that were collected as part of a within-subjects study where participants tracked points searched by an Unmanned Aerial System (UAS) in video simulations. Participants were 36 graduate engineering students (aged 22–30) who completed 36 simulation trials under different task conditions: simulation speed, cursor noise, viewing radius, path visibility, and the number of searched points. After each trial, participants provided workload assessments across the six NASA-TLX dimensions: mental demand, physical demand, temporal demand, performance, effort, and frustration. These were collected using three different response types for the same trial geometry: numerical entry (ask), onscreen rotary knobs, and onscreen sliders. Dependent measures include individual NASA-TLX ratings and individual performance in the tracking task. In total, 23,328 observations were collected. This dataset supports research on workload measurement, psychometrics, interface design, and human-system interaction in dynamic monitoring tasks.
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University of Virginia Dataverse
创建时间:
2025-11-26
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