ATHENA - A Zero-Intrusion No Contact Method for Workload Detection Using Linguistics, Keyboard Dynamics, and Computer Vision.
Communications in Computer and Information Science(2016)
摘要
We describe preliminary evaluation data for ATHENA (Appraisal of Task Health and Effort through Non-intrusive Assessments), a completely no contact, zero-intrusion workload measurement method which harnesses multi-modal metrics (e.g. linguistic markers, keyboard dynamics and computer vision). Preliminary results reflect the existence of different types of workload, with our zero-intrusion metrics demonstrating respectable classification accuracies when the variable causing workload (e.g. time) is matched with the type of workload assessed (e.g. temporal). By not requiring extra equipment or interrupting workflow, ATHENA represents a valuable step forward in providing automated workload support tools as well as a tool for understanding the workload concept.
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关键词
Human factors,Zero-Intrusion workload measure,Linguistic analysis,Cognitive workload,Machine learning,Keyboard dynamics
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