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• W2776156899 abstract "One of the great challenges facing the general area of task load and stress, in an era where machine learning is having a great impact, is how to automate the measurement of task load and stress in a manner that is accurate and meaningful for computing applications. In human-computer interaction (HCI), very often notions of task load and stress are explicitly or implicitly linked with notions of task performance, and in many applications, the latter is a key motivation for investigating the former. The Subjective Workload Assessment Technique (SWAT) and Task Load Index (TLX), both commonly used scales, are multidimensional, and through their various dimensions reflect at least some of the diversity of different types of load that may occur during a task. Arguably the most commonly investigated form of task load is mental load, which is an artefact of the limited processing capacity of the human brain." @default.
• W2776156899 created "2018-01-05" @default.
• W2776156899 creator A5019161835 @default.
• W2776156899 date "2017-12-28" @default.
• W2776156899 modified "2023-10-14" @default.
• W2776156899 title "Task Load and Stress" @default.
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• W2776156899 doi "https://doi.org/10.1002/9781118976005.ch11" @default.
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