Robust Multimodal Cognitive Load Measurement: The State-of-The-Art
Chen, Fang; Zhou, Jianlong; Wang, Yang; Yu, Kun; Arshad, Syed Z.; Khawaji, Ahmad; Conway, Dan
2016-06-15 00:00:00
[Chapter 2 provides an overview of the latest developments in this body of work. Firstly, different approaches to the problem of measuring cognitive load are identified. The related work of each measurement approach is then discussed in more detail. These approaches include subjective (self-report) measures, physiological measures, performance measures, and behavioural measures. The related work on measuring different types of cognitive load (intrinsic load, extraneous load, and germane load) is also reviewed. This review also discussed how cognitive load may display variation according to factors such as gender, age, and information representational differences (e.g. static graphics versus animated graphics).]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/robust-multimodal-cognitive-load-measurement-the-state-of-the-art-cOe6rNM3kQ
[Chapter 2 provides an overview of the latest developments in this body of work. Firstly, different approaches to the problem of measuring cognitive load are identified. The related work of each measurement approach is then discussed in more detail. These approaches include subjective (self-report) measures, physiological measures, performance measures, and behavioural measures. The related work on measuring different types of cognitive load (intrinsic load, extraneous load, and germane load) is also reviewed. This review also discussed how cognitive load may display variation according to factors such as gender, age, and information representational differences (e.g. static graphics versus animated graphics).]
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