Robust Multimodal Cognitive Load Measurement: Theoretical Aspects of Multimodal Cognitive Load...
Chen, Fang; Zhou, Jianlong; Wang, Yang; Yu, Kun; Arshad, Syed Z.; Khawaji, Ahmad; Conway, Dan
2016-06-15 00:00:00
[In Chap. 3, the theoretical aspects that result in the framework for Multimodal Cognitive Load Measures (MCLM) are discussed. This chapter brings together the critical elements of mental effort and performance studies from the domain of human factors and ergonomics. These elements are then linked to the extensive investigations of cognitive load measures in the context of CLT. Finally, multimodality and Load-Effort Homeostasis (LEH) models are presented as contributing to robustness within a real-time framework of MCLM.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/robust-multimodal-cognitive-load-measurement-theoretical-aspects-of-Bh0gvEXGQt
[In Chap. 3, the theoretical aspects that result in the framework for Multimodal Cognitive Load Measures (MCLM) are discussed. This chapter brings together the critical elements of mental effort and performance studies from the domain of human factors and ergonomics. These elements are then linked to the extensive investigations of cognitive load measures in the context of CLT. Finally, multimodality and Load-Effort Homeostasis (LEH) models are presented as contributing to robustness within a real-time framework of MCLM.]
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