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Understanding systems that are designed to support human cognition

MPG-Autoren
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Chuang,  LL
Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Schmidt, A., & Chuang, L. (2018). Understanding systems that are designed to support human cognition. In Workshop on Rethinking Interaction: From Instrumental Interactions to Human-Computer Partnerships at CHI' 18 (pp. 1-5).


Zitierlink: https://hdl.handle.net/21.11116/0000-0001-7D5A-F
Zusammenfassung
The prevalence of automation and user-adaptive systems has created a demand for human-machine interfaces that are designed to be aware and sensitive to the cognitive states of the user. We argue that the unitary concept of mental workload is insufficient in capturing the benefits that computing systems can deliver to their users. More specifically, we demonstrate with examples from our own research how to target more specific and robustly defined cognitive processes, with the use of non-obtrusive methods such as gaze-tracking, electroencephalography, and physiological measurements. Our examples, particularly in the evaluation of auditory notification design and in situ displays, will demonstrate that it is advantageous to target specific cognitive processes and mechanisms in accordance to the design purpose of a given interface, within the constraints of contemporary models of psychology and neuroscience.