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Abstract:
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.
