Gledson, Ann and Asfiandy, Dommy and Mellor, Joseph and Omer Faraj Ba-Dhfari, Thamer and Stringer, Gemma and Couth, Samuel and Burns, Alistair and Leroi, Iracema and Zeng, Xiao-Jun and Keane, John and Bull, Christopher Neil and Rayson, Paul Edward and Sutcliffe, Alistair Gordon Simpson and Sawyer, Peter Harvey (2016) Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment. In: Healthcare Informatics (ICHI), 2016 IEEE International Conference on :. IEEE. ISBN 9781509061181
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Abstract
We present a desktop monitoring application that combines keyboard, mouse, desktop and application-level activities. It has been developed to discover differences in cognitive functioning amongst older computer users indicative of mild cognitive impairment (MCI). Following requirements capture from clinical domain experts, the tool collects all Microsoft Windows events deemed potentially useful for detecting early clinical indicators of dementia, with a view to further analysis to determine the most pertinent. Further requirements capture from potential end-users has resulted in a system that has little impact on users’ daily activities and ensures data security from initial recording of events through to data analysis. We describe two experiments: firstly, volunteers were asked to perform a short set of known tasks; the second (ongoing) experiment is a longitudinal study, with the software currently successfully running on participants’ computers.