Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment

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.

Publication DOI: https://doi.org/10.1109/ICHI.2016.22
Divisions: College of Engineering & Physical Sciences
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: dementia,mouse dynamics,keystroke dynamics,data mining,medical informatics
ISBN: 9781509061181
Last Modified: 11 Jan 2024 08:23
Date Deposited: 16 Mar 2018 11:55
PURE Output Type: Chapter
Published Date: 2016-10-04
Authors: Gledson, Ann
Asfiandy, Dommy
Mellor, Joseph
Omer Faraj Ba-Dhfari, Thamer
Stringer, Gemma
Couth, Samuel
Burns, Alistair
Leroi, Iracema
Zeng, Xiao-Jun
Keane, John
Bull, Christopher Neil
Rayson, Paul Edward
Sutcliffe, Alistair Gordon Simpson
Sawyer, Peter Harvey (ORCID Profile 0000-0001-8044-2738)

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