Novel Virtual User Models of Mild Cognitive Impairment for Simulating Dementia

Virtual user modeling research has attempted to address critical issues of human-computer interaction (HCI) such as usability and utility through a large number of analytic, usability-oriented approaches as cognitive models in order to provide users with experiences fitting to their specific needs....

Full description

Saved in:
Bibliographic Details
Published in:Computational and mathematical methods in medicine 2015-01, Vol.2015 (2015), p.1-15
Main Authors: Tsolaki, Magda, Tsakiris, Thanos, Tzovaras, Dimitrios, Paliokas, Ioannis, Segkouli, Sofia, Karagiannidis, Charalampos
Format: Article
Language:English
Subjects:
Adult
Aged, 80 and over
Aging - psychology
Cognitive Dysfunction - diagnosis
Cognitive Dysfunction - psychology
Computer Simulation
Dementia - diagnosis
Dementia - psychology
Female
Humans
Male
Middle Aged
Models, Psychological
User-Computer Interface
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Virtual user modeling research has attempted to address critical issues of human-computer interaction (HCI) such as usability and utility through a large number of analytic, usability-oriented approaches as cognitive models in order to provide users with experiences fitting to their specific needs. However, there is demand for more specific modules embodied in cognitive architecture that will detect abnormal cognitive decline across new synthetic task environments. Also, accessibility evaluation of graphical user interfaces (GUIs) requires considerable effort for enhancing ICT products accessibility for older adults. The main aim of this study is to develop and test virtual user models (VUM) simulating mild cognitive impairment (MCI) through novel specific modules, embodied at cognitive models and defined by estimations of cognitive parameters. Well-established MCI detection tests assessed users’ cognition, elaborated their ability to perform multitasks, and monitored the performance of infotainment related tasks to provide more accurate simulation results on existing conceptual frameworks and enhanced predictive validity in interfaces’ design supported by increased tasks’ complexity to capture a more detailed profile of users’ capabilities and limitations. The final outcome is a more robust cognitive prediction model, accurately fitted to human data to be used for more reliable interfaces’ evaluation through simulation on the basis of virtual models of MCI users.
ISSN:1748-670X
1748-6718
DOI:10.1155/2015/358638