Eye-Gaze and Mouse-Movements on Web Search as Indicators of Cognitive Impairment

Jacek Gwizdka (), Rachel Tessmer (), Yao-Cheng Chan (), Kavita Radhakrishnan () and Maya L. Henry ()
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Jacek Gwizdka: The University of Texas at Austin
Rachel Tessmer: The University of Texas at Austin
Yao-Cheng Chan: The University of Texas at Austin
Kavita Radhakrishnan: The University of Texas at Austin
Maya L. Henry: The University of Texas at Austin

A chapter in Information Systems and Neuroscience, 2022, pp 187-200 from Springer

Abstract: Abstract The aging population brings a drastic increase in age-related conditions that affect cognition. Early detection of cognitive changes is important but challenging. Standard paper-and-pencil neuropsychological assessments of cognition require trained personnel and are costly and time-consuming to administer. Moreover, they may not capture subtle cognitive impairments associated with aging and age-related disorders that impact activities of daily living. Eye-tracking during cognitive tasks has been demonstrated to provide sensitive metrics of cognitive changes in mild cognitive impairment (MCI) and dementia. However, the eye-tracking studies with older adults and individuals with cognitive impairment to date have utilized specialized and decontextualized cognitive tasks rather than everyday activities. We propose to examine the feasibility and utility of web page interactions, search query characteristics, eye-tracking, and mouse-movement-derived measures collected during everyday web search tasks as a metric for cognitive changes associated with healthy and pathological aging.

Keywords: Cognitive impairment; Eye-tracking; Web search (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-13064-9_20

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DOI: 10.1007/978-3-031-13064-9_20

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