Niklaus, Joël; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias; Urwyler, Prabitha (2021). Application of eye tracking in puzzle games for adjunct cognitive markers: pilot observational study in older adults JMIR Serious Games, 9(1), e24151. JMIR Publications 10.2196/24151
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Background: Recent studies suggest that computerized puzzle games are enjoyable, easy to play, and engage attentional, visuospatial, and executive functions. They may help mediate impairments seen in cognitive decline in addition to being an assessment tool. Eye tracking provides a quantitative and qualitative analysis of gaze, which is highly useful in understanding visual search behavior. Objective: The goal of the research was to test the feasibility of eye tracking during a puzzle game and develop adjunct markers for cognitive performance using eye-tracking metrics. Methods: A desktop version of the Match-3 puzzle game with 15 difficulty levels was developed using Unity 3D (Unity Technologies). The goal of the Match-3 puzzle was to find configurations (target patterns) that could be turned into a row of 3 identical game objects (tiles) by swapping 2 adjacent tiles. Difficulty levels were created by manipulating the puzzle board size (all combinations of width and height from 4 to 8) and the number of unique tiles on the puzzle board (from 4 to 8). Each level consisted of 4 boards (ie, target patterns to match) with one target pattern each. In this study, the desktop version was presented on a laptop computer setup with eye tracking. Healthy older subjects were recruited to play a full set of 15 puzzle levels. A paper-pencil–based assessment battery was administered prior to the Match-3 game. The gaze behavior of all participants was recorded during the game. Correlation analyses were performed on eye-tracking data correcting for age to examine if gaze behavior pertains to target patterns and distractor patterns and changes with puzzle board …
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
Business School > Institute for Public Sector Transformation Business School > Institute for Public Sector Transformation > Data and Infrastructure Business School |
Name: |
Niklaus, Joël 0000-0002-2779-1653; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias and Urwyler, Prabitha |
ISSN: |
2291-9279 |
Publisher: |
JMIR Publications |
Language: |
English |
Submitter: |
Joël Niklaus |
Date Deposited: |
03 Aug 2023 09:46 |
Last Modified: |
08 Aug 2023 14:51 |
Publisher DOI: |
10.2196/24151 |
ARBOR DOI: |
10.24451/arbor.19686 |
URI: |
https://arbor.bfh.ch/id/eprint/19686 |
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