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A pilot study on the evaluation of cognitive abilities’ cluster through game-based intelligent technique

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posted on 2023-04-28, 13:09 authored by Faizan Ahmad, Zeeshan Ahmed, Momina Shaheen, Sara Muneeb, Rubata Riasat

 Numerous scientific studies measured cognitive abilities through administered tests. Most of these traditional tests are inappropriate for several reasons, such as cost-ineffectiveness, tiresomeness, and invasiveness. The need is to build cost-effective, exciting, and plausibly engaging techniques that could noninvasively measure cognitive abilities. This paper presents LAS, an intelligent technique that utilizes non-invasively collected game analytics to automatically evaluate the cluster of three cognitive abilities (i.e., Visual Long-term Memory (VLTM), Analytical Capability (AC), and Visual Short-term Memory in Change Detection Paradigm (VSTMiCDP)). The experimental group-based cross-generational cognitive evaluation in the game-based scenario established the potential of the proposed technique is twofold: 1) It successfully categorizes cluster of three targeted cognitive abilities within the 5-point evaluation sphere (i.e., 0–1 = very bad, 1–2 = bad, 2–3 = fair, 3–4 = good, 4–5 = excellent), and 2) It highly correlates with the results of a control group that are measured with three traditional cognitive tests. 

History

Published in

Multimedia Tools and Applications

Publisher

Springer

Version

  • VoR (Version of Record)

Citation

Ahmad, F., Ahmed, Z., Shaheen, M., Muneeb, S., & Riasat, R. (2023) 'A pilot study on the evaluation of cognitive abilities’ cluster through game-based intelligent technique', Multimedia Tools and Applications, 1-19. doi: 10.1007/s11042-023-15100-x

Print ISSN

1380-7501

Electronic ISSN

1573-7721

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Faizan Ahmad

Copyright Holder

  • © The Authors

Language

  • en

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