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

Faizan Ahmad, Zeeshan Ahmed, Momina Shaheen, Sara Muneeb, Rubata Riasat

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
JournalMultimedia Tools and Applications
Publication statusPublished - 10 Apr 2023

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