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

<p> 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 <em>LAS</em>, an intelligent technique that utilizes non-invasively collected game analytics to automatically evaluate the cluster of three cognitive abilities (i.e.<em>,</em> Visual <u>L</u>ong-term Memory (<em>VLTM</em>), <u>A</u>nalytical Capability (<em>AC</em>), and Visual <u>S</u>hort-term Memory in Change Detection Paradigm (<em>VSTMiCDP</em>)). 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 <em>5-point</em> 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. </p>