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Situational cognitive training game framework

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q3 · 1 of 1 report an effect size · 1 claim rests on one study

Description

The article proposes a three-component framework for designing cognitive training games that balances training effectiveness, motivation, and context. As printed, "this study proposes a situational cognitive training game framework that integrates cognitive training foundation, motivational design framework, and human–computer interaction framework". The cognitive foundation adopts classic inhibition trainings (Simon and Stroop tasks); the motivational design framework draws on Keller's ARCS model and Yee's gameplay motivation framework, using game elements to enhance challenge, confidence, and satisfaction; the human–computer interaction framework incorporates authentic contexts to promote immersion and engagement.

Design Implications

Context

Requirements

  • Classic inhibition trainings as the cognitive design basis to ensure training effectiveness
  • Game elements aligned with ARCS factors and Yee's achievement and immersion components
  • Authentic real-life contexts grounded in the human–computer interaction framework

Constraints

  • Developed and evaluated for inhibition ability, one EF sub-skill, with university students

Target Learners

  • university students

Learning Goals

  • inhibition ability (executive function)

Claims

Examples

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Key Sources

  • Sora Chi-Fang Huang, Zhi-Hong Chen, Yu-Tzu Lin. (2026). Enhancing inhibition ability through situational training games: effectiveness, motivation and experience. Education Tech Research Dev 74. https://doi.org/10.1007/s11423-026-10593-3
Page metadata
Field Value
type design
id situational-cognitive-training-game-framework
title Situational cognitive training game framework
description The article proposes a three-component framework for designing cognitive training games that balances training effectiveness, motivation, and context.
status review
generated by process:settle-candidates on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — sora-chi-fang-huang-2026

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