Interactive Virtual Games: Winners for Deep Cognitive Assessment
Dom CP Marticorena, Zeyu Lu, Chris Wissmann, Yash Agarwal, David Garrison, John M Zempel, Dennis L Barbour

TL;DR
This paper introduces pixelDOPA, a virtual gaming platform for cognitive assessment that combines traditional tasks with rich behavioral data, demonstrating high reliability and strong correlations with standard measures in a clinical sample.
Contribution
The study presents a novel virtual game-based platform that enhances cognitive assessment by integrating continuous behavioral tracking and demonstrating its validity and reliability.
Findings
High correlations (r = 0.47-0.92) with NIH Toolbox tasks.
High test-retest reliability (ICC = 0.71-0.85).
Trajectory-based features enable individual identification.
Abstract
Studies of human cognition often rely on brief, highly controlled tasks that emphasize group-level effects but poorly capture the rich variability within and between individuals. A suite of minigames built on the novel pixelDOPA platform was designed to overcome these limitations by embedding classic cognitive task paradigms in a 3D virtual interactive environment with continuous behavior logging. Four of the minigames explore constructs that overlap established NIH Toolbox tasks, including processing speed, rule shifting, inhibitory control and working memory. Across a clinical sample of 66 participants collected outside a controlled laboratory setting, large correlations (r = 0.47-0.92) between the pixelDOPA tasks and NIH Toolbox counterparts were found. Process-informed metrics improved both task convergence and data quality. Test-retest analyses revealed high reliability (ICC =…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning
