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Synapse
May 6, 2026Open Research Europe0 citationsOpen Access

Dynamic Difficulty Adjustment Algorithm for Post-Stroke Attention in Virtual Reality

Feasibility of a theory-driven dynamic difficulty adjustment algorithm integrating individual performance and normative data for adaptive modulation of spatial and distractor inhibition attention in a non-immersive virtual reality task: Evidence from individuals following stroke

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Authors

GSGregorio SorrentinoGEGauthier EverardTLThierry Lejeune

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Overview

Feasibility study shows adaptive behavior improves cognitive rehabilitation engagement, indicating potential clinical efficacy post-stroke.

Key Points

  • Investigate the feasibility of a dynamic difficulty adjustment algorithm for attention tasks in stroke patients.
  • Conducted a single-group repeated-measures feasibility study in inpatient and outpatient rehabilitation settings.
  • Engaged ten stroke patients in three 15-minute sessions of a VR task with DDA.
  • The algorithm adjusted difficulty based on real-time performance to keep engagement within 65-85% success rate.
  • All participants completed the protocol without any adverse events.
  • Performance of participants converged toward the target engagement range over the sessions.

Cite This Study

Sorrentino et al. (2026) studied this question.

synapsesocial.com/papers/69fa986a04f884e66b53228chttps://doi.org/10.12688/openreseurope.23432.1
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