A virtual environment tool for the evaluation of Learned Non-use in stroke survivors

This research addresses the hypothesis that selection patterns in stroke patients are modulated by different factors such as expected success, effort, fatigue, speed, accuracy, among others. The present study describes an ongoing research to develop a tool that aims to determine the existence and the level of learned non-use in patients by isolating the factor of accuracy and expected success.

Speaker(s)

, M.Sc. candidate in Human-Computer Interaction, Indiana University – Purdue University Indianapolis