Analysis of Motivation in Virtual Reality Stroke Rehabilitation

Paula Epure, Michael Boelstoft Holte

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

8 Citations (Scopus)

Abstract

This paper investigates the post-stroke adult population and their motivation to use virtual reality rehabilitation in the rehabilitation process. The study was conducted on 10 patients, part of a rehabilitation program at NeuroRehab, Sydvestjysk Sygehus, Grindsted, Denmark. The sample of patients was divided into a control group and an experimental group, where the experimental group practiced additionally 30 min of training using a virtual reality rehabilitation system. The system consists of: a head mounted display – Oculus Rift, a motion sensor controller – Leap Motion, a desktop computer and a custom built task simulator game. To study the patients’ motivation, a questionnaire based on the Intrinsic Motivation Inventory, play performance measurements, and video recordings were utilised. It is concluded that the patients who utilised the virtual rehabilitation system indicated slightly increased motivation compared to the control group.
Original languageEnglish
Title of host publicationInteractivity, Game Creation, Design, Learning, and Innovation : 6th International Conference, ArtsIT 2017, and Second International Conference, DLI 2017, Heraklion, Crete, Greece, October 30–31, 2017, Proceedings
PublisherSpringer
Publication date2018
Pages282-293
ISBN (Print)978-3-319-76907-3
ISBN (Electronic)978-3-319-76908-0
DOIs
Publication statusPublished - 2018
Event6th International Conference, ArtsIT 2017, and Second International Conference, DLI 2017 - Heraklion, Greece
Duration: 30 Oct 201731 Oct 2017
http://archive.artsit.org/2017/show/home

Conference

Conference6th International Conference, ArtsIT 2017, and Second International Conference, DLI 2017
Country/TerritoryGreece
CityHeraklion
Period30/10/201731/10/2017
Internet address
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume229
ISSN1867-8211

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