Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15041
Title: As I am not you: accommodating user diversity through adaptive rehabilitation training for multiple sclerosis patients
Authors: OCTAVIA, Johanna 
CONINX, Karin 
FEYS, Peter 
Issue Date: 2012
Publisher: ACM
Source: Farrell, Vivienne; Farrell, Graham; Chua, Caslon; Huang, Weidong; Vasa, Raj; Woodward, Clinton (Ed.). Proceedings of the 24th Australian Computer-Human Interaction Conference, p. 424-432
Abstract: People who suffer from Multiple Sclerosis (MS) are unique individuals with their own characteristics and rehabilitation training needs. The great variation of MS symptoms and severity of the disease elevates a need to accomodate the diversity among its patients and support adaptive personalized training to meet every patient's rehabilitation needs. Our research has focused on integrating adaptivity in rehabilitation training for MS patients. We introduced the automatic adjustment of difficulty levels as a type of adaptation that can be provided in MS rehabilitation training exercises. A user study has been carried out to investigate the outcome of this adaptation. An adaptive personalized training has been provided to MS patients according to their own individual training progress, which was appreciated by the patients and the therapist. The automatic adjustment of difficulty levels is considered to provide more variety in the training and minimize the therapist's involvement in setting up the training.
Keywords: user diversity; adaptivity; rehabilitation; Multiple Sclerosis
Document URI: http://hdl.handle.net/1942/15041
ISBN: 978-1-4503-1438-1
DOI: 10.1145/2414536.2414603
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
OZCHI_Johanna Octavia, adaptivity.pdfPeer-reviewed author version810.4 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

9
checked on Sep 3, 2020

Page view(s)

30
checked on Sep 7, 2022

Download(s)

22
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.