The Social Maze: A Collaborative Game to Motivate MS Patients for Upper Limb Training - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

The Social Maze: A Collaborative Game to Motivate MS Patients for Upper Limb Training

Tom De Weyer
  • Function : Author
  • PersonId : 1011709
Karel Robert
  • Function : Author
  • PersonId : 1011710
Geert Alders
  • Function : Author
  • PersonId : 1011712
Karin Coninx
  • Function : Author
  • PersonId : 994741

Abstract

Serious gaming is often used in the context of rehabilitation to increase the motivation of the patient to continue the rehabilitation program for a longer period. We investigate serious gaming in the context of rehabilitation programs for multiple sclerosis (MS) patients. Force feedback in combination with a virtual environment is used to establish a training environment supporting basic exercises and more advanced training games for the upper limb, in order to provide patients with an individual training program according to their capabilities. Based on our positive experiences with the use of individual games in this context, we explore “Social Gaming”. More specifically, we designed and developed a “Social Maze”, allowing patients to train together and to interact with the therapist. In this paper we clarify the game concept, setup and context in which the game is used, and report about the player experiences of patients and therapist.
Fichier principal
Vignette du fichier
978-3-642-33542-6_57_Chapter.pdf (426.17 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01556147 , version 1 (04-07-2017)

Licence

Attribution

Identifiers

Cite

Tom De Weyer, Karel Robert, Johanna Renny Octavia Hariandja, Geert Alders, Karin Coninx. The Social Maze: A Collaborative Game to Motivate MS Patients for Upper Limb Training. 11th International Confernece on Entertainment Computing (ICEC), Sep 2012, Bremen, Germany. pp.476-479, ⟨10.1007/978-3-642-33542-6_57⟩. ⟨hal-01556147⟩
48 View
127 Download

Altmetric

Share

Gmail Facebook X LinkedIn More