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  4. On exploring design elements in assistive serious games for Parkinson's disease patients. i-PROGNOSIS exergames paradigm
 
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2018
Conference Paper
Title

On exploring design elements in assistive serious games for Parkinson's disease patients. i-PROGNOSIS exergames paradigm

Abstract
Serious Games (SGs) design couples learning design with game logic. Moreover, it can result in SGs with beneficial effects in sustaining and/or improving the (physical, cognitive) functionality in older adults. In this vein, the design elements in assistive SGs for Parkinson's Disease (PD) patients are explored here. The Game-Based Learning (GBL) design framework is adopted and its main game-design parameters are combined in a test case of Exergames design, drawn from the i-PROGNOSIS Personalized Game Suite (http://www.i-prognosis.eu). Data from a GBL-related Web-survey, completed by 104 participants, were subjected to linear regression analysis, so to identify an adapted GBL framework with the most significant game-design parameters, which efficiently predict the transferability of the Exergames beneficial effect to real-life, addressing functional PD symptoms. The findings of the proposed analysis can assist game designers to focus on the use of significant parameters during the designing process of Exergames for PD patients and maximize the positive effect of the SGs in their quality of daily life.
Author(s)
Dias, Sofia B.
Universidade de Lisboa, Portugal
Diniz, José A.
Universidade de Lisboa, Portugal
Konstantinidis, Evdokimos I.
Aristotle University of Thessaloniki, Greece
Savvidis, T.
Aristotle University of Thessaloniki, Greece
Bamidis, P.
Aristotle University of Thessaloniki, Greece
Stadtschnitzer, Michael  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Jaeger, Hagen  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Klingelhoefer, Lisa
Technische Universität Dresden
Trivedi, Dhaval
King's College London, UK
Bostantjopoulou, Sevasti
G. Papanikolaou Hospital Thessaloniki, Greece
Charisis, Vasilios S.
Aristotle University of Thessaloniki, Greece
Hadjidimitriou, Stelios
Aristotle University of Thessaloniki, Greece
Iakovakis, D.
Aristotle University of Thessaloniki, Greece
Hadjileontiadis, Leontios J.
University of Science and Technology Thessaloniki, Greece
Mainwork
2nd International Conference on Technology and Innovation in Sports, Health and Wellbeing, TISHW 2018. Proceedings  
Project(s)
i-Prognosis  
Funder
European Commission EC  
Conference
International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) 2018  
Open Access
DOI
10.1109/TISHW.2018.8559515
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • i-PROGNOSIS

  • Parkinsons Disease

  • serious game

  • game-based learning framework

  • ExerGames

  • linear regression

  • personalized game suite

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