Design of a Personalized Affective Exergame to Increase Motivation in the Elderly

Fenja Bruns, Frank Wallhoff

2022

Abstract

Older people are among the most physically inactive. Game-based training programs (exergames) can motivate this group to exercise more. However, for long term benefit it is important to maintain engagement and motivation. Therefore, the emotions of the player should also be taken into account. This paper first gathers requirements to develop a motivating exergame for elderly people. This includes specifics regarding the target group as well as the inclusion of emotion theories. Based on these considerations, a concept for a framework is proposed how these requirements can be implemented with the help of personalization and sensor technology to create a successful and motivating exergame. A sample application demonstrates the flexibility of the presented framework.

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Paper Citation


in Harvard Style

Bruns F. and Wallhoff F. (2022). Design of a Personalized Affective Exergame to Increase Motivation in the Elderly. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF, ISBN 978-989-758-552-4, pages 657-663. DOI: 10.5220/0010892300003123


in Bibtex Style

@conference{healthinf22,
author={Fenja Bruns and Frank Wallhoff},
title={Design of a Personalized Affective Exergame to Increase Motivation in the Elderly},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,},
year={2022},
pages={657-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010892300003123},
isbn={978-989-758-552-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,
TI - Design of a Personalized Affective Exergame to Increase Motivation in the Elderly
SN - 978-989-758-552-4
AU - Bruns F.
AU - Wallhoff F.
PY - 2022
SP - 657
EP - 663
DO - 10.5220/0010892300003123