Abstract
Stroke is one of the major problems in medical and healthcare that can cause severe disability and death of patients especially for older population. Rehabilitation plays an important role in stroke therapy. However, most of the rehabilitative exercises are monotonous and tiring for the patients. For a particular time, they can easily get bored in doing these exercises. The role of patient’s motivation in rehabilitation is vital. Motivation and rehabilitative outcomes are strongly related. Digital games are promising to help stroke patients to feel motivated and more engaged in rehabilitative training through motivational gameplay. Most of the commercial games available in the market are not well-designed for stroke patients and their motivational needs in rehabilitation. This study aims at understanding the motivational requirements of stroke patients in doing rehabilitative exercises and living in a post-stroke life. Based on the findings from the literature review, we report that there are many factors that can influence the stroke patients’ level of motivation such as social functioning, patient-therapist relationship, goal-setting, and music. These findings are insightful and useful for ideating and designing interactive motivation-driven games for stroke patients. The motivational factors of stroke patients in rehabilitation may help the game designers to design motivation-driven game contexts, contents, and gameplay. Moreover, these findings may help not only game designers but also healthcare professionals who concern stroke patient’s motivation in rehabilitative context.
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Acknowledgments
We would like to thank our collaborators and partners in the project called Gamified Solutions in Healthcare (GSH). This on-going project was supported and funded by Finnish Funding Agency for Technology and Innovation (Tekes), City of Turku, and several technological companies.
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Pyae, A., Luimula, M., Smed, J. (2015). Understanding Stroke Patients’ Motivation for Motivation-Driven Rehabilitative Game Design. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_16
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