Rehabilitative Games for Stroke Patients.

EAI Endorsed Trans. Serious Games(2015)

引用 28|浏览3
暂无评分
摘要
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 promise 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 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 also help healthcare professionals who concern stroke patient’s motivation in rehabilitative context. In this paper, we reported our Virtual Nursing Home (VNH) concept and the games that we are currently developing and re-designing. Based on this literature review, we will present and test out the ideas how we can integrate these motivational factors in our future game design, development, and enhancement.
更多
查看译文
关键词
rehabilitation,motivation,digital games,human-computer interaction,user requirements
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要