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Using Social Interaction in Rehabilitation to Improve Stroke Patients Motivation

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Advances in Affective and Pleasurable Design (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 774))

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Abstract

Rehabilitation for stroke is important for recovery, but for patients, living their daily life independently after stroke is not an easy task. Difficulty accepting their new condition, facing the changes of roles and self-concept are mentioned as psychological challenges that lead to low social interaction affecting relations around them. Additionally, low levels of emotional support may cause depression and decrease motivation. It has been proven that sufficient social support can influence the training outcome resulting in better performance, and a faster recovery. The aim of this study is (1) to explore the concept of sharing in rehabilitation at the purpose of improving patients’ motivation through (2) developing a user-friendly tangible device to train their upper limbs fine motor (ULFM) skills. This study focuses on both the development of the rehabilitation training device, and collection and comparison of data of their interaction with patients and the patient motivation levels.

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Acknowledgments

Thanks to AWWA rehabilitation center and CUTE center for their kindly support on this research. Thank you for continuing to make efforts to help those in need.

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Authors and Affiliations

  1. Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan

    Fu-Yu Liu & Chien-Hsu Chen

  2. Hierarchical Green-Energy Materials(Hi-GEM) Research Center, National Cheng Kung University, Tainan, Taiwan

    Chien-Hsu Chen

Authors
  1. Fu-Yu Liu
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  2. Chien-Hsu Chen
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Corresponding author

Correspondence to Fu-Yu Liu .

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Editors and Affiliations

  1. System Design and Management, Keio University, Tokyo, Japan

    Shuichi Fukuda

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Liu, FY., Chen, CH. (2019). Using Social Interaction in Rehabilitation to Improve Stroke Patients Motivation. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 774. Springer, Cham. https://doi.org/10.1007/978-3-319-94944-4_13

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