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Using Both Hands: Tangibles for Stroke Rehabilitation in the Home

Authors:

Laura Maye, and

David McGookinAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

Paper No.: 382, Pages 1 - 14

https://doi.org/10.1145/3290605.3300612

Published: 02 May 2019 Publication History

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Abstract

Stroke is one of the most common cause of long-term disability in the world, significantly reducing quality of life through impairing motor functions and cognitive abilities. Whilst rehabilitation exercises can help in the recovery of motor function impairments, stroke survivors rarely exercise enough, leading to far from optimal recovery. In this paper, we investigate how upper limb stroke rehabilitation can be supported using interactive tangible bimanual devices in the home. We customise the rehabilitation activities based on individual rehabilitation requirements and motivation of stroke survivors. Through evaluation with five stroke survivors, we uncovered insight into how tangible stroke rehabilitation systems for the home should be designed. The evaluation revealed the special importance of tailorable form factor and supporting self-awareness and grip exercises in order to increase the independency of stroke survivors to carry out activities of daily living.

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Cited By

Madapura Nagaraj PMo WHolloway C(2024)Mindfulness-based Embodied Tangible Interactions for Stroke Rehabilitation at HomeProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642463(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642463
Hover QKarahanoğlu ANizamis KKottink ARietman JHaarman J(2023)Development of Interactive Hand Rehabilitation Tools Based on Activities of Daily LivingProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3573115(1-9)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3573115
Chen XJiang XGuo SLin JLiao MFan HZhang YLuo G(2023)RehabFAB: design investigation and needs assessment of displacement-orientated fabric wearable sensors for rehabilitationMultimedia Tools and Applications10.1007/s11042-023-17726-383:19(57579-57612)Online publication date: 15-Dec-2023
https://doi.org/10.1007/s11042-023-17726-3
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Index Terms

Using Both Hands: Tangibles for Stroke Rehabilitation in the Home
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. Field studies

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Published: 02 May 2019

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CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;

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Cited By

Madapura Nagaraj PMo WHolloway C(2024)Mindfulness-based Embodied Tangible Interactions for Stroke Rehabilitation at HomeProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642463(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642463
Hover QKarahanoğlu ANizamis KKottink ARietman JHaarman J(2023)Development of Interactive Hand Rehabilitation Tools Based on Activities of Daily LivingProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3573115(1-9)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3573115
Chen XJiang XGuo SLin JLiao MFan HZhang YLuo G(2023)RehabFAB: design investigation and needs assessment of displacement-orientated fabric wearable sensors for rehabilitationMultimedia Tools and Applications10.1007/s11042-023-17726-383:19(57579-57612)Online publication date: 15-Dec-2023
https://doi.org/10.1007/s11042-023-17726-3
Sarsenbayeva ZVan Berkel NVelloso EGoncalves JKostakos V(2022)Methodological Standards in Accessibility Research on Motor Impairments: A SurveyACM Computing Surveys10.1145/354350955:7(1-35)Online publication date: 15-Dec-2022
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Li LTyson SWeightman A(2021)Professionals' Views and Experiences of Using Rehabilitation Robotics With Stroke Survivors: A Mixed Methods SurveyFrontiers in Medical Technology10.3389/fmedt.2021.7800903Online publication date: 11-Nov-2021
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Lewis BVenkatasubramanian KKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I...Got my Nose-Print. But it Wasn’t Accurate”: How People with Upper Extremity Impairment Authenticate on their Personal Computing DevicesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445070(1-14)Online publication date: 6-May-2021
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Subramanian SDahl YVereijken BSvanæs D(2020)ExerTiles: A Tangible Interactive Physiotherapy Toolkit for Balance Training with Older AdultsProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441043(233-244)Online publication date: 2-Dec-2020
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Kelliher AZilevu SRikakis TAhmed TTruong YWolf SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Towards Standardized Processes for Physical Therapists to Quantify Patient RehabilitationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376706(1-13)Online publication date: 21-Apr-2020
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