Tabor, Aaron and Bateman, Scott and Scheme, Eric and Flatla, David and Gerling, Kathrin (2017) Designing game-based myoelectric prosthesis training. In: CHI 2017, 6 - 11 May 2017, Denver, CO, USA.
chi2017-final version.pdf - Whole Document
|Item Type:||Conference or Workshop contribution (Paper)|
|Item Status:||Live Archive|
A myoelectric prosthesis (myo) is a dexterous artificial limb controlled by muscle contractions. Learning to use a myo can be challenging, so extensive training is often required to use a myo prosthesis effectively. Signal visualizations and simple muscle-controlled games are currently used to help patients train their muscles, but are boring and frustrating. Furthermore, current training systems require expensive medical equipment and clinician oversight, restricting training to infrequent clinical visits. To address these limitations, we developed a new game that promotes fun and success, and shows the viability of a low-cost myoelectric input device. We adapted a user-centered design (UCD) process to receive feedback from patients, clinicians, and family members as we iteratively addressed challenges to improve our game. Through this work, we introduce a free and open myo training game, provide new information about the design of myo training games, and reflect on an adapted UCD process for the practical iterative development of therapeutic games.
|Keywords:||Human-Computer Interaction, Games computing|
|Subjects:||G Mathematical and Computer Sciences > G440 Human-computer Interaction|
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||02 Feb 2017 20:50|
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