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Computer Science > Human-Computer Interaction

arXiv:2203.10704 (cs)
[Submitted on 21 Mar 2022 (v1), last revised 18 May 2022 (this version, v2)]

Title:The Interface Usage Skills Test: An Open Source Tool for Quantitative Evaluation in Real Time for Clinicians and Researchers

Authors:Mahdieh Nejati Javaremi, Sisilia Sinaga, Yuming Jin, Matthew L. Elwin, Brenna Argall
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Abstract:Assistive machines endow people with limited mobility the opportunity to live more independently. However, operating these machines poses risks to the safety of the human operator as well as the surrounding environment. Thus, proper user training is an essential step towards independent control and use of functionally assistive machines. The human operator can use a variety of control interfaces to issue control signals to the device, depending on the residual mobility and level of injury of the human operator. Proficiency in operating the interface of choice precedes the skill in operating the assistive machine. In this systems paper, we present an open source tool for automatically and objectively quantifying user skill in operating various interface devices.
Comments: 6 pages, 4 figures, accepted at ICORR 2022
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2203.10704 [cs.HC]
  (or arXiv:2203.10704v2 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2203.10704

Submission history

From: Mahdieh Nejati Javaremi [view email]
[v1] Mon, 21 Mar 2022 02:09:10 UTC (934 KB)
[v2] Wed, 18 May 2022 14:07:25 UTC (1,026 KB)
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