The Interface Usage Skills Test: An Open Source Tool for Quantitative Evaluation in Real Time for Clinicians and Researchers
Mahdieh Nejati Javaremi, Sisilia Sinaga, Yuming Jin, Matthew L. Elwin,, and Brenna Argall

TL;DR
This paper introduces an open source tool designed to objectively and automatically measure user skill in operating different control interfaces for assistive machines, enhancing training and safety.
Contribution
The paper presents a novel open source tool for real-time quantitative evaluation of interface usage skills in clinicians and researchers.
Findings
Provides a standardized method for skill assessment
Enables real-time, objective measurement of interface proficiency
Supports diverse control interfaces
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.
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Taxonomy
TopicsAssistive Technology in Communication and Mobility · Gaze Tracking and Assistive Technology · Human-Automation Interaction and Safety
