Personalized Assistive Technologies for Motor-Impaired Students: A Case of Learning Process Mining.

Abstract

Motor disability includes the lack of sensation, movement, or coordination, and Assistive Technologies (AT) can help overcome these challenges. Motor-disabled students need different ATs and configurations depending on courses and individual needs, and some solutions can be expensive. Some affordable AT has roots in gaming but can also be used for other purposes. However, there is little research on how they can be combined to define a personalized setting. Therefore, we performed a literature review to identify challenges and solutions to support students with motor disabilities in using information systems. The result defines a framework for identifying personalized settings. The usability of the result was demonstrated by performing a self-experimentation study of the first author, who has a motor disability. The results show its utility while learning process mining using the Graphical User Interface (GUI) and code-based tools. We identified challenges in using different User Interface (UI) elements, which can be used as a guideline for designers of process mining tools as well as other information systems to support diversity.