Towards Adaptive Switches through implementation of visual feedback in assistive devices

Products aimed at individuals with disabiliy could not match user requirements under conditions imposed by the user. Also, frequent modifications and adaptation are required to increase the match between user requirements and prototypes. The importance to test different solutions and gain a knowledge base is an important aspect as the time in trials and experimentation is still a limit of personalized devices. An experimentation is conducted to test a solution of hardware interface for an Augmentative and Alternative Communication System which implements visual feedbacks and visual tutorial in training phase. In this study, visual feedbacks demonstrate an improvement of performances due to three main effects: reducing training time through an interactive tutorial, improving automatic behaviour and limiting cognitive load. The prototypes are realized using open-source electronic boards and Additive Manufacturing to realize the housing. A usability test is performed to calculate metrics and benchmark solutions with and without visual aids. Measures of Lostness and Keystroke Level Model estimates the effectiveness of software interface and interaction of users with hardware and software interfaces.Also, this study can lead to the definition of an adaptive switch that modify its status in order to eliminate redundant operations and ineffective actions.Visual feedback has proven some advantages in training user and Additive Manufacturing enabled the study and lead the way for devices that are adaptive on software interface and control and personalized in the hardware interface.