Evaluation of AI-Supported Input Methods in Augmented Reality Environment

TL;DR

This paper explores AI-supported, hand-free input methods for augmented reality environments to enhance usability in medical and industrial applications, especially for users with physical disabilities.

Contribution

It introduces novel hand-free interfacing techniques using AR and AI to improve human-computer interaction in scenarios requiring hands-free operation.

Findings

Developed new hand-free input methods for AR environments.

Enhanced accessibility for users with physical disabilities.

Improved interaction efficiency in AR applications.

Abstract

Augmented Reality (AR) solutions are providing tools that could improve applications in the medical and industrial fields. Augmentation can provide additional information in training, visualization, and work scenarios, to increase efficiency, reliability, and safety, while improving communication with other devices and systems on the network. Unfortunately, tasks in these fields often require both hands to execute, reducing the variety of input methods suitable to control AR applications. People with certain physical disabilities, where they are not able to use their hands, are also negatively impacted when using these devices. The goal of this work is to provide novel hand-free interfacing methods, using AR technology, in association with AI support approaches to produce an improved Human-Computer interaction solution.