ASE2025
EyeNav: Accessible Webpage Interaction and Testing using Eye-tracking and NLP
Juan Diego Yepes-Parra, Camilo Escobar-Velásquez
摘要
In the field of human-computer interaction (HCI), alternative interaction methods are becoming increasingly popular and commercially available. From this opportunity came EyeNav, a system that combines eye-tracking and natural language processing (NLP) to enhance accessibility and enable automated test generation. The integration of these technologies for intuitive web interaction, using pointer control via gaze and natural language processing for interpreting user intentions, also presents a record-and-replay module for generating automated test scripts. Envisioned for users with motor disabilities, developers, usability testers, and general users interested in exploring novel multimodal web interactions. The ultimate goal is to demonstrate that this tool can be used not only as a possible assistive technology but also as an innovative approach to software testing. The tool is available publicly at https://thesoftwaredesignlab.github.io/EyeNav/, accompanied with a demonstration video https://thesoftwaredesignlab.github.io/EyeNav/video.html