The lack of effective adaptability in computer systems when dealing with people with motor disabilities hinders productivity and educational growth. Through this study, a review of articles on the development of Human-Computer Interaction (HMI) is conducted, arriving at studies involving the use of eye-tracking technologies as an advance for HMI. Consequently, we seek to design a prototype eye-tracking software that allows these individuals to interact with computers using their visual capabilities and evaluate the prototype to analyze future improvements. Various eye-tracking technologies are explored to identify the most effective one, considering accuracy, response times, and ease of implementation. The prototype prioritizes simple and effective control, ensuring intuitive and fluid interaction. As a methodology, initial tests of the prototype are performed with users with motor disabilities to evaluate the usability and workload of the software. SUS and NASA-TLX questionnaires collect quantitative and qualitative data on user experience. The results indicate that the prototype is marginally acceptable in terms of usability, although it presents a high workload due to mental and temporal demands. Despite these challenges, eye tracking shows a promising future as an assistive technology for people with motor disabilities. The research seeks to advance technological inclusion and promote equal opportunities for people with motor disabilities, facilitating their participation in digital activities and improving their quality of life. It is expected that the eye-tracking software developed will contribute to bridging the digital divide and promote a more accessible society.