Date of Award

Spring 2024

Project Type

Thesis

Program or Major

Information Technology

Degree Name

Master of Science

First Advisor

Karen Jin

Second Advisor

Mihaela Sabin

Third Advisor

Timothy Finan

Abstract

AbstractThe profound impact of non-verbal communication in the realms of psychology, virtual reality (VR), and automated systems; underscores, a critical inquiry: How can we effectively interpret and utilize non-verbal cues; for example, eye and head movements, to address current limitations in technology and ethics across various applications? This thesis explores the potential of eye and head movement techniques, as a transformative tool in enhancing diagnostic accuracy, user interaction, and ethical compliance in these fields. One significant contribution of my research is the identification and implementation methods of non-invasive diagnostic tools, in healthcare. Through, the advanced analysis of eye and head movements, I demonstrate how these tools can offer more reliable and less intrusive diagnostic methods, crucial for the early detection and monitoring of mental dysfunctions

In the domain of virtual reality (VR) and automated systems, the challenge persists due to the lack of sophisticated interaction models; which, enable a truly immersive and secure experience. My study reviews existing predictive models; that, improve system responsiveness, enabling more engaging and seamless interactions in VR environments. By enhancing operational safety and adaptability of automated systems,; like, advanced driver-assistance systems (ADAS); these models allow for quicker and more accurate responses to user behavior; significantly, broadening the capabilities and applications of digital interfaces.

Another crucial aspect of my thesis is the examination of ethical and privacy concerns arising from the use of eye and head movement tracking methods. While, I do not propose specific new frameworks, my study emphasizes the importance of aligning with existing ethical standards and legal considerations; to manage sensitive data responsibly. This discussion points towards the need for robust practices that ensure technologies are implemented, in ways that maintain public trust and safeguard individual rights, crucial for the sustainable integration of these technologies; into, everyday applications.

Furthermore, my research delves into extending the application of eye and head movement analysis to fields like behavioral psychology, market research, and educational methodologies. By demonstrating the versatility and wide-reaching benefits of understanding and implementing eye and facial movement tracking technologies, my thesis underscores the potential for these tools, to revolutionize these sectors. This expansion not only highlights the applicability of this technology in diverse contexts; but, also shows how it can provide deeper insights into human behavior and enhance various professional practices.

Finally, my research addresses the integration of these technologies in virtual reality; where, real-time gaze prediction significantly enhances user interaction. By reviewing existing models and their implementation in VR systems, I illustrate how these technologies can reduce latency; thereby, preventing discomfort and improving the immersive experience. This thesis not only reflects on the technological advancements; but, also considers the critical ethical dimensions, advocating for a balanced approach, to innovation, that respects privacy and enhances user experiences across various platforms.

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