I specialize in user experience and decision-making research, focusing on uncovering the intricacies of human cognition to understand the factors that enhance or impede the effective use of information technologies.
Since people predominantly use their eyes to process information, I utilize eye-tracking technology to study user reactions to product and service designs. For example, I analyze eye movement data to evaluate user engagement with various content, ranging from embedded information on organizational websites to complex details, such as diagnosis and treatment options, in medical decision aids.
Beyond design evaluation, my research explores using eye movement data as a biomarker of experience. This approach harnesses the potential of artificial intelligence to shape the next generation of innovative products and services. For instance, my colleagues and I developed a machine learning engine to automatically and unobtrusively detect cognitive load through eye movements. This project contributes to the design of smart systems that can offer real-time feedback and personalized content to users.
In a recent project, my research focus shifted to designing the next generation of smart clinical decision support systems. By capturing the dynamic nature of attention through eye movements, this work aims to bridge the gap between technology and human well-being, using patients' eye movements as biomarkers for health symptoms like chronic pain and anxiety.
In addition to my research, I thoroughly enjoy teaching at WPI. I engage with both graduate and undergraduate students, advising PhD projects as well. Teaching, much like my research, is a dynamic and innovative process. It challenges me to constantly evaluate and refine my teaching strategies to prepare students for today’s fast-paced digital economy and competitive business environments. Witnessing my students' growth and accomplishments is one of the most rewarding experiences of my career as a teacher and scholar.
