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A NeuroIS Approach to Designing Smart Clinical Decision Support System: Eye Movements as a Biomarker for Pain Abstract: The pressing need for objective measures in evaluating chronic pain both in research and practice highlights the role that neuro information systems (neuorIS) research plays in designing smart clinical decision support systems. A first step in such a research agenda involves identifying practical stimuli-task paradigms that can reliably detect chronic pain from physiological measures such as eye movements. In this study, we propose and test a new stimuli-task paradigm. Our results show that our proposed stimuli-task paradigm can detect differences in information processing behavior of people with and without chronic pain. The results also show that our proposed stimuli-task paradigm can reliably predict people’s reported subjective pain experience from their eye movements. These findings provide support for our proposed stimuli-task paradigm. They also show that the eye-tracking variables that we selected to test our proposed paradigm effectively captured the impact that chronic pain has on visual attention and suggest that eye movements have the potential to serve as reliable biomarkers of chronic pain. In other words, our results support the potential for eye movements to aid in efforts to develop smart information systems that can detect the presence and/or the severity of chronic pain from an individual’s ocular behavior. |
January 26, 2024 (Friday) 10:00AM-noon https://wpi.zoom.us/j/99368413788 
Doaa Alrefaei is a PhD candidate at Worcester Polytechnic Institute (WPI) Business School, also serving as a faculty member at the Economics and Administration School, King AbdulAziz University, Saudi Arabia. Her research interests lie at the intersection of human-computer interaction, eye tracking, and NeuroIS. She studies the UI design, aspects, and impact of technology and UI interfaces on users, with a particular focus on enhancing user experiences through eye-tracking techniques and understanding the cognitive aspects of technology usage through neuroscientific approaches. Notably, her investigations include the application of eye tracking and NeuroIS in the domain of healthcare, aiming to improve user interactions and outcomes in healthcare systems. Contact: dalrefaei@wpi.edu |
