Abstract
Advances in science have significantly enhanced our understanding of information-processing behavior. This paper uses fixation duration and pupil size heatmaps to examine differences in attention and arousal between individuals with and without chronic pain as they complete a series of pain-related surveys commonly used in clinical settings. This study provides insight for designing intelligent tools to detect chronic pain via eye movements. While existing research has mainly focused on attentional biases towards pain-related stimuli, our study highlights the importance of considering emotional responses reflected in ocular behavior. Moreover, because attention and emotional responses are sensitive to the content and presentation of stimuli, visualizing these processes as heatmaps offers a deeper understanding of how information is processed. This can significantly aid in developing advanced systems that detect human experience, such as chronic pain, based on eye movement patterns.
Recommended Citation
Sankar, Gaayathri; Djamasbi, Soussan; and Strong, Diane, "Applying NeuroIS to Chronic Pain: Using Heatmaps to Understand Contextual Factors" (2025). SIGHCI 2024 Proceedings. 19.
https://aisel.aisnet.org/sighci2024/19
