Specializing in user experience and decision-making research, Dr. Djamasbi’s work centers on investigating the intricacies of human cognition. Utilizing eye-tracking technology, she focuses on investigating attention and effort at a micro-cognitive level to seamlessly enhance design. One noteworthy application of eye tracking in her research involves measuring engagement with various visual information, ranging from embedded content in organizational websites to the complex information found in medical decision aids. Moving beyond design evaluation, Dr. Djamasbi’s research focuses on 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, in one project, Dr. Djamasbi uses eye tracking to automatically detect cognitive load, aiding in the design of smart systems that provide real-time personalization. In a more recent project, Dr. Djamasbi’s research focuses on designing the next generation of smart clinical decision support systems. By capturing the dynamic nature of attention through eye movements, her work strives to bridge the gap between technology and human well-being, utilizing patients' eye movements as a biomarker for health symptoms such as chronic pain and anxiety.