I am a Human Factors and Human-Computer Interaction (HCI) researcher currently affiliated with Cornell Tech as a postdoctoral associate. I have a background in Computer Science, and my current primary research interests lie in the area of automotive human factors. I look at traffic psychology, user trust in automation, driver distraction, road safety, Human-Machine Interfaces (HMI) of automated driving, and Advanced Driver Assistance Systems (ADAS). My current focus lies in the cross-cultural study of human behavior in the context of traffic interaction.
Broadly, I am interested in the fields of ubiquitous computing, multi-modal interaction, and natural user interfaces. I am passionate about Usability, User Experience (UX), Cognitive Psychology, and User-Centered Design. I conduct empirical research and distill insights on human behavior and traffic interaction models to develop, test, and refine prototypes for interface systems.
I received a PhD cum laude from the department of Industrial Design at Eindhoven University of Technology (TU/e) in The Netherlands in 2020. In my Ph.D., I was involved in the i-CAVE project – investigating how self-driving cars interact with pedestrians, bicyclists, and human-driven traffic in the absence of a human driver. You can read my dissertation here. Prior to that, I earned a PDEng (Professional Doctorate in Engineering) in User-System Interaction from TU/e in 2017, and MS in Computer Science from Vanderbilt University in 2012.
Prior to my current research, I worked first as a software engineer, and then as a UX researcher. I collaborated with interdisciplinary teams to investigate and create meaningful interactions, visualize and understand complex and ambiguous concepts, conducted design-driven research to identify interaction issues, and designed relevant solutions.