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We will use virtual play therapy as a case study to explore the suitability of VR in the context of telehealth.

After the wide adoption of commercial virtual reality (VR), this research proposes to systematically examine and classify deceptive user interface designs (also known as “dark patterns”) that coerce, steer, or manipulate users’ information privacy decisions in immersive VR environments.

In this work, we are interested in broadening our understanding of people's mental models of Internet of Things (IoT) devices. Particularly, we are interested in collecting and analyzing stories they may have heard related to IoT devices for studying people's mental models.

This project investigates families' mental models of security and privacy through their interactions with the RoboHub NAO robot, an autonomous and programmable humanoid robot developed for research and educational purposes.

This project identifies similarities and differences between teachers’ and creators’ perspectives about what makes cybersecurity educational material effective, engaging, and accessible to educators and students.

In this project, we explore UX/UI designers’ values and responsibilities towards “privacy dark patterns” (the use of deceptive design patterns to minimize users’ privacy).

In a series of studies, we identify developer security personas to describe their attitudes and motivations towards secure development to guide the design of tools and interventions tailored to specific developer segments.