CHI 2025
Emergency Remote Teaching (ERT) during COVID-19 offered a unique chance to study online higher education at scale, beyond traditional lab settings. Through a review of 22 empirical studies, we analyzed how online classrooms addressed different types of interaction. Our findings highlight the need for future research that centers Learner-Content interaction as a way to balance flexibility with structure—especially as ERT may continue to shape education going forward.
Communications of the ACM 2025ACM’s membership and the broader computing field remain disproportionately skewed toward certain regions and demographics, with significant underrepresentation of women, racial minorities, and people with disabilities. As global demand for computing jobs rises, addressing these gaps becomes not just an equity issue but a workforce necessity. To help drive change, organizers of the UbiComp/ISWC 2023 conference implemented targeted programs to enhance diversity and inclusion. This article outlines those initiatives, their implementation costs, and their measured outcomes, offering lessons for fostering equity in international computing conferences.
CHI 2025
Trust in autonomous vehicles varies widely among individuals, and this study uses machine learning to identify the key factors influencing young adults’ trust. Surveying over 1,400 participants, the analysis reveals that perceptions of AV risks and benefits, usability attitudes, institutional trust, prior experience, and mental models are the strongest predictors of trust—while psychosocial traits and driving styles play a lesser role. These findings underscore the need to account for individual differences when designing trustworthy AV systems.
Ph.D. Dissertation 2025Mediated by today's visual displays, information space allows users to discover, access and interact with a wide range of digital and physical information. The information presented in this space may be digital, physical or a blend of both, and appear across different dimensions - such as texts, images, 3D content and physical objects embedded within real-world environment.Ph.D. Dissertation, UC San Diego. Advised by Nadir Weibel.
Ph.D. Dissertation 2025From fine-grain filtering of noise required to selectively attend to a specific person in a social setting, to the rapid visual pattern recognition required for complex tasks like radiological diagnosis, human perceptual and cognitive systems are capable of incredible things. Built up over years of evolution in a physical world, people have developed wonderful abilities.Ph.D. Dissertation, UC San Diego. Advised by Nadir Weibel.
CHI 2025
Interdisciplinary engagement across disciplines is often hindered by stylistic and conceptual differences. Drawing on Large Language Models (LLMs), this work explores how metaphor-based support can improve accessibility and engagement. A survey of early-career HCI researchers found that metaphors increased interest in STS texts, particularly for those with limited prior exposure. We propose a dialogic model of metaphor exchange to support shared understanding and critical reflection across disciplines.
CHI 2025
Explanation errors from autonomous vehicles undermine user comfort, trust, and satisfaction—particularly in unfamiliar or non-routine driving contexts. Through a driving simulator study, the work shows that even subtle inaccuracies in how AVs communicate can erode user confidence, emphasizing the need for clear, context-aware explanations to foster reliable human-machine interaction.