1

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.

AMIA 2024Using ASR and NLP, we developed a pipeline to analyze social signals in audio recordings of 782 primary care visits, achieving 90.1% accuracy and fairness across patient groups. The analysis revealed significant disparities in provider behaviors, with more patient-centered communication observed toward white patients, highlighting the potential of automated tools to uncover biases and promote equitable healthcare.

DIS 2024Cross‑device contouring lets oncologists use mobile touchscreens to cut planning time while preserving accuracy.

CHI 2024 Analyzing patient-provider communication through social signals like dominance, interactivity, engagement, and warmth can help improve care by identifying opportunities for better interactions. We introduce a machine-learning pipeline embedded in ConverSense, a web application that visualizes communication patterns across visits. A user study with clinicians and patients highlights its potential to provide actionable, context-specific feedback for enhancing communication quality and patient outcomes.

CHI 2024 Implicit bias among healthcare providers can negatively impact care quality and patient outcomes, necessitating tools to identify and address these biases. Through design sessions with 24 primary care providers, we found they prefer feedback with transparent metrics, trends across visits, and actionable tips presented in a dashboard. These insights can guide the development of interactive systems to support equitable healthcare, especially for marginalized communities.

CHI 2024Through interviews, workshops, and a global survey, this study uncovered gaps between how contouring is taught and what residents need to learn effectively. While faculty often focus on efficiency, residents seek timely, varied, and cognitively rich feedback. Key challenges include limited support for sharing reasoning and balancing clinical with teaching responsibilities. Sociotechnical solutions are proposed to bridge these gaps, such as using senior learners for peer teaching and capturing cognitive insights through in-situ video feedback.

UbiComp 2024 User preferences for mobile sensing and mental health interventions vary significantly across data types, with some sensors more acceptable than others. A university-wide survey reveals that individuals willing to share one type of data are often open to others, highlighting distinct engagement patterns. These insights support the design of inclusive, scalable mental health apps tailored to student needs.

AMIA 2024Implicit bias impacts the quality of patient-clinician interactions, influencing patient outcomes and trust in healthcare. Most interventions to mitigate bias rely solely on expensive human assessments, rather than leveraging AI technology with clinician input.

IJROBP 2024 Contouring assessments from novice radiation oncology residents reveal consistent patterns of error across disease sites, including undercontouring lymph nodes and missing key at-risk volumes. Using an interactive online platform during early clinical rotations, the study identifies specific structures frequently overlooked, such as the inguinal nodes in anal cancer and the base of skull in nasopharyngeal cases. These insights can inform targeted educational interventions and support the development of more standardized contouring curricula.