Investigating Input Modality and Task Geometry on Precision–first 3D Drawing in Virtual Reality

ISMAR 2022

Towards Visualization of Time–Series Ecological Momentary Assessment (EMA) Data on Standalone Voice–First Virtual Assistants

ASSETS 2022 To explore the potential opportunities for visualizing time-series based EMA data on standalone IVAs, we designed a prototype system, where older adults are able to query and examine the time–series EMA data on Amazon Echo Show — a widely used commercially available standalone screen–based IVA

Exploring Needs and Design Opportunities for Virtual Reality-based Contour Delineations of Medical Structures

EICS 2022 We present an exploratory study that uses iterative design to understand needs and opportunities to bring contour delineation into an immersive 3D space, such as the one enabled by today’s head-mounted VR displays

Social Mobile Approaches to Reducing Weight (SMART) 2.0: protocol of a randomized controlled trial among young adults in university settings

Trials 2022 The Social Mobile Approaches to Reducing Weight (SMART) 2.0 Study is a 24-month parallel-group randomized controlled trial that will include 642 overweight or obese participants, aged 18–35 years, from universities and community colleges in San Diego, CA.

Evaluating Accuracy, Completion Time and Usability of Everyday Touch Devices for Contouring

ASTRO 2022 Daily re-evaluation of contours associated with adaptive planning is time-intensive and difficult to access. This project evaluated the efficacy of everyday touch devices for contouring using a novel cross-platform interface.

Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians

CHI 2022 To understand the perspectives of clinicians on the design of effective educational strategies and for tools to help identify implicit bias, we conducted 21 semi-structured interviews with primary care clinicians about their perspectives and design recommendations for tools to improve patient-centered communication and to help mitigate implicit bias.

Making Hidden Bias Visible: Designing a Feedback Ecosystem for Primary Care Providers

CHI 2022 - QT-BIPOC PD Workshop We present wireframes displaying communication metrics that negatively impact patient-centered care divided into the following categories: digital nudge, dashboard, and guided reflection. Our wireframes provide quantitative, real-time, and conversational feedback promoting provider reflection on their interactions with patients.