Explanipedia

PosterMate: Audience-driven Collaborative Persona Agents for Poster Design Open

Dong-Hoon Shin, Daniel Lee, Gary Hsieh, Gromit Yeuk-Yin Chan · 2025

Poster designing can benefit from synchronous feedback from target audiences. However, gathering audiences with diverse perspectives and reconciling them on design edits can be challenging. Recent generative AI models present opportunities…

PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational Agent Open

Dong-Hoon Shin, Gary Hsieh, Young‐Ho Kim · 2025

What About My Design Context?: Exploring the Use of Generative AI to Support Customization of Translational Research Artifacts Open

Dong-Hoon Shin, Tze-Yu Chen, Gary Hsieh, Lucy Lu Wang · 2025

Optimizing the user-experience (UX) and −interface (UI) of a mHealth application to aid recovery from burn injury (BurnCORE) through a user-centered design approach Open

Barclay T. Stewart, Kyler Menge, T. Kurien, Caitlin Orton, Rebecca Estrada , et al. · 2025

Comparing Large Language Model AI and Human-Generated Coaching Messages for Behavioral Weight Loss Open

Zhuoran Huang, Michael P. Berry, Christina Chwyl, Gary Hsieh, Jing Wei , et al. · 2025

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots, …

Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust Open

Ruoxi Shang, Gary Hsieh, Chirag Shah · 2024

Trust is not just a cognitive issue but also an emotional one, yet the research in human-AI interactions has primarily focused on the cognitive route of trust development. Recent work has highlighted the importance of studying affective tr…

AI-Assisted Causal Pathway Diagram for Human-Centered Design Open

Ruican Zhong, Dong-Hoon Shin, Rosemary D. Meza, Predrag Klasnja, Lucas Colusso , et al. · 2024

This paper explores the integration of causal pathway diagrams (CPD) into\nhuman-centered design (HCD), investigating how these diagrams can enhance the\nearly stages of the design process. A dedicated CPD plugin for the online\ncollaborat…

From Paper to Card: Transforming Design Implications with Generative AI Open

Dong-Hoon Shin, Lucy Lu Wang, Gary Hsieh · 2024

Communicating design implications is common within the HCI community when publishing academic papers, yet these papers are rarely read and used by designers. One solution is to use design cards as a form of translational resource that comm…

Correction: Leveraging human-centered design and causal pathway diagramming toward enhanced specifcation and development of innovative implementation strategies: a case example of an outreach tool to address racial inequities in breast cancer screening Open

Leah M. Marcotte, Raina Langevin, Bridgette Hempstead, Anisha Ganguly, Aaron R. Lyon , et al. · 2024

Leveraging human-centered design and causal pathway diagramming toward enhanced specification and development of innovative implementation strategies: a case example of an outreach tool to address racial inequities in breast cancer screening Open

Leah M. Marcotte, Raina Langevin, Bridgette Hempstead, Anisha Ganguly, Aaron R. Lyon , et al. · 2024

Background Implementation strategies are strategies to improve uptake of evidence-based practices or interventions and are essential to implementation science. Developing or tailoring implementation strategies may benefit from integrating …

Speech as Interactive Design Material (SIDM): How to design and evaluate task-tailored synthetic voices? Open

Mateusz Dubiel, Matthew P. Aylett, Anuschka Schmitt, Zilin Ma, Gary Hsieh , et al. · 2024

The aim of this workshop is two-fold. First, it aims to establish a research\ncommunity focused on design and evaluation of synthetic speech (TTS) interfaces\nthat are tailored not only to goal oriented tasks (e.g., food ordering, online\n…

Comparing Large Language Model AI and Human-Generated Coaching Messages for Behavioral Weight Loss Open

Zhuoran Huang, Michael P. Berry, Christina Chwyl, Gary Hsieh, Jing Wei , et al. · 2023

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots, …

To Reply or to Quote: Comparing Conversational Framing Strategies on Twitter Open

Himanshu Zade, Spencer Williams, Theresa T. Tran, Christina Smith, Sukrit Venkatagiri , et al. · 2023

Social media platform affordances allow users to interact with content and with each other in diverse ways. For example, on Twitter, 1 users can like, reply, retweet, or quote another tweet. Though it’s clear that these different features …

PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational Agent Open

Dong-Hoon Shin, Gary Hsieh, Young-Ho Kim · 2023

Creating personalized and actionable exercise plans often requires iteration with experts, which can be costly and inaccessible to many individuals. This work explores the capabilities of Large Language Models (LLMs) in addressing these ch…

IntroBot: Exploring the Use of Chatbot-assisted Familiarization in Online Collaborative Groups Open

Dong-Hoon Shin, Soomin Kim, Ruoxi Shang, Joonhwan Lee, Gary Hsieh · 2023

Many people gather online and form teams with strangers to collaborate on tasks. However, while intrateam trust and cohesion are critical for team performance, such characteristics take time to establish and are harder to build up through …

Probing a Community-Based Conversational Storytelling Agent to Document Digital Stories of Housing Insecurity Open

Brett A. Halperin, Gary Hsieh, Erin McElroy, James Pierce, Daniela K. Rosner · 2023

Despite the central role that stories play in social movement-building, they are difficult to sustainably document for many reasons. To explore this challenge, this paper describes the design of a community-based conversational storytellin…

What is in the Cards: Exploring Uses, Patterns, and Trends in Design Cards Open

Gary Hsieh, Brett A. Halperin, Evan Schmitz, Yen Nee Chew, Yuan‐Chi Tseng · 2023

Card-based design tools–design cards–increasingly present opportunities to support practitioners. However, the breadth and depth of the design card landscape remain underexplored. In this work, we surveyed 103 design practitioners to asses…

Tweet Trajectory and AMPS-based Contextual Cues can Help Users Identify Misinformation Open

Himanshu Zade, Megan Woodruff, Erika Johnson, Mariah Stanley, Zhennan Zhou , et al. · 2023

Well-intentioned users sometimes enable the spread of misinformation due to limited context about where the information originated and/or why it is spreading. Building upon recommendations based on prior research about tackling misinformat…

Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations Open

Andrea L. Hartzler, Serena Jinchen Xie, Patrick Wedgeworth, Carolin Spice, Kevin Lybarger , et al. · 2023

Identifying patients’ social needs is a first critical step to address social determinants of health (SDoH)—the conditions in which people live, learn, work, and play that affect health. Addressing SDoH can improve health outcomes, populat…

Implementation Fidelity of Chatbot Screening for Social Needs: Acceptability, Feasibility, Appropriateness Open

Raina Langevin, Andrew Berry, Jinyang Zhang, Callan Fockele, Layla Anderson , et al. · 2023

Objectives Patient and provider-facing screening tools for social determinants of health have been explored in a variety of contexts; however, effective screening and resource referral remain challenging, and less is known about how patien…

Association between Risk Communication Format and Perceived Risk of Adverse Events after COVID-19 Vaccination among US Adults Open

Joshua E. Rosen, Sylvia Chang, Spencer Williams, Joy S. Lee, DaHee Han , et al. · 2023

The format used to communicate probability—verbal versus numerical descriptors—can impact risk perceptions and behaviors. This issue is salient for the Coronavirus disease 2019 (COVID-19), where concerns about vaccine-related risks may red…

Author Correction: Meta-summaries effective for improving awareness and understanding of COVID-19 vaccine safety research Open

Spencer T. Williams, Joy Lee, Brett A. Halperin, Joshua M. Liao, Gary Hsieh , et al. · 2023

Meta-summaries effective for improving awareness and understanding of COVID-19 vaccine safety research Open

Spencer T. Williams, Joy Lee, Brett A. Halperin, Joshua M. Liao, Gary Hsieh , et al. · 2022

Despite the efficacy, safety, and availability of COVID-19 vaccines, a lack of awareness and trust of vaccine safety research remains an important barrier to public health. The goal of this research was to design and test online meta-summa…

An HCI Research Agenda for Online Science Communication Open

Spencer Williams, Ridley Jones, Katharina Reinecke, Gary Hsieh · 2022

Social media, blogs, podcasts, and other computer-mediated communication technology have become an integral way for the public to access and engage with research. However, despite the evolving challenges researchers face navigating these p…

A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health Open

Elena Agapie, Patricia A. Areán, Gary Hsieh, Sean A. Munson · 2022

Goal setting is critical to achieving desired changes in life. Many technologies support defining and tracking progress toward goals, but these are just some parts of the process of setting and achieving goals. People want to set goals tha…

Making crafting visible while rendering labor invisible on the Etsy platform Open

Lubna Razaq, Beth Kolko, Gary Hsieh · 2022

Historically, crafts have been associated with women's small-scale creative production in the home, equated with hobbies or amateur production, and devalued in comparison to both art and industrial production. During its early years, Etsy …

Making Use of Derived Personality: The Case of Social Media Ad Targeting Open

Jilin Chen, Eben M. Haber, Ruogu Kang, Gary Hsieh, Jalal Mahmud · 2021

People’s social media text has been shown to have limited prediction power of their personality. In this work, we conducted a survey study and a field study to explore the feasibility of using predicted personality traits derived from soci…

The Effects of User Comments on Science News Engagement Open

Spencer Williams, Gary Hsieh · 2021

Online sources such as social media have become increasingly important for the proliferation of science news, and past research has shown that reading user-generated comments after an article (i.e. in typical online news and blog formats) …

Human values and digital citizen science interactions Open

Victoria Palacin, Maria Angela Ferrario, Gary Hsieh, Antti Knutas, Annika Wolff , et al. · 2021

Sustained participation is critical to the success of digital citizen-science initiatives, yet much of the current literature focuses on mapping people's motives to engage without considering the extent to which participation is sustained …

Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care Open

Jina Suh, Spencer Williams, Jesse R. Fann, James Fogarty, Amy M. Bauer , et al. · 2020

Depression is common but under-treated in patients with cancer, despite being a major modifiable contributor to morbidity and early mortality. Integrating psychosocial care into cancer services through the team-based Collaborative Care Man…

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