27 citations · 82 across the 13 of their papers we have counts for
13 papers
ReFinE: Streamlining UI Mockup Iteration with Research Findings
Donghoon Shin, Bingcan Guo, Jaewook Lee +2
Although HCI research papers offer valuable design insights, designers often struggle to apply them in design workflows due to difficulties in finding relevant literature, understa…
Not Another EHR: Reimagining Physician Information Needs with Generative AI Technology
Ruican Zhong, Jiachen Li, Gary Hsieh +15
Electronic health records (EHRs) have improved data accessibility but have also introduced cognitive burden for physicians, given the sheer volume and complexity of the data involv…
PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication
Meziah Ruby Cristobal, Hyeonjeong Byeon, Tze-Yu Chen +5
The dissemination of scholarly research is critical, yet researchers often lack the time and skills to create engaging content for popular media such as short-form videos. To addre…
Synthetic Cognitive Walkthrough: Aligning Large Language Model Performance with Human Cognitive Walkthrough
Ruican Zhong, David W. McDonald, Gary Hsieh
Conducting usability testing like cognitive walkthrough (CW) can be costly. Recent developments in large language models (LLMs), with visual reasoning and UI navigation capabilitie…
PosterMate: Audience-driven Collaborative Persona Agents for Poster Design
Donghoon Shin, Daniel Lee, Gary Hsieh +1
Poster designing can benefit from synchronous feedback from target audiences. However, gathering audiences with diverse perspectives and reconciling them on design edits can be cha…
Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation
Ruican Zhong, David W. McDonald, Gary Hsieh
Usability evaluation is crucial in human-centered design but can be costly, requiring expert time and user compensation. In this work, we developed a method for synthetic heuristic…
Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
Ruoxi Shang, Gary Hsieh, Chirag Shah
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 w…
From Paper to Card: Transforming Design Implications with Generative AI
Donghoon Shin, Lucy Lu Wang, Gary Hsieh
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…
AI-Assisted Causal Pathway Diagram for Human-Centered Design
Ruican Zhong, Donghoon Shin, Rosemary Meza +3
This paper explores the integration of causal pathway diagrams (CPD) into human-centered design (HCD), investigating how these diagrams can enhance the early stages of the design p…
Speech as Interactive Design Material (SIDM): How to design and evaluate task-tailored synthetic voices?
Mateusz Dubiel, Matthew Aylett, Anuschka Schmitt +3
The aim of this workshop is two-fold. First, it aims to establish a research community focused on design and evaluation of synthetic speech (TTS) interfaces that are tailored not o…
Comparing Large Language Model AI and Human-Generated Coaching Messages for Behavioral Weight Loss
Zhuoran Huang, Michael P. Berry, Christina Chwyl +3
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 languag…
PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational Agent
Donghoon Shin, Gary Hsieh, Young-Ho Kim
Creating personalized and actionable exercise plans often requires iteration with experts, which can be costly and inaccessible to many individuals. This work explores the capabili…
Supporting Answerers with Feedback in Social Q&A
John Frens, Erin Walker, Gary Hsieh
Prior research has examined the use of Social Question and Answer (Q&A) websites for answer and help seeking. However, the potential for these websites to support domain learning h…