Hanyang University

schoolSchoolbar_chart#198 Global Rank

Total Papers

HCI Rank

#198

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Years Active

Recent Publications

QuerySwitch: Supporting the Design Process by Balancing Vagueness through Large Language Models

Designers often regard vagueness as an essential aspect of creative work, as it fosters diverse interpretations and helps prevent fixation. Although large language models (LLMs) are increasingly viewed as a promising creative partner, designers struggle to productively incorporate vagueness into AI-supported workflows…

CHI '26Mental Health Apps & Online Support Communities +2

Recovery is Relational: Digital Support Needs for Patients and Supporters in Eating Disorder Recovery

Eating disorder (ED) recovery extends beyond therapy sessions, unfolding in vulnerable moments embedded in everyday life and relationships. Yet empirical understanding of how these moments arise, how supporters contribute, and how technologies might offer timely, contextual assistance remains limited. To address this…

CHI '26Computational Methods in HCI +3

Behavior-Aware Anthropometric Scene Generation for Human-Usable 3D Layouts

Well-designed indoor scenes should prioritize how people can act within a space rather than merely what objects to place. However, existing 3D scene generation methods emphasize visual and semantic plausibility, while insufficiently addressing whether people can comfortably walk, sit, or manipulate objects. To bridge…

CHI '26Human-LLM Collaboration +2

Criticmate: Stagewise Human-AI Co-Critique in UI Design through Situation Awareness

AI tools are increasingly used for UI evaluation, yet most treat evaluation as a single-pass, black-box process that limits both effective model reasoning and human involvement. Grounded in Situation Awareness (SA) theory, we reframe single-screen heuristic evaluation of mobile UIs as stagewise human--AI co-critique,…

CHI '26Human-Robot Collaboration (HRC) +2

Building Resilience in Human–Robot Collaboration: Affective and Cognitive Feedback from Robot for Human-Initiated Failure Handling

Human–robot collaboration increasingly frames robots as teammates rather than tools, yet there is limited guidance on how robots should respond when failures are attributed to the human collaborator. We investigate how robot collaborators should respond to support collaboration experience after a human-attributed fail…

CHI '26Human-LLM Collaboration +4

LAPS: Automating Hypothesis-Driven Statistical Analysis of Public Survey Using Large Language Models

Public surveys are indispensable resources for understanding social dynamics, yet their analysis often imposes a high cognitive load due to structural complexity. In this paper, we present LAPS, a Large Language Model (LLM)-assisted automated framework that supports end-to-end, hypothesis-driven statistical analysis o…

CHI '26Grief Support Technology +2

Oscillation Design in Online Pet Loss Support Groups: Understanding Motivations, Outcomes, and Challenges

Pet loss is a distressing experience often underappreciated by societal norms, leading to disenfranchised grief. We investigate how bereaved pet owners engage in online support groups, focusing on their motivations, interactions, and challenges. Through in-depth interviews with 18 participants, we identified key motiv…

CHI '26Game UX & Player Behavior +2

"What Keeps Fans on the Silent Field?": Understanding Lean-Back Football Fans via AI Sports Broadcasting in Non-Event Time

Modern media consumption habits challenge `lean-back' viewers—who prefer passive viewing—to stay engaged during the frequent periods of Non-Event Time in soccer matches. Existing commentary options often fail this audience, being either too dry or too interactive. To investigate their needs, we developed \textbf{ARUA}…

CHI '26AI Ethics, Fairness & Accountability +2

"Can LLMs Persuade Humans with Deception?": From a Deceptive Strategy Taxonomy to a Large-Scale Empirical Study

Beyond hallucinations, Large Language Models (LLMs) can craft deceptive arguments that erode users' critical thinking, posing a significant yet underexamined societal risk. To address this gap, we develop a taxonomy of eight deceptive persuasion strategies by integrating top-down rhetorical theory with a bottom-up ana…

IUI '25Force Feedback & Pseudo-Haptic Weight +2

To Guide or to Disturb - How to Teach Dexterous Skills Using AI?

Learning a skill is a complex cognitive task that requires processing multiple sensorimotor information. To help the skill learners, in this study, we explored and compared how to exploit AI wisely to teach skills. We set an initial target skill of engraving implemented on a haptic-audio-visual (HAV) VR environment. A…

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https://hci.top/en/institutions/Hanyang%20University?source=all

At a Glance

Institution Snapshot

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Hanyang University

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Location

South Korea · Asia

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Overall Rank

#198

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Total Papers

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Active Years

2018-2026

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50 researchers · 1 collaborators

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Top Research Directions

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AI & Machine Learning Interaction

Human-LLM Collaboration

Research Methods & Design Practice

Prototyping & User Testing

Creative Tools & Content Creation

Creative Collaboration & Feedback Systems

Virtual, Augmented & Mixed Reality (XR)

VR Medical Training & Rehabilitation

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities