Kyungsik Han

schoolHanyang Universitybar_chart#858 Global Rank

Total Papers

HCI Rank

#858

Research Areas

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 '26CorrespondingHuman-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 '26CorrespondingAI 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…

CHI '25CorrespondingHuman-LLM Collaboration +1

"I Don’t Know Why I Should Use This App”: Holistic Analysis on User Engagement Challenges in Mobile Mental Health

Over the past decade, mobile apps have been widely adopted as a digital intervention method for mental health support, offering scalable and accessible solutions to address the growing global mental health challenges. However, sustaining user engagement in real-world settings remains a major challenge in the developme…

CSCW '24CorrespondingSession 2e: Echo Chambers and Fake News in Focus

HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System

Considerable efforts are currently underway to mitigate the negative impacts of echo chambers, such as increased susceptibility to fake news and resistance towards accepting scientific evidence. Prior research has presented the development of computer systems that support the consumption of news information from diver…

CHI '24CorrespondingCognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia) +1

Narrating Routines through Game Dynamics: Impact of a Gamified Routine Management App for Autistic Individuals

Maintaining a daily routine has profound implications for physical, emotional, and social well-being. Autistic individuals may experience various challenges in establishing and maintaining a healthy daily routine due to their tendency to be inactive in daily life combined with their characteristics and preferences. Pr…

UIST '23CorrespondingVR Medical Training & Rehabilitation +3

V-DAT (Virtual Reality Data Analysis Tool): Supporting Self-Awareness for Autistic People from Multimodal VR Sensor Data

Virtual reality (VR) has become a valuable tool for social and educational purposes for autistic people, as it provides flexible environmental support to create a variety of experiences. A growing body of recent research has examined the behaviors of autistic people using sensor-based data to better understand autisti…

CHI '23CorrespondingCognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia) +2

RoutineAid: Externalizing Key Design Elements to Support Daily Routines of Individuals with Autism

Implementing structure into our daily lives is critical for maintaining health, productivity, and social and emotional well-being. New norms for routine management have emerged during the current pandemic, and in particular, individuals with autism find it difficult to adapt to those norms. While much research has foc…

CHI '225th+ AuthorExplainable AI (XAI) +1

Prediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems for College Students' Mental Health

Reflecting on stress-related data is critical in addressing one’s mental health. Personal Informatics (PI) systems augmented by algorithms and sensors have become popular ways to help users collect and reflect on data about stress. While prediction algorithms in the PI systems are mainly for diagnostic purposes, few s…

CSCW '21CorrespondingCivic Engagement, Politics, and Polarization

ChamberBreaker: Mitigating the Echo Chamber Effect and Supporting Information Hygiene through a Gamified Inoculation System

Because of the increasingly negative impacts of the echo chamber effect, such as the dissemination of fake news and political polarization occurring in social networking services (SNSs), considerable efforts are being made to mitigate this effect. Prior HCI studies have presented the development of user interfaces to…

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