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홍화정 교수

Hwajung Hong

KAIST 디지털인문사회과학부 · 컴퓨터과학

연구실 소개

홍화정 교수의 연구실은 인공지능과 인간 중심의 디자인을 융합하여 정신건강 지원, 자립 지원, 지속가능성 행동 유도, 온라인 기부 신뢰 구축, 정서 추적 기술 등 다양한 사회적 문제를 기술적 솔루션으로 해결하고자 합니다. 특히 자폐증을 가진 청소년의 자립을 돕는 사회적 네트워크 기반 기기, 정서 추적을 위한 신체적 상호작용 기반 도구, 정서적 건강을 위한 대화형 AI 앱 등 실생활 적용에 초점을 맞춘 혁신적인 기술 개발을 선도하고 있습니다. 연구는 임상 전문가와의 긴밀한 협업을 기반으로 하며, 사용자 중심의 설계와 실제 환경에서의 실증적 평가를 통해 실천 가능성을 검증합니다.

정신건강 기술자립 지원 시스템정서 추적대화형 AI지속가능 행동 유도

연구 현황

논문 수
133
총 인용 수
1,671
최근 5년 논문
88
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
88총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
592총합
20222023202420252026

주요 논문

15
1
논문|인용수 82·2018
Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions
Uichin Lee, Kyungsik Han, Hyunsung Cho, Kyong‐Mee Chung, Hwajung Hong, Sung-Ju Lee, Youngtae Noh, Soo‐Young Park, John M. Carroll
SJR Q1Ad Hoc Networks
Applied PsychologyPsychology
2
논문|인용수 81·2012
Designing a social network to support the independence of young adults with autism
Hwajung Hong, Jennifer G. Kim, Gregory D. Abowd, Rosa I. Arriaga

Independence is key to a successful transition to adulthood for individuals with autism. Social support is a crucial factor for achieving adaptive self-help life skills. In this paper we describe the results of a formative design exercise with young adults with autism and their caregivers to uncover opportunities for social networks to promote independence and facilitate coordination. We propose the concept of SocialMirror, a device connected to an online social network that allows the young adu

Cognitive NeuroscienceNeuroscience
3
논문|인용수 77·2010
Design requirements for ambient display that supports sustainable lifestyle
Tanyoung Kim, Hwajung Hong, Brian Magerko

People are ready to change themselves to adopt more eco-friendly habits such as conserving electricity when they are aware of the possible problems of their lifestyle. In this sense, ambient display, which users experience occasionally without its interfering with their primary tasks, is well suited to provide the feedback of their personal activities in a more subtle manner than direct information presentation. We present the results of user studies with two ambient displays in different visual

Human-Computer InteractionComputer Science
4
논문|인용수 72·2024
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
Taewan Kim, S. Sandra Bae, Hyun Ah Kim, S.H. Lee, Hwajung Hong, Chan-Mo Yang, Young‐Ho Kim
OA

Large Language Models (LLMs) offer promising opportunities in mental health domains, although their inherent complexity and low controllability elicit concern regarding their applicability in clinical settings. We present MindfulDiary, an LLM-driven journaling app that helps psychiatric patients document daily experiences through conversation. Designed in collaboration with mental health professionals, MindfulDiary takes a state-based approach to safely comply with the experts’ guidelines while

Social PsychologyPsychology
5
논문|인용수 66·2016
The Power of Collective Endorsements
Jennifer G. Kim, Ha‐Kyung Kong, Karrie Karahalios, Wai‐Tat Fu, Hwajung Hong

Traditional medical fundraising charities have been relying on third-party watchdogs and carefully crafting their reputation over time to signal their credibility to potential donors. As medical fundraising campaigns migrate to online platforms in the form of crowdfunding, potential donors can no longer rely on the organization's traditional methods for achieving credibility. Individual fundraisers must establish credibility on their own. Potential donors, therefore, seek new factors to assess t

Management Information SystemsBusiness, Management and Accounting
6
논문|인용수 62·2017
Designing for Self-Tracking of Emotion and Experience with Tangible Modality
Kwangyoung Lee, Hwajung Hong

Self-tracking technologies have been developed to understand the self. Emotions are critical to understanding one's daily life; however, tracking the emotion is challenging due to the implicit form of data. In this paper, we introduce MindTracker, an approach for tracking emotion through a tangible interaction with plasticine clay. We explored the benefits and challenges of MindTracker via a two-week data collection study with 16 college students as well as via interviews with three clinical men

Human-Computer InteractionComputer Science
7
preprint|인용수 60·2023
RECIPE: How to Integrate ChatGPT into EFL Writing Education
Jieun Han, Haneul Yoo, Yoonsu Kim, Junho Myung, Minsun Kim, Hyunseung Lim, Juho Kim, Tak Yeon Lee, Hwajung Hong, So-Yeon Ahn, Alice Oh
OA

The integration of generative AI in the field of education is actively being explored. In particular, ChatGPT has garnered significant interest, offering an opportunity to examine its effectiveness in English as a foreign language (EFL) education. To address this need, we present a novel learning platform called RECIPE (Revising an Essay with ChatGPT on an Interactive Platform for EFL learners). Our platform features two types of prompts that facilitate conversations between ChatGPT and students

Health InformaticsMedicine
8
논문|인용수 57·2021
Exploring the Use of a Voice-based Conversational Agent to Empower Adolescents with Autism Spectrum Disorder
Inha Cha, Sung In Kim, Hwajung Hong, Hee‐Jeong Yoo, Youn-kyung Lim

Voice-based Conversational Agents (VCA) have served as personal assistants that support individuals with special needs. Adolescents with Autism Spectrum Disorder (ASD) may also benefit from VCAs to deal with their everyday needs and challenges, ranging from self-care to social communications. In this study, we explored how VCAs could encourage adolescents with ASD in navigating various aspects of their daily lives through the two-week use of VCAs and a series of participatory design workshops. O

Artificial IntelligenceComputer Science
9
논문|인용수 52·2024
Unlock Life with a Chat(GPT): Integrating Conversational AI with Large Language Models into Everyday Lives of Autistic Individuals
Dasom Choi, Sunok Lee, Sung-In Kim, Kyungah Lee, Hee Jeong Yoo, Sangsu Lee, Hwajung Hong
OA

Autistic individuals often draw on insights from their supportive networks to develop self-help life strategies ranging from everyday chores to social activities. However, human resources may not always be immediately available. Recently emerging conversational agents (CAs) that leverage large language models (LLMs) have the potential to serve as powerful information-seeking tools, facilitating autistic individuals to tackle daily concerns independently. This study explored the opportunities and

Cognitive NeuroscienceNeuroscience
10
book chapter|인용수 44·2010
Designing for Persuasion: Toward Ambient Eco-Visualization for Awareness
Tanyoung Kim, Hwajung Hong, Brian Magerko
SJR Q2Lecture notes in computer science
Human-Computer InteractionComputer Science
11
논문|인용수 43·2019
Toward Becoming a Better Self
Sung In Kim, Eunkyung Jo, Myeonghan Ryu, Inha Cha, Young-Ho Kim, Heejung Yoo, Hwajung Hong

Adolescence is a challenging period, particularly for individuals with autism spectrum disorder (ASD), due to having little knowledge about themselves. Self-management is a strategy to enhance self-understanding through continuous self-monitoring, which can support adaptive transitions to adulthood. Meanwhile, the advent of digital self-tracking tools enables users to collect and reflect on data about themselves. In this work, we investigated how adolescents with ASD kept track of their everyday

Human-Computer InteractionComputer Science
12
논문|인용수 41·2018
MindNavigator
Kwangyoung Lee, Hwajung Hong

Mental wellness is a desirable health outcome for students. However, current personal informatics systems do not adequately support students in creating concrete mental health-related goals and turning them into actionable plans. In this paper, we introduce MindNavigator - a workshop in which groups of college students were invited to generate behavioral change goals to manage daily life stress and practice personalized interventions for two weeks. We describe the manner in which participants id

Human-Computer InteractionComputer Science
13
논문|인용수 38·2013
Investigating the use of circles in social networks to support independence of individuals with autism
Hwajung Hong, Svetlana Yarosh, Jennifer G. Kim, Gregory D. Abowd, Rosa I. Arriaga

Building social support networks is crucial both for less-independent individuals with autism and for their primary caregivers. In this paper, we describe a four-week exploratory study of a social network service (SNS) that allows young adults with autism to garner support from their family and friends. We explore the unique benefits and challenges of using SNSs to mediate requests for help or advice. In particular, we examine the extent to which specialized features of an SNS can engage users i

Information SystemsComputer Science
14
논문|인용수 37·2022
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems for College Students’ Mental Health
Tae‐Wan Kim, Haesoo Kim, Ha Yeon Lee, Hwarang Goh, Shakhboz Abdigapporov, Mingon Jeong, Hyunsung Cho, Kyungsik Han, Youngtae Noh, Sung-Ju Lee, Hwajung Hong
CHI Conference on Human Factors in Computing Systems

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 studies examine how the explainability of algorithmic prediction can support user-driven self-insight. To this end, we developed MindScope, an algorithm-assisted stress management sy

Applied PsychologyPsychology
15
논문|인용수 35·2015
In-group Questions and Out-group Answers
Hwajung Hong, Éric Gilbert, Gregory D. Abowd, Rosa I. Arriaga

Difficulty in navigating daily life can lead to frustration and decrease independence for people with autism. While they turn to online autism communities for information and advice for coping with everyday challenges, these communities may present only a limited perspective because of their in-group nature. Obtaining support from out-group sources beyond the in-group community may prove valuable in dealing with challenging situations such as public anxiety and workplace conflicts. In this paper

Computer Science ApplicationsComputer Science

대표 연구 분야

Human-Computer InteractionCognitive NeuroscienceSociology and Political ScienceApplied PsychologySocial PsychologyInformation Systems

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