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Youjeong Oh

Korea University · Social Sciences

About the Lab

Professor Youjeong Oh's research lab specializes in human-centered artificial intelligence, with a focus on developing and evaluating AI chatbots for behavioral health interventions—particularly in physical activity promotion, healthy eating, and weight management. The lab integrates principles from psychology, linguistics, and human-computer interaction to design relational AI systems that enhance user engagement, self-efficacy, and behavior change. A key research direction involves leveraging real-time, longitudinal data collection to understand dynamic psychological and behavioral processes in naturalistic settings.

AI chatbotsbehavioral healthrelational AIself-efficacydigital interventions

Research Overview

Papers
81
Total Citations
1,009
Papers (5y)
49
Primary Field
Social Sciences

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
49total
2022
2023
2024
2025
2026
Citations per year (5y)
147total
20222023202420252026

Selected Papers

15
1
Review|267 citations·2021
A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss
Yoo Jung Oh, Jingwen Zhang, Min-Lin Fang, Yoshimi Fukuoka
SJR Q1International Journal of Behavioral Nutrition and Physical ActivityOA

BACKGROUND: This systematic review aimed to evaluate AI chatbot characteristics, functions, and core conversational capacities and investigate whether AI chatbot interventions were effective in changing physical activity, healthy eating, weight management behaviors, and other related health outcomes. METHODS: In collaboration with a medical librarian, six electronic bibliographic databases (PubMed, EMBASE, ACM Digital Library, Web of Science, PsycINFO, and IEEE) were searched to identify relevan

Applied PsychologyPsychology
2
Article|25 citations·2019
Understanding location-based service application connectedness: Model development and cross-validation
Yoo Jung Oh, Hee Sun Park, Young Min
SJR Q1Computers in Human Behavior
Information Systems and ManagementDecision Sciences
3
Article|6 citations·2025
Enhancing physical activity through a relational artificial intelligence chatbot: A feasibility and usability study
Yoo Jung Oh, Kai-Hui Liang, Diane Dagyong Kim, Xuanming Zhang, Zhou Yu, Yoshimi Fukuoka, Jingwen Zhang
SJR Q2Digital HealthOA

Objective: This study presents a pilot randomized controlled trial to assess the usability, feasibility, and initial efficacy of a mobile app-based relational artificial intelligence (AI) chatbot (Exerbot) intervention for increasing physical activity behavior. Methods: The study was conducted over a 1-week period, during which participants were randomized to either converse with a baseline chatbot without relational capacity (control group) or a relational chatbot using social relational commun

Applied PsychologyPsychology
4
Review|5 citations·2020
The Artificial Intelligence (AI)-Based Chatbot for Promoting Physical Activity and Healthy Diet: Protocol for a Systematic Review
Yoo Jung Oh, Jingwen Zhang, Min-Lin Fang, Yoshimi Fukuoka
Research SquareOA
General Health ProfessionsHealth Professions
5
Article|4 citations·2023
A Novel Approach to Assess Weekly Self-efficacy for Meeting Personalized Physical Activity Goals Via a Cellphone: 12-Week Longitudinal Study
Yoo Jung Oh, Thomas J. Hoffmann, Yoshimi Fukuoka
SJR Q2JMIR Formative ResearchOA

BACKGROUND: Despite the health benefits of engaging in regular physical activity (PA), the majority of American adults do not meet the PA guidelines for aerobic and muscle-strengthening activities. Self-efficacy, the belief that one can execute specific actions, has been suggested to be a strong determinant of PA behaviors. With the increasing availability of digital technologies, collecting longitudinal real-time self-efficacy and PA data has become feasible. However, evidence in longitudinal r

PhysiologyMedicine
6
Article|3 citations·2017
중국어의 비(非)화제 주어 (1)
오유정

Li & Thompson(1976)에 따라 많은 학자들이 중국어를 화제 부각형 언어로 분류한다. 하지만 일부 학자들은 여전히 중국어의 주어를 화용적 화제로 이해하고, 심지어 중국어에는 통사적 주어는 없고, 오직 화용적 화제만 존재한다고 주장한다. 본고는 통사, 정보구조, 운율적 특징 및 범언어적 비교를 통해 최소한 1) 주어가 대조초점인 경우 2) 주어가 정보초점인 경우 3) 주어가 문장 초점문에 사용된 경우 4) 주어가 초점 운용자의 결속을 받는 경우 5) 비한정 주어문일 경우 6) 신정보 주어문일 경우 7) 최소 양화 주어문일 경우에는 주절의 주어가 화제가 아니며, 특히 종속절에서는 그러한 경우가 더욱 많음을 주장한다. 중국어의 주어와 화제는 많은 공통점을 가지지만 엄연히 독립적인 통사 성분인 것이다. 나아가 범언어적 관점에서 주어와 화제의 관계를 살피고, 이를 통해 주어의 원형은 행위자라는 관점을 지지한다. 주어는 행위자 원형을 중심으로 다양한 의미역으로 확대될 수 있으나, 그

7
Article|2 citations·2020
Talking With the 'Hermit Regime'| What’s Going on in the Korean Peninsula? A Study on Perception and Influence of South and North Korea-Related Fake News
Yoo Jung Oh, Ji Youn Ryu, Hee Sun Park
SJR Q2SHILAP Revista de lepidopterologíaOA

Fake news, which contains false information to deceive audiences, may potentially influence inter-Korean relations. Two studies probe into South Koreans’ experience of and reaction to fake news exposure, and their ability to distinguish fake news from real news. Study 1 reveals that people have negative attitudes for fake news and perceive its impact to be greater on others than on themselves. Study 2 tests hypotheses based on the third-person effect (TPE) and the first-person effect (FPE), disc

Sociology and Political ScienceSocial Sciences
8
Article|2 citations·2022
0093 Efficacy of a Chatbot-Based Sleep Intervention on Sleep Quality Improvement among Young Adults
Yoo Jung Oh, Jingwen Zhang, Xiaopeng Ji, Wang Liao, Bo Feng
SJR Q1SLEEPOA

Abstract Introduction Insufficient sleep duration and poor sleep quality are prevalent in adolescents and young adults. Artificial-intelligent agents such as chatbots have been integrated into digital health interventions to support symptom management and promote health behaviors. This pilot study tested the efficacy of a sleep advice chatbot in young adults with self-reported sleep disturbances. Methods Young adults aged 18 to 28, who scored 55 and above (t-score) on the PROMIS Sleep Disturbanc

Experimental and Cognitive PsychologyPsychology
9
Article|2 citations·2026
Leveraging Artificial Intelligence Chatbots to Employ Bypassing and Correction Strategies for Addressing Misinformation About Contraceptive Use
Christopher Calabrese, Haoning Xue, X. Zhang, Yoo Jung Oh
SJR Q1Science Communication

We examined whether bypassing and combined (correction with bypassing) strategies delivered through artificial intelligence (AI) chatbots can address contraceptive misinformation. In Study 1, we found through observational reddit data that bypassing, correction, and combined strategies were present in online discussions and were more engaging than other responses. In Study 2, an experiment employing AI chatbots found that the combined strategy improved recommendation intentions compared with the

Sociology and Political ScienceSocial Sciences
10
Article|2 citations·2017
동결식과 진행상의 공기: 상 윤곽 및 상적 해석의 개념을 바탕으로
오유정

Verb-Resultative compound(VRC),which has an end-point and has no progress phase, is generally considered to be an achievement type according to Vendler(1967)’s 4-situation aspectual types, and only can co-occur with perfective viewpoint aspect, not with imperfective viewpoint aspect. However, there are various examples that VRC co-occurs with imperfective aspect, especially with ZhengZai(正在), Zai(在). Croft(2012) considers that situation aspectual type of a predicate is not fixed, but possesses t

11
Article|2 citations·2019
‘有’자문의 정보 구조에 대한 소고 ― ‘有+NP+VP’를 중심으로
오유정

According to Lambrecht (1994[2000]), presentational construction introduces a new referent into discourse, through promoting the referent from ‘non-activation state’ to ‘activation state’ based on ‘topic acceptability scale’. Additionally, this active referent can be used in subsequent discourse as a ‘topic’. This can account for various aspects of the ‘You(有)+NP+VP’ subject-less constructions in Chinese. First, the NP of the presentational construction can be approved according to the ‘topic ac

12
Article|2 citations·2017
후치 부사어 구문 V得C ― 이차 술어 구문 동결식(VC)과의 비교를 중심으로
오유정

The second predicates of verb resultative construction(VC) and de construction (VdeC), which are mostly adjectives, have been considered as buyu(補語) which express ‘result’ in Chinese. In this paper, however, I will argue that the buyu in these two constructions actually behave differently, specifically, the buyu of the de construction doesn’t really express ‘result’, but behaves like an adverbial modifier. From the perspective of the typology, there are two concepts that have similarities semant

13
Article|2 citations·2018
중국어의 비(非)화제 주어 (2)
오유정

Li & Thompson(1976)에 따라 많은 학자들이 중국어를 화제 부각형 언어로 분류한다. 하지만 일부 학자들은 여전히 중국어의 주어를 화용적 화제로 이해하고, 심지어 중국어에는 통사적 주어는 없고, 오직 화용적 화제만 존재한다고 주장한다. 본고는 통사, 정보구조, 운율적 특징 및 범언어적 비교를 통해 최소한 1) 주어가 대조초점인 경우 2) 주어가 정보초점인 경우 3) 주어가 문장 초점문에 사용된 경우 4) 주어가 초점 운용자의 결속을 받는 경우 5) 비한정 주어문일 경우 6) 신정보 주어문일 경우 7) 최소 양화 주어문일 경우에는 주절의 주어가 화제가 아니며, 특히 종속절에서는 그러한 경우가 더욱 많음을 주장한다. 중국어의 주어와 화제는 많은 공통점을 가지지만 엄연히 독립적인 통사 성분인 것이다. 나아가 범언어적 관점에서 주어와 화제의 관계를 살피고, 이를 통해 주어의 원형은 행위자라는 관점을 지지한다. 주어는 행위자 원형을 중심으로 다양한 의미역으로 확대될 수 있으나, 그

14
Article|2 citations·2025
Trust in AI Doctors: How Credibility and Message Richness in AI‐Based Providers Influence Patient Adherence
Yoo Jung Oh, Ji Youn Ryu, Junhyung Han, Sooyeon Park, Jong In Lim, Sungbin Youk, Hee Sun Park
SJR Q3Advances in Human-Computer InteractionOA

To examine if artificial intelligence (AI) has the potential to complement human health providers in telemedicine, this experiment tests different factors that may affect patients’ intention to adhere to prescriptions. Participants ( N = 261) were randomly assigned to one of 12 conditions: 2 (doctor type: human vs. AI) × 2 (illness severity: high vs. low) × 3 (message richness: text‐only prescription vs. with audio vs. with audiovisual). They were then asked to indicate their perceived credibili

Health InformaticsMedicine
15
Article|1 citations·2025
Boosting Organ Donation Self-Efficacy Through AI-Generated Health Messaging: The Differential Impacts of “Why” vs. “How” Messaging and Media Modality
Yoo Jung Oh, Sooyeon Park, Ji Youn Ryu
SJR Q1Health Communication

Informed by construal level theory, this study used AI-generated health messages to examine how feasibility ("how") versus desirability ("why") framing, in either text or audiovisual modalities, influenced self-efficacy and organ donation sign-up intentions for individuals at different stages of behavior change. Results indicated that feasibility messages significantly boosted self-efficacy, especially among those who had not yet formed an intention, while media modality alone showed no signific

Applied PsychologyPsychology

Research Areas

Sociology and Political ScienceApplied PsychologyArtificial IntelligenceHealthHealth InformaticsLanguage and Linguistics

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