Yu-Jung Oh

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

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

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

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

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

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

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

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

The digital age has fueled a surge in ADHD self-diagnosis as people turn to online platforms for mental health information. However, the relationship between validation-seeking behaviors and self-perception in these online communities and users' self-perception has received limited scholarly focus. Drawing on self-verification theory and utilizing natural language processing to analyze 452,026 posts from the r/ADHD subreddit, our study uncovers distinct patterns in validation-seeking behaviors.

The COVID-19 pandemic resulted in an unprecedented reliance on information online, resulting in a phenomenon scholars have labeled an "infodemic." This resulted in the unabated spread of misinformation, which had severe consequences. This study investigated the psychological factors influencing belief in and engagement with COVID-19 misinformation. Utilizing survey data from the United States (N = 1005), we found that narcissism was positively associated with COVID-19 misinformation belief and e