Diane Dagyong Kim

ORCID: 0009-0003-7174-9684
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About
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Research Areas
  • Digital Mental Health Interventions
  • AI in Service Interactions
  • Optimism, Hope, and Well-being
  • Magnetic and transport properties of perovskites and related materials
  • Health disparities and outcomes
  • Technology Use by Older Adults
  • Ethics and Social Impacts of AI
  • Injury Epidemiology and Prevention
  • Mobile Health and mHealth Applications
  • Iron-based superconductors research
  • Artificial Intelligence in Healthcare and Education
  • Advanced Condensed Matter Physics

University of California, Davis
2025

Arizona State University
2015

<sec> <title>BACKGROUND</title> Artificial intelligence (AI) chatbots, driven by advances in natural language processing (NLP), can analyze and generate human through computational linguistics machine learning. Despite the rapid development of large models, little investigation has been conducted to assess whether AI chatbot-delivered educational conversation achieve a similar level efficacy as human-delivered conversation. </sec> <title>OBJECTIVE</title> To evaluate compare potential versus...

10.2196/preprints.73184 preprint EN cc-by 2025-02-26

Heart disease is the leading cause of death (LCOD) for women in United States. However, despite decades public health campaigns, awareness heart among women, especially those with racial/ethnic minority backgrounds and young significantly declined from 2009 to 2019. The aim this study was compare differences as LCOD Black, Hispanic, White, Asian/Other groups. In cross-sectional, online survey study, 422 community-dwelling were analyzed. categorized correct answer. We implemented log-linear...

10.1016/j.hrtlng.2025.02.007 article EN cc-by Heart & Lung 2025-03-01

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

10.1177/20552076251324445 article EN cc-by-nc-nd Digital Health 2025-01-01

<sec> <title>BACKGROUND</title> With the rapid advancement of artificial intelligence (AI) technologies in healthcare field, AI chatbots are advantageous options for improving knowledge and awareness diseases modifying health behaviors diverse populations. However, people’s understanding is still developing, factors influencing perception human-AI interaction largely unknown. </sec> <title>OBJECTIVE</title> To identify characteristics related to believing an chatbot as a human versus agent,...

10.2196/preprints.67717 preprint EN cc-by 2024-10-29

In this paper, the Andreev reflection method which employs magnetic materials with various spin polarization has been used to study superconductivity of SmO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.82</sub> F xmlns:xlink="http://www.w3.org/1999/xlink">0.18</sub> FeAs. It is shown that can be utilized measure Cooper pairs if a highly polarized current used.

10.1109/intmag.2015.7157085 article EN 2015 IEEE Magnetics Conference (INTERMAG) 2015-05-01
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