Youjin Hwang

ORCID: 0000-0001-8000-4420
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About
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Research Areas
  • Innovative Human-Technology Interaction
  • Ergonomics and Musculoskeletal Disorders
  • Heat shock proteins research
  • Eating Disorders and Behaviors
  • Asian Culture and Media Studies
  • Impact of Technology on Adolescents
  • Persona Design and Applications
  • Gaze Tracking and Assistive Technology
  • Liver Disease Diagnosis and Treatment
  • AI in Service Interactions
  • Genetics, Aging, and Longevity in Model Organisms
  • Emotion and Mood Recognition
  • T-cell and Retrovirus Studies
  • Sexuality, Behavior, and Technology
  • RNA Research and Splicing
  • Digital Mental Health Interventions
  • Cognitive Computing and Networks
  • Histone Deacetylase Inhibitors Research
  • Advanced Text Analysis Techniques
  • Spaceflight effects on biology
  • Service and Product Innovation
  • Cell death mechanisms and regulation
  • Color perception and design
  • Safety Warnings and Signage
  • Genomics, phytochemicals, and oxidative stress

Seoul National University
2005-2022

Scope Brain‐derived neurotrophic factor (BDNF) is a neurotrophin that supports the survival of existing neurons and encourages growth differentiation new synapses. We investigated effect sulforaphane, hydrolysis product glucoraphanin present in Brassica vegetables, on neuronal BDNF expression its synaptic signaling pathways. Methods results Mouse primary cortical triple‐transgenic mouse model Alzheimer's disease (3 × Tg‐AD) were used to study sulforaphane. Sulforaphane enhanced increased...

10.1002/mnfr.201600194 article EN Molecular Nutrition & Food Research 2016-10-14

Emotional eating (EE) is one of the most significant symptoms various disorders. It has been difficult to collect a large amount behavioral data on EE; therefore, only partial studies this symptom have conducted. To provide adequate support for online social media users with EE, we must understand their behavior patterns design sophisticated personalized system (PSS).This study aimed analyze emotional eaters as first step designing intervention system.The machine learning (ML) framework and...

10.2196/15700 article EN cc-by Journal of Medical Internet Research 2019-12-16

Prolonged time of computer use increases the prevalence ocular problems, including eye strain, tired eyes, irritation, redness, blurred vision, and double which are collectively referred to as vision syndrome (CVS). Approximately 70% users have vision-related problems. For these reasons, properly designed interventions for with CVS required. To design an effective screen intervention preventing or improving CVS, we must understand interfaces computer-based interventions.In this study, aimed...

10.2196/22099 article EN cc-by Journal of Medical Internet Research 2021-02-25

Food craving is one of the fundamental desires human nature. Many HCI researchers used to define this desire as a problem and has developed its corrective technology. However, positive aspects food reward rarely been in scope research. Few studies made efforts evaluate how positively interacts with mental humans but have shown inconsistent results because user subjectivity environmental variations. Therefore, we evaluated human-food interactions an EEG objective indicator track activity. We...

10.1145/3279954.3279958 article EN 2018-10-16

The lack of reliable, personalized information often complicates sexual violence survivors' support-seeking. Recently, there is an emerging approach to conversational systems for support-seeking survivors, featuring personalization with wide availability and anonymity. However, a single best solution might not exist as survivors have different needs purposes in seeking support channels. To better envision we explore trade-offs designing such systems. We implement high-fidelity prototype...

10.1145/3491102.3517484 article EN CHI Conference on Human Factors in Computing Systems 2022-04-28

As artificial intelligence (AI) technologies advance, the possibility of developing virtual agents capable mimicking human beings is increasing. Furthermore, AI techniques applicable to certain features a specific person (e.g., facial expression, voice, motion) are becoming more sophisticated. Although HCI community has explored how design or develop real person, limited studies on someone's text-based behavior shown in instant messaging exist. This study investigates that make users...

10.1145/3406324.3410723 article EN 2020-10-05

Conversational agents have been showing lots of opportunities in healthcare by taking over a lot tasks that used to be done human. One the major functions conversational agent is intervening users' daily behaviors. In this case, forming an intimate and trustful relationship with users one issues. Factors affecting human-agent should deeply explored improve long-term acceptance agent. Even though bunch ideas researches suggested increase healthcare, challenges still remain. From preliminary...

10.48550/arxiv.2109.01729 preprint EN cc-by arXiv (Cornell University) 2021-01-01

<sec> <title>BACKGROUND</title> Emotional eating (EE) is one of the most significant symptoms various disorders. It has been difficult to collect a large amount behavioral data on EE; therefore, only partial studies this symptom have conducted. To provide adequate support for online social media users with EE, we must understand their behavior patterns design sophisticated personalized system (PSS). </sec> <title>OBJECTIVE</title> This study aimed analyze emotional eaters as first step...

10.2196/preprints.15700 preprint EN 2019-07-31

<sec> <title>BACKGROUND</title> Prolonged time of computer use increases the prevalence ocular problems, including eye strain, tired eyes, irritation, redness, blurred vision, and double which are collectively referred to as vision syndrome (CVS). Approximately 70% users have vision-related problems. For these reasons, properly designed interventions for with CVS required. To design an effective screen intervention preventing or improving CVS, we must understand interfaces computer-based...

10.2196/preprints.22099 preprint EN 2020-10-05
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