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Jaewon Choi

Hanyang University · 工学

研究室紹介

Professor Jaewon Choi's research lab specializes in advanced manufacturing technologies, particularly laser-based additive manufacturing processes such as Directed Material Deposition (DMD) and laser cladding. The lab focuses on modeling and optimizing fluid dynamics, heat transfer, and solidification phenomena to enhance process stability, part quality, and dimensional accuracy. Additionally, the lab explores human-computer interaction and digital marketing, investigating social presence, trust, and influencer-user relationships in online recommendation systems and e-commerce platforms. These interdisciplinary efforts bridge materials science, computational modeling, and behavioral informatics to advance smart manufacturing and personalized digital services.

laser claddingadditive manufacturingrecommender systemssocial presenceorganic product marketing

Research Overview

Papers
192
Total Citations
4,056
Papers (5y)
36
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
36total
2022
2023
2024
2025
2026
Citations per year (5y)
225total
20222023202420252026

Selected Papers

15
1
Article|310 citations·2011
Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
Jaewon Choi, Hyun‐Joo Oh, Hong-Jin Lee, Chang-Wook Lee, Saro Lee
SJR Q1Engineering Geology
Management, Monitoring, Policy and LawEnvironmental Science
2
Article|286 citations·2016
Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches
Jaewon Choi, Seongcheol Kim
SJR Q1Computers in Human Behavior
Information Systems and ManagementDecision Sciences
3
Article|188 citations·2004
Characteristics of laser aided direct metal/material deposition process for tool steel
Jaewon Choi, Young‐Fo Chang
SJR Q1International Journal of Machine Tools and Manufacture
Mechanical EngineeringEngineering
4
Article|156 citations·2011
The Influence of Social Presence on Customer Intention to Reuse Online Recommender Systems: The Roles of Personalization and Product Type
Jaewon Choi, Hong Joo Lee, Yongcheol Kim
SJR Q1International Journal of Electronic Commerce

Providing recommendations is acknowledged to be an important feature of a business-to-consumer online storefront. Although many studies have examined the algorithms and operational procedures relevant to personalized recommender systems, empirical evidence demonstrating relationships between social presence and two important outcomes of evaluating recommender systems—reuse intention and trust—remains lacking. To test the existence of a causal link between social presence and reuse intention, and

Information Systems and ManagementDecision Sciences
5
Article|101 citations·2009
Validation of an artificial neural network model for landslide susceptibility mapping
Jaewon Choi, Hyun-Joo Oh, Joong‐Sun Won, Saro Lee
SJR Q1Environmental Earth Sciences
Management, Monitoring, Policy and LawEnvironmental Science
6
Article|87 citations·2005
Modeling and Experiments of Laser Cladding With Droplet Injection
Jaewon Choi, Lijun Han, Ying Hua
Journal of Heat Transfer

Laser aided Directed Material Deposition (DMD) is an additive manufacturing process based on laser cladding. A full understanding of laser cladding is essential in order to achieve a steady state and robust DMD process. A two dimensional mathematical model of laser cladding with droplet injection was developed to understand the influence of fluid flow on the mixing, dilution depth, and deposition dimension, while incorporating melting, solidification, and evaporation phenomena. The fluid flow in

Mechanical EngineeringEngineering
7
Article|70 citations·2013
The influence of national culture on the attitude towards mobile recommender systems
Jaewon Choi, Hong Joo Lee, Hong Joo Lee, Farhana Sajjad, Habin Lee, Habin Lee
SJR Q1Technological Forecasting and Social Change
Sociology and Political ScienceSocial Sciences
8
Article|54 citations·2022
The Importance of Social Influencer-Generated Contents for User Cognition and Emotional Attachment: An Information Relevance Perspective
Xiuping Zhang, Jaewon Choi
SJR Q1SustainabilityOA

It has become a marketing trend for marketers to use influencers to advertise and sell products because influencers can affect the attitudes and decision-making of other social media users. Most previous research on influencer marketing has concentrated on its effectiveness as a promotional tool. In contrast, there have been limited studies on the influencer-social media user relationship. The relationship that influencers have with other social media users is the foundation for the success of i

Sociology and Political ScienceSocial Sciences
9
Article|47 citations·2020
The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews
Fang Lyu, Jaewon Choi
SJR Q1SustainabilityOA

The purpose of this study was to predict the online sales volume for organic products, identify important factors for selling organic products, and suggest web marketing strategies for organic product sales. Through the review of organic products on Taobao’s platform, the emotional analysis method is used to divide the review of crawling organic products into positive reviews and negative reviews. Using the Latent Dirichlet Allocation (LDA) method, extracting keywords, identifying important fact

Sociology and Political ScienceSocial Sciences
10
Article|46 citations·2002
Numerical and experimental analysis for solidification and residual stress in the GMAW process for AISI 304 stainless steel
Jaewon Choi, J. Mazumder
SJR Q1Journal of Materials ScienceOA
Mechanical EngineeringEngineering
11
Article|35 citations·2017
Examining the effects of personalized App recommender systems on purchase intention: A self and social-interaction perspective
Jaewon Choi, Hong Joo Lee, Hee Woong Kim
SJR Q1Journal of electronic commerce research

(ProQuest: ... denotes formulae omitted.)1.IntroductionThe emergence of user-based Web services and personalization technologies has allowed many companies to provide personalized content or services to users [Hill and Troshani 2010] and business intelligence [Foshay and Kuziemsky 2014; McBride 2014]. User-based Web services and personalization technologies refer to Web services and technologies that employ personal user information. Rapid improvements in Web, mobile facilities, and services hav

Sociology and Political ScienceSocial Sciences
12
Article|23 citations·2004
Dimensional and material characteristics of direct deposited H13 tool steel by CO2 laser
Jaewon Choi, Ying Hua
SJR Q3Journal of Laser Applications

Laser aided direct metal/material deposition process builds metal parts layer-by-layer directly from the computer aided design representation. Success of this technology in the die and tool industry depends on the parts quality to be achieved. To get designed geometric dimensions and material properties, delicate control of the process variables such as laser power, spot diameter, traverse speed, and powder mass flow rate is critical. With a closed loop optical height control system, the dimensi

Mechanical EngineeringEngineering
13
Article|17 citations·2002
Process and Properties Control in Laser Aided Direct Metal/Materials Deposition Process
Jaewon Choi
Manufacturing

Laser aided direct metal/material deposition (DMD) process, one of the technologies based on laser cladding, has demonstrated the ability to make a metal component directly from a 3-D CAD model. DMD process is achieved with a laser system combined with a NC machine tool or laser-robot system. Making metallic parts directly, designer can reduce unnecessary steps such as mock-up and molding. In the sense, DMD process is rather a rapid production technique than a rapid prototyping process. With con

Mechanical EngineeringEngineering
14
Article|16 citations·2023
Does social capital matter to the Millennials? Social capital and user engagements in online video platforms
Jaewon Choi, Sooyeon Hong, Junghwan Kim
SJR Q1Telematics and Informatics
CommunicationSocial Sciences
15
Article|13 citations·2019
LpGL
Jaewon Choi, Hyeonjung Park, Jeongyeup Paek, Rajesh Krishna Balan, JeongGil Ko

We present LpGL, an OpenGL API compatible Low-power Graphics Library for energy efficient AR headset applications. We first characterize the power consumption patterns of a state of the art AR headset, Magic Leap One, and empirically show that its internal GPU is the most impactful and controllable energy consumer. Based on the preliminary studies, we design LpGL so that it uses the device's gaze/head orientation information and geometry data to infer user perception information, intercepts appl

Human-Computer InteractionComputer Science

Research Areas

Sociology and Political ScienceMechanical EngineeringInformation Systems and ManagementManagement, Monitoring, Policy and LawInformation SystemsMarketing

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