About

Chanmi Gloria Hwang is an Assistant Professor in the Department of Textiles at NC State University, affiliated with the Wilson College of Textiles. Her research focuses on 3D apparel CAD, 3D body scanning, and user-centered analysis related to sustainable and inclusive apparel design. She teaches courses such as Computer-Aided Design (CAD) for Apparel and Fashion Design 2, contributing to the education of students in fashion and textile design. Dr. Hwang holds a Ph.D. in Apparel, Merchandising, and Design from Iowa State University, earned in 2017, and a B.F.A. in Fashion Design from the Fashion Institute of Technology. Her expertise encompasses fashion design, product development, and advanced digital technologies in apparel, aiming to innovate in the fields of fashion and textile technology.

Research topics

• Sociology
• Political Science
• Advertising
• Social psychology
• Business
• Computer Science
• Psychology
• Marketing
• Architectural engineering
• Materials science
• Engineering
• Law
• Manufacturing engineering
• Engineering drawing
• Geography
• Economics

Selected publications

• Classifying virtual reality fashion shows: from the perspective of user experience

  International Journal of Fashion Design Technology and Education · 2026-04-17

  article
  PublisherDOI

• Enhancing Sensory-Friendly Inclusive Fashion Design Education: A Toolkit-Based Approach

  Archives of Design Research · 2026-02-24

  articleOpen access

  Background : Fashion design has increasingly been criticized for its limited consideration of diversity and inclusivity, particularly regarding sensory needs (Abdel & Mohammed, 2015; Hallgrímsson, 2018). Sensory-Friendly Inclusive Fashion Design (SFIFD) has emerged as a methodological response, aiming to integrate sensory problem awareness, sensory integration, and sensory experience into the design process (Lee & Kim, 2020). Prior studies highlight that maintaining conceptual consistency throughout the design process is essential for achieving inclusive outcomes (Brown & Wyatt, 2010). Furthermore, toolkits have been shown to facilitate collaborative practices, to expand designers’ perspectives, and to enhance individual competencies, thereby improving the overall quality of inclusive design (Sanders & Stappers, 2014; Kim, 2021). Building on this foundation, the present study situates SFIFD within educational practice and examines how structured tools can support systematic implementation and foster more diverse and inclusive design approaches.<br/>Methods : This study aims to develop an SFIFD education prototype and an assistive toolkit through four stages: prototype and toolkit development, experimental application, analysis, and extraction of educational insights. Based on the inclusive fashion design model (Lee et al., 2024) and the 3C3R framework (Hung, 2006), two prototypes were created: one using a design spectrum toolkit and the other a conventional target-setting method. The toolkit, informed by Microsoft’s Inclusive Design Toolkit and Cambridge’s digital personas, incorporated physical, sensory, social, emotional, and environmental diversity. Experiments involved 20 senior-level students (10 U.S., 10 South Korea) divided into teams, guided by instructors and teaching assistants. Participants designed fashion items for users with diverse sensory needs, completed PIE (Problem, Intervention, Evaluation) self-checklists, and were evaluated through interviews and thematic analysis. Data were analyzed using the 3C3R framework and four-phase thematic analysis (Vaismoradi et al., 2016) to identify key educational insights.<br/>Results : The results showed significant differences between the two SFIFD prototypes. Type 1 (toolkit-based) consistently scored higher in addressing sensory problems, sensory integration, and sensory-friendly experiences, while Type 2 (conventional) was slightly stronger in considering users’ sensory issues. Participants evaluated the toolkit as useful for concept development, user needs reflection, and practical design outcomes. Thematic analysis revealed advantages such as diverse perspectives, detailed problem-solving, and enhanced collaboration, alongside challenges in researching medical aspects, integrating aesthetics, and specifying sensory contexts. Both prototypes highlighted the importance of balancing functional and aesthetic elements in SFIFD education.<br/>Conclusions : This study confirms the effectiveness of the SFIFD toolkit in guiding multi-perspective analysis, ensuring conceptual consistency, and supporting research, idea generation, and teamwork. The SFIFD process offers a valuable design experience, with the toolkit enhancing understanding of principles and application. Future research should expand participants, team diversity, and toolkit scope to advance SFIFD education and to foster broader adoption of inclusive design in fashion.

  PublisherDOI

• Exploring Inclusive Sportswear Design Strategies for Children with Developmental Disabilities

  2025-12-16

  articleOpen accessSenior author
  PublisherDOI

• Identifying female body shapes and key measurements using supervised machine learning algorithms

  Research Journal of Textile and Apparel · 2025-06-25

  article

  Purpose This study aims to train supervised machine learning algorithms on 3D body-scanned anthropometric data and develop an automated model for accurately predicting female body shapes. Design/methodology/approach A sample of 211 adult females participated in this study to identify body shapes and the key body measurement associated with them. The SizeUSA database was imported to train and validate the predictive models based on six supervised machine learning algorithms: multinomial logistic regression (MLR), random forest, support vector machine, naïve Bayes, decision tree and artificial neural network. The models were compared using performance evaluation metrics such as accuracy, precision, recall and F1-score. MLR demonstrated the highest accuracy and was used to classify participants into three distinct body shape groups. The MLR-based model classified the 211 participants into three distinct body shape groups and identified key body dimensions that significantly influenced classification likelihood for each group. For additional validations, these key measurements were compared across three body shape groups using analysis of variance. Findings The MLR-based body shape predictive model captured more comprehensive and nuanced anthropometric relationships than the Female Figure Identification Technique (FFIT) formula, a widely used method in apparel research for body shape classification. In addition, a comparison of the three body shape groups demonstrated that the MLR-based predictive model effectively captured the unique characteristics of each group, offering a more precise and detailed classification approach. Originality/value This study highlights the effectiveness of developing a novel predictive model that can rapidly identify body shapes from large data sets while identifying additional dimensions beyond the standard measurements used in the FFIT formula and sizing system.

  PublisherDOI

• Bound Between Fingers: A Maternal Narrative in Collaborative Creative Practice

  2025-12-10

  articleOpen accessSenior author
  PublisherDOI

• Beyond static images: how interactivity, vividness and realism shape consumer responses toward 3D fashion lookbooks

  Journal of Research in Interactive Marketing · 2025-09-08 · 2 citations

  articleSenior author

  Purpose This study examines how the key features of 3D fashion lookbooks – interactivity, vividness and realism – shape consumer responses by integrating the technology acceptance model (TAM) with the stimulus-organism-response (S-O-R) framework. It explores how the digital stimuli influence perceived usefulness, ease of use and enjoyment, which then affect attitudes and behavioral intentions. Design/methodology/approach An online survey of 524 US participants was conducted using a real 3D fashion lookbook interface. Structural equation modeling (SEM) was applied to test the proposed relationships. Findings Realism emerged as the strongest predictor of perceived usefulness and enjoyment, while interactivity significantly enhanced perceived ease of use. Vividness positively influenced usefulness and ease of use, but not enjoyment. Perceived enjoyment had the greatest impact on attitudes, which, in turn, strongly influenced behavioral intentions to reuse, explore and recommend 3D fashion lookbooks. Originality/value This study is among the first to investigate 3D lookbooks in an interactive marketing context. By combining TAM and S-O-R, it presents a structured theoretical pathway from visual/interactive features to consumer response, offering insights for both scholars and practitioners interested in interactive retail technologies.

  PublisherDOI

• Development of sensory-friendly inclusive design based on sensory integration theory

  The Design Journal · 2025-02-06 · 2 citations

  article
  PublisherDOI

• Classification of Virtual Reality Fashion Shows: from the Perspective of User Experience

  2024-01-21

  articleOpen access

  This study focuses on the emerging field of Virtual Reality (VR) fashion shows within the rapidly growing VR market, projected to reach $22.734 trillion by 2029. Recognizing the pivotal role of fashion shows in the industry, this research classifies existing VR fashion shows from a user experience perspective. Through searching across multiple platforms for existing VR fashion shows and a comprehensive literature review, the study identifies four distinct types of VR fashion shows categorized by immersion, telepresence, and interactivity. The results provide strategic insights for fashion companies and establish a foundation for future research aiming to enhance consumer experiences through VR fashion shows.

  PublisherDOI

• Misconceptions and Satisfaction in Female Body Shapes: Utilizing Supervised Machine Learning Algorithms for Identifying Body Shapes

  2024-01-27

  articleOpen access

  <p class="p1" style="margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; line-height: normal; font-family: &quot;Helvetica Neue&quot;; color: rgb(0, 0, 0); font-size: 13px;"><span style="font-size:16px;margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; line-height: normal; font-family: &quot;Helvetica Neue&quot;; color: rgb(0, 0, 0);">This study analyzed the congruences between objective and perceived female body shapes and further examined the influence of body shape on body shape congruence and body satisfaction. A predictive model was developed to determine objective body shapes, employing multinomial logistic regression (MLR), random forest (RF), and support vector machine (SVM) techniques on the SizeUSA dataset. With the MLR model demonstrating superior accuracy compared to other algorithms, it was chosen to categorize the objective body shape within a new dataset obtained from 212 female participants. Subsequently, the objective classifications of body shapes were juxtaposed with the subjective self-identifications of body shapes by the participants.</span>

  PublisherDOI

• Consumer Experience with 3D lookbook An S-O-R Approach

  2024-01-23

  articleOpen access

  Effectively showcasing fashion products online becomes strategically important to fashion brands. A 3D lookbook allows consumers to see products from different angles, obtain product details, and get a more realistic sense of how the item would look and fit in real life.&nbsp; While 3D lookbooks provide advantages and unique benefits over traditional print catalogs, not much is known yet in terms of consumer response toward 3D lookbooks. Thus, this study aims to investigate the effectiveness of 3D lookbooks as a brand communication tool. Specifically, this study investigates the impact of 3D lookbook features on consumers' attitudes and intentions toward using 3D lookbooks.

  PublisherDOI

Frequent coauthors

• Uikyung Jung

  University of Central Oklahoma

  6 shared

• Jing Feng

  Shriners Hospitals for Children - Portland

  5 shared

• Armine Ghalachyan

  Washington State University

  5 shared

• Serena Song

  North Carolina State University

  4 shared

• Yingjiao Xu

  4 shared

• Eulanda A. Sanders

  4 shared

• Fatma Baytar

  Cornell University

  3 shared

• Youngji Lee

  University of North Carolina at Greensboro

  3 shared

Labs

• Research Lab at Wilson College of TextilesPI

Education

• Ph.D., Apparel, Merchandising, and Design

  Iowa State University

  2017