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Fatma Baytar

Fatma Baytar

· Associate Professor

Cornell University · Nutrition

Active 2012–2026

h-index11
Citations413
Papers7256 last 5y
Funding$538k1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

The provided page text does not contain specific information about Professor Fatma Baytar's research focus, background, or key contributions. It primarily describes the activities, support, and events offered by the Bronfenbrenner Center for Translational Research at Cornell University, without detailing individual faculty members' biographies.

Research topics

  • Mathematics
  • Computer Science
  • Business
  • Advertising
  • Human–computer interaction
  • Psychology
  • Surgery
  • Physical therapy
  • Anatomy
  • Demography

Selected publications

  • Evaluating garments in augmented reality when shopping online

    Journal of Fashion Marketing and Management · 2020 · 112 citations

    1st authorCorresponding

    Purpose Augmented Reality (AR) integrates computer-generated images to a physical environment in real-time. Online apparel shopping presents some product-related risks, as consumers can neither physically see and touch the products nor try them on. The present study examined whether AR conveys reliable apparel product information in terms of fit, size, and product performance; and how AR affects attitudes toward apparel and purchase intentions when shopping online. Design/methodology/approach Th…

  • Accuracy and feasibility of 3D virtual dynamic fit technology

    International Journal of Clothing Science and Technology · 2024-04-09 · 8 citations

    articleSenior author

    Purpose The research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit. Design/methodology/approach Six female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pr…

  • Fit models’ roles in identifying fit issues in the apparel technical design process and implications for improving 3D virtual fitting

    Fashion and Textiles · 2024-09-19 · 4 citations

    articleOpen accessSenior author

    Abstract Fit sessions are essential in making well-fitted clothing. During these sessions, apparel fit is determined iteratively by a team of designers, technical designers, fit models, and merchandisers. With the advent of the digitalization of new product development processes in the fashion industry, fit sessions have been seen as a bottleneck for they are still held in person. However, the process is currently still irreplaceable, and what makes the feedback provided by fit models important…

  • Design and evaluation of a problem-based learning VR module for apparel fit correction training

    PLoS ONE · 2025-01-09 · 2 citations

    articleOpen accessSenior authorCorresponding

    The increased adoption of three-dimensional (3D) digital prototyping software programs makes it necessary to train novice designers to use these programs efficiently. However, existing studies spanning from engineering to design education indicate that students feel incompetent in understanding 3D digital prototypes and navigating the software, so there is a need to find effective training methods. In the current study, training modules were developed to teach participants fit correction skills…

  • Supporting Technical Designers' Decision-Making in the Era of Artificial Intelligence

    2024-01-23 · 2 citations

    articleOpen accessSenior author

    <p class="MsoNormal">The advent of simulation technologies has afforded technical designers invaluable learning opportunities to enhance the fit of garments through iterative processes between 2D and 3D environments, thereby facilitating the retention of crucial information. Despite the scarcity of AI studies in digital apparel product development, none have hitherto considered the perspectives of technical designers in optimizing fit requirements. In this study, we present a conceptual framewor…

Recent grants

Frequent coauthors

  • Mona Maher

    Cornell University

    18 shared
  • Katarina Goodge

    Cornell University

    12 shared
  • Jenny Leigh Du Puis

    New York State University College of Human Ecology

    11 shared
  • Margaret W. Frey

    Cornell University

    11 shared
  • Adriana Gorea

    University of Delaware

    9 shared
  • Eulanda A. Sanders

    8 shared
  • Wenjia Zong

    Cornell University

    6 shared
  • Jenine Marie Hillaire

    5 shared

Education

  • Ph.D., Fiber Science and Apparel Design

    Cornell University

    2011

Awards & honors

  • National Science Foundation (NSF) CAREER Award

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