Exploring fashion choice criteria for older chinese female consumers: A wardrobe study approach

Minzhi Zhang, Sonja Andrew, Simeon Gill

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    © Springer International Publishing AG 2018. This paper outlines a wardrobe study conducted within a larger research investigation that aims to examine the daily clothing choices and preferences of older female consumers in China to inform clothing design for this demographic. Based on inclusive design principles, the paper discusses the method and results of a wardrobe study designed to gather evidence of clothing preferences from 27 Chinese women aged between 55–70 years old. Four favourite casual outfits were selected by each participant from their own wardrobe. These were then photographed on the body and flat, with garment details recorded. The visual data from the wardrobe study was collated into a textual format enabling quantitative content analysis to be applied to find areas of commonality and divergence in participants’ choices regarding clothing design features, fabrics, fastenings and fit. The results of the study provide information that could assist in developing design guidelines for fashion designers and companies manufacturing clothing for ageing female Chinese consumers.
    Original languageEnglish
    Title of host publicationAdvances in Design for Inclusion
    PublisherSpringer Nature
    Pages109-121
    Number of pages13
    ISBN (Electronic)9783319605975
    ISBN (Print)9783319605968
    DOIs
    Publication statusPublished - 2018
    EventInternational Conference on Design for Inclusion
    - The Westin Bonaventure Hotel, Los Angeles, United States
    Duration: 17 Jul 201721 Jul 2017

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume587

    Conference

    ConferenceInternational Conference on Design for Inclusion
    Country/TerritoryUnited States
    CityLos Angeles
    Period17/07/1721/07/17

    Keywords

    • Ageing
    • Clothing fit
    • Garment feature
    • Wardrobe study

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