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Body shape size research used in BAHons Fashion Textile Management teaching of Product Technology

R.I.T. seminar 13 Nov. 2. Research informed teaching. Teaching contextProduct technology difficult for fluffy fashionistas'Size and fit are crucial issuesResearch expertise availableRIT philosophy

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Body shape size research used in BAHons Fashion Textile Management teaching of Product Technology

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    1. R.I.T. seminar 13 Nov 1 Body shape & size research used in BA(Hons) Fashion & Textile Management teaching of Product Technology Dr Alistair Knox Katie Holbrook

    2. R.I.T. seminar 13 Nov 2 Research informed teaching Teaching context Product technology difficult for ‘fluffy fashionistas’ Size and fit are crucial issues Research expertise available RIT philosophy & method Lecture theory + workshop active learning Workshop lesson plan Max. 20, working in pairs Small-scale survey + market research questionnaire Data input and analysis feedback

    3. R.I.T. seminar 13 Nov 3 RTW product technology methods designers use ‘block patterns’ based on size charts from consumer surveys as the starting point for cutting new styles samples fitted on “standard” mannequins, plus live models for comfort (as well as fit)

    4. R.I.T. seminar 13 Nov 4 IFFTI Conference, November 2005, Tokyo SIZING and LABELLING Dr. Alistair Knox Nottingham Trent University School of Art & Design

    5. R.I.T. seminar 13 Nov 5 Related NTU research

    6. R.I.T. seminar 13 Nov 6 NTU size/shape research market research for many retailers, brands: 2D/3D + size charts 16 surveys over 10 years SizeUK – bodyscanner UK survey – with LCF, ULC + retail consortium E-Tailor (EU) Intelligent pattern alteration 3D body shape on smartcard national size survey white paper National Textile Center (USA) – joint research on shape analysis links with NTU teaching 3D body scanning for plastic surgery evaluation

    7. R.I.T. seminar 13 Nov 7 Context

    8. R.I.T. seminar 13 Nov 8 Ready to wear sizing & fit issues

    9. R.I.T. seminar 13 Nov 9 body size & shape “normal” = large range of heights, girths, body types socio-economic plus regional & national / ethnic variations somatotype trends

    10. R.I.T. seminar 13 Nov 10 International complexity & confusion of size labels

    11. R.I.T. seminar 13 Nov 11

    12. R.I.T. seminar 13 Nov 12 Market research for fashion products Designers, Buyers and Merchandisers, Technologists what size are our customers? what shape? what is “good fit” for our products? does it vary for market segments? ANSWERS FROM SURVEYS AND ANALYSIS how many size / shape / height options is it economical to offer? how to achieve consistent quality?

    13. R.I.T. seminar 13 Nov 13 Student workshop exercise Mini survey + market research questionnaire Practicalities & ethics of research Analysis of outcomes Implications for size & fit quality control

    14. R.I.T. seminar 13 Nov 14

    15. R.I.T. seminar 13 Nov 15 Ethics & accuracy Body measurements personal Data ownership Confidentiality Consent form Measurement procedures Accuracy & reliability Sampling

    16. R.I.T. seminar 13 Nov 16

    17. R.I.T. seminar 13 Nov 17 Market research

    18. R.I.T. seminar 13 Nov 18 Data input & analysis Anonymous ID & size data – PC1 Anonymous ID & market research data – PC2 after class data analysis Results & reflections discussed next session

    19. R.I.T. seminar 13 Nov 19 2007 size averages [cms for lengths]

    20. R.I.T. seminar 13 Nov 20 Body type

    21. R.I.T. seminar 13 Nov 21 Height distribution [little statistical significance is small difference in average height]

    22. R.I.T. seminar 13 Nov 22 Height perception

    23. R.I.T. seminar 13 Nov 23 Dress size

    24. R.I.T. seminar 13 Nov 24 Bust vs height [random scatter shows little/no correlation]

    25. R.I.T. seminar 13 Nov 25 Hip vs waist

    26. R.I.T. seminar 13 Nov 26 Inside leg vs height [straight line shows positive correlation]

    27. R.I.T. seminar 13 Nov 27 Fit difficulty

    28. R.I.T. seminar 13 Nov 28 Buy factors [5 = very important; 1 = not important]

    29. R.I.T. seminar 13 Nov 29 Made to measure preferences

    30. R.I.T. seminar 13 Nov 30 Reflections Effective learning Student engagement Very positive student feedback Module level Course committee Now in 4th year! Possible research value in its own right

    31. R.I.T. seminar 13 Nov 31 Questions?

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