Fabric perceptions in digital contexts: exploring the correlation between certainty and accuracy
As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationsh...
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| Published in | Fashion and textiles Vol. 11; no. 1; pp. 20 - 21 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Singapore
Springer Nature Singapore
01.12.2024
Springer Nature B.V SpringerOpen 한국의류학회 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2198-0802 2198-0802 |
| DOI | 10.1186/s40691-024-00387-7 |
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| Abstract | As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms. |
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| AbstractList | As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms. Abstract As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms. As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms. KCI Citation Count: 0 |
| ArticleNumber | 20 |
| Author | Ha, Jisoo Jang, Shin Young |
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| References | GiorgiAPsychology as a human science: a phenomenologically based approach19701New YorkHarper & Row LedermanSJKlatzkyRLHand movements: a window into haptic object recognitionCognitive Psychology19871933423681:STN:280:DyaL2s3nsVOmtQ%3D%3D10.1016/0010-0285(87)90008-93608405 ChiangKDholakiaRRFactors driving consumer intention to shop online: an empirical investigationJournal of Consumer Psychology200313117718310.1207/153276603768344898 MusaABHMalengierBVasileSVan LangenhoveLA comprehensive approach for human hand evaluation of split or large set of fabricsTextile Research Journal20198919–20423942521:CAS:528:DC%2BC1MXhslCktbrJ10.1177/0040517519832834 AlpertMRaiffaHA progress report on the training of probability assessors1982CambridgeCambridge University Press29430510.1017/cbo9780511809477.022 NegashSRyanTIgbariaMQuality and effectiveness in Web-based customer support systemsInformation & Management200340875776810.1016/s0378-7206(02)00101-5 BradfieldALWellsGLOlsonEAThe damaging effect of confirming feedback on the relation between eyewitness certainty and identification accuracyJournal of Applied Psychology200287111212010.1037/0021-9010.87.1.11211916205 XueZZengXKoehlLChenYExtracting fabric hand information from visual representations of flared skirtsTextile Research Journal20138432462661:CAS:528:DC%2BC2cXmvVCjurk%3D10.1177/0040517513485622 XiaoBBiWJiaXWeiHAdelsonEHCan you see what you feel? Color and folding properties affect visual–tactile material discrimination of fabricsJournal of Vision20161633410.1167/16.3.3426913626 Jang, S. Y., & Ha, J. (2023). Presenting fabrics in digital environment: fashion designers’ perspectives on communicating tactile qualities of the fabrics. Fashion and Textiles,10(1), Article 6. https://doi.org/10.1186/s40691-022-00328-2 CreswellJWA concise introduction to mixed methods research (Second)2021Thousand OaksSAGE Publications Inc AlickeMDGovorunOBetter-than-average effect2020ChamSpringer46610.1007/978-3-319-24612-3_300293 AltunaOKArslanFMImpact of the number of scale points on data characteristics and respondents’ evaluations: an experimental design approach using 5-Point and 7-Point Likert-type scalesİstanbul Üniversitesi Siyasal Bilgiler Fakültesi Dergisi20165512010.17124/iusiyasal.320009 HassaneinKHeadMManipulating perceived social presence through the web interface and its impact on attitude towards online shoppingInternational Journal of Human-Computer Studies200765868970810.1016/j.ijhcs.2006.11.018 KlaymanJSollJBGonzález-VallejoCBarlasSOverconfidence: it depends on how, what, and whom you askOrganizational Behavior and Human Decision Processes19997932162471:STN:280:DC%2BC2sbgvVGhsQ%3D%3D10.1006/obhd.1999.284710471362 LarrickRPBursonKASollJBSocial comparison and confidence: when thinking you’re better than average predicts overconfidence (and when it does not)Organizational Behavior and Human Decision Processes20071021769410.1016/j.obhdp.2006.10.002 MooreDACainDMOverconfidence and underconfidence: When and why people underestimate (and overestimate) the competitionOrganizational Behavior and Human Decision Processes2007103219721310.1016/j.obhdp.2006.09.002 DeffenbacherKAEyewitness accuracy and confidence: can we infer anything about their relationship?Law And Human Behavior19804424326010.1007/bf01040617 TiestWMBKappersAMLAnalysis of haptic perception of materials by multidimensional scaling and physical measurements of roughness and compressibilityActa Psychologica2006121112010.1016/j.actpsy.2005.04.005 MooreDAHealyPJThe trouble with overconfidencePsychological Review2008115250251710.1037/0033-295x.115.2.50218426301 LudwigSNafzigerJBeliefs about overconfidenceTheory and Decision201070447550010.1007/s11238-010-9199-2 SollJBKlaymanJOverconfidence in interval estimatesJournal of Experimental Psychology: Learning, Memory and Cognition200430229931410.1037/0278-7393.30.2.29914979805 RP Larrick (387_CR13) 2007; 102 K Chiang (387_CR5) 2003; 13 A Giorgi (387_CR8) 1970 SJ Lederman (387_CR14) 1987; 19 OK Altuna (387_CR3) 2016; 55 DA Moore (387_CR17) 2008; 115 S Negash (387_CR19) 2003; 40 M Alpert (387_CR2) 1982 AL Bradfield (387_CR4) 2002; 87 DA Moore (387_CR16) 2007; 103 WMB Tiest (387_CR22) 2006; 121 Z Xue (387_CR24) 2013; 84 KA Deffenbacher (387_CR7) 1980; 4 B Xiao (387_CR23) 2016; 16 J Klayman (387_CR11) 1999; 79 MD Alicke (387_CR1) 2020 S Ludwig (387_CR15) 2010; 70 387_CR10 JW Creswell (387_CR6) 2021 K Hassanein (387_CR9) 2007; 65 ABH Musa (387_CR18) 2019; 89 JB Soll (387_CR21) 2004; 30 |
| References_xml | – reference: LarrickRPBursonKASollJBSocial comparison and confidence: when thinking you’re better than average predicts overconfidence (and when it does not)Organizational Behavior and Human Decision Processes20071021769410.1016/j.obhdp.2006.10.002 – reference: KlaymanJSollJBGonzález-VallejoCBarlasSOverconfidence: it depends on how, what, and whom you askOrganizational Behavior and Human Decision Processes19997932162471:STN:280:DC%2BC2sbgvVGhsQ%3D%3D10.1006/obhd.1999.284710471362 – reference: LedermanSJKlatzkyRLHand movements: a window into haptic object recognitionCognitive Psychology19871933423681:STN:280:DyaL2s3nsVOmtQ%3D%3D10.1016/0010-0285(87)90008-93608405 – reference: AlpertMRaiffaHA progress report on the training of probability assessors1982CambridgeCambridge University Press29430510.1017/cbo9780511809477.022 – reference: TiestWMBKappersAMLAnalysis of haptic perception of materials by multidimensional scaling and physical measurements of roughness and compressibilityActa Psychologica2006121112010.1016/j.actpsy.2005.04.005 – reference: DeffenbacherKAEyewitness accuracy and confidence: can we infer anything about their relationship?Law And Human Behavior19804424326010.1007/bf01040617 – reference: Jang, S. Y., & Ha, J. (2023). Presenting fabrics in digital environment: fashion designers’ perspectives on communicating tactile qualities of the fabrics. 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| SubjectTerms | Accuracy Assessments Business and Management Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Correlation Designer perspectives Digital fabric representation Digital textiles Environment Evaluation Fabrics Fashion designer Fashion designers Fashion goods Life Sciences Representations Textile Engineering Textile experience Visual and tactile perception 생활과학 |
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| Title | Fabric perceptions in digital contexts: exploring the correlation between certainty and accuracy |
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| ispartofPNX | Fashion and Textiles, 2024, 11(1), , pp.1-21 |
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