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Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

Published online by Cambridge University Press:  26 May 2022

B. Quattelbaum ,
S. Wolter  and
K. Stylidis
B. Quattelbaum*
Affiliation:
Niederrhein University of Applied Sciences, Germany
S. Wolter
Affiliation:
Niederrhein University of Applied Sciences, Germany
K. Stylidis
Affiliation:
University West, Sweden Chalmers University of Technology, Sweden
*
bastian.quattelbaum@hsnr.de

Abstract

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Humans perceive through various sensory impressions, including the five senses. Not only the number of different stimuli in everyday life increase, but also the degree of assessment of urgent and irrelevant information. But online it is not possible for the customer to physically perceive and assess the haptics of a product. This paper focus on the questions if it is possible for humans to perceive and identify surface properties without using their sense of touch and if humans can judge and classify the haptics of a textile materials via digital channels through a purely visual perception?

Keywords

digital designcustomer integration methodsevaluationhapticsvisual cues
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 2183 - 2192
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

As, I., & Basu, P. (Eds.) (2021), “The Routledge Companion to Artificial Intelligence in Architecture”, RoutledgeGoogle Scholar
Basdogan, C., Levesque, V. and Frédéric, (2020), "A Review of Surface Haptics: Enabling Tactile Effects on Touch Surfaces", IEEE Transactions on Haptics, Institute of Electrical and Electronics Engineers, DOI:10.1109/TOH.2020.2990712, pp. 16Google Scholar
Baudet, N, Maire, JL, Pillet, M. (2013), “The visual inspection of product surfaces. Food Quality and Preference", 27(2): pp. 153–160.CrossRefGoogle Scholar
Boardman, Rosy & Mccormick, Helen (2019), “The Impact Of Product Presentation On Decision-Making And Purchasing” Qualitative Market Research: An International Journal. 22.Google Scholar
Bolton, R.N., Gustafsson, A., McColl-Kennedy, J., Sirianni, N.J. and Tse, D.K. (2014), “Small details that make big differences: A radical approach to consumption experience as a firm's differentiating strategy”, Journal of Service Management, Volume 25, Issue 2, pp. 253–274Google Scholar
Braun, A., Stylidis, K., & Söderberg, R. (2020), “Cognitive quality: An unexplored perceived quality dimension in the automotive industry”, Procedia CIRP, 91, pp. 869–874.CrossRefGoogle Scholar
Crilly, N., Moultrie, J., Clarkson, P.J. (2004), “Seeing things: consumer response to the visual domain in product design”, Design studies, 25(6), pp. 547–577.CrossRefGoogle Scholar
Eckert, CM, Bertoluci, G, Yannou, B. (2014), “Handling subjective product properties in engineering, food and fashion”, InDS 77: Proceedings of the DESIGN 2014 13th International Design Conference, pp. 791–800.Google Scholar
Gregory, R. (1987), “Perception” in “The Oxford Companion of The Mind”, Zangwill, pp. 598–601Google Scholar
Grundwald, M. (2008), “Human Haptic Perception: Basics and Applications”, Birkhäsuer Verlag, BerlinGoogle Scholar
He, K., Zhang, X., Ren, S., & Sun, J. (2016), “Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition”, Las Vegas, NV, pp. 770–778Google Scholar
Hekkert, P. (2014), “12 Aesthetic responses to design: a battle of impulses”CrossRefGoogle Scholar
Klatzky, R. and Lederman, S. (1992), “Stages of manual exploration in haptic object identification”, Sprinker Link, pp. 661–670Google Scholar
Krippendorff, K. (2005), “The semantic turn: A new foundation for design”, CRC PressCrossRefGoogle Scholar
Kühn, F. (2021), “The importance of haptics in sensory marketing”, disseration, Otto-von-Guericke-Universität Magdeburg, pp. 91Google Scholar
Lederman, S.J., Thorne, G., Jones, B. (1986), "Perception of texture by vision and touch: multidimensionality and intersensory integration” J. Exp. Psychol. Hum. Percept. Perform., 12, pp. 169–180CrossRefGoogle Scholar
Müller, J., Alt, F. and Michelis, D. (2018), “Pervasive Advertising”, Springer, London, pp. 1–29Google Scholar
Peck, J. and Shu, S.B. (2009), “The Effect of Mere Touch on Perceived Ownership”, Journal of Consumer Research, Volume 36, Issue 3, pp. 434–447CrossRefGoogle Scholar
Rakhin, K.V. and Onkar, P. (2018), “Predicting Haptic Perception of textile texture and analysis between smooth-rough preferences through images”, at Conference: Tools and Methods of Competitive Engineering (TMCE), Las Palmas de Gran Canaria, SpainGoogle Scholar
Rupini, RV and Nandagopal, R (2015), “A Study on the Influence of Senses and the Effectiveness of Sensory Branding”, Journal of Psychiatry, Volume 18, Issue 2, 10.4172/1994-8220.1000236Google Scholar
Sachs, L. (2012), “Applied Statistics: A Handbook of Techniques”, USA, Springer New YorkGoogle Scholar
Sathian, K. (2016), “Analysis of haptic information in the cerebral cortex”, Journal of Neurophysiology, Volume 116, Issue 4, pp. 1795–1806CrossRefGoogle ScholarPubMed
Schifferstein, H.N.J. (2007), “Desmet P.M.A. The effect of sensory impairments on product experience and personal well-being Ergonomics”, 50, pp. 2026–2048Google Scholar
Schifferstein, H.N.J., Cleiren, M.P.H.D (2005), “Capturing product experiences: a split-modality approach Acta Psychol.’, 118, pp. 293–318Google Scholar
Stylidis, K, Hoffenson, S, Rossi, M, Wickman, C, Söderman, M, Söderberg, R. (2020), “Transforming brand core values into perceived quality: a Volvo case study. International Journal of Product Development", 24(1): pp. 43–67.Google Scholar
Stylidis, K., Bursac, N., Heitger, N., Wickman, C., Albers, A., & Söderberg, R. (2019), "Perceived quality framework in product generation engineering: an automotive industry example, Design Science, 5Google Scholar
Vasić, Nebojša, Kilibarda, Milorad, & Kaurin, Tanja. (2019), “The Influence of Online Shopping Determinants on Customer Satisfaction in the Serbian Market”, Journal of theoretical and applied electronic commerce research, 14(2), pp. 70–89.Google Scholar
Vezzetti, E., Piazzolla, P. and Violante, M.G. (2019), “How to design a virtual reality experience that impacts the consumer engagement: the case of the virtual supermarket”, International Journal on Interactive Design and Manufacturing, Volume 13, pp. 243–262Google Scholar
Younas, M., Awan, I., Ghinea, G. and Catalan Cid, M. (2018), “Mobile Web and Intelligent Information Systems”, 15th International Conference, MobiWIS 2018, Barcelona, pp. 205–216Google Scholar