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Understanding the Role of Perceptual Haptic Conditions on Design Decision

Published online by Cambridge University Press:  26 May 2022

K. V. Rakhin*
Affiliation:
Indian Institute of Technology Hyderabad, India Osmania University, India
P. S. Onkar
Affiliation:
Indian Institute of Technology Hyderabad, India
J. Hayavadana
Affiliation:
Osmania University, India

Abstract

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The haptic propositions derived from the textile prototypes often allow for more than one interpretation. It impacts the decision on design alternatives during the phase of design evaluation and validation. The present study aims to conquer this challenge with a haptic design case study of automotive upholstery fabric. It links experimental psychophysics with design decision-making. The study results show that visual cues influence haptic detection accuracy and constancy to choose a final design option.

Type
Article
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

Badke-Schaub, P. Gehrlicher, A. (2003). “Patterns of decisions in design: Leaps, loops, cycles, sequences and meta processes”, Proceedings International Conference on Engineering Design, ICED 03 Stockholm, pp. 110, 2003.Google Scholar
Blázquez, M. (2014). Fashion shopping in multichannel retail: The role of technology in enhancing the customer experience. International Journal of Electronic Commerce, 18(4), 97116. 10.2753/JEC1086-4415180404CrossRefGoogle Scholar
Cruse, D., and Clifton, C. (1975). Constructing visual images from verbal descriptions. Bulletin of the Psychonomic Society, 6(6), 585588. 10.3758/bf03337573CrossRefGoogle Scholar
Denis, M., Gonc, M. R., and Memmi, D. (1995). Mental scanning of visual images generated from verbal descriptions: Towards a model of image accuracy. Neuropsychologia, 33(11), 15111530. 10.1016/0028-3932(95)00078-hGoogle Scholar
Eckman, M., Damhorst, M. L., and Kadolph, S. J. (1990). Toward a model of the in-store purchase decision process: Consumer use of criteria for evaluating women's apparel. Clothing and Textiles Research Journal, 8(2), 1322. 10.1177/0887302X9000800202CrossRefGoogle Scholar
Ellis, B. C., and Garnsworthy, R. K. (1980). A review of techniques for the assessment of hand. Textile Research Journal, 50(4), 231238. 10.1177/004051758005000406CrossRefGoogle Scholar
Forster, S., and Lavie, N. (2009). Harnessing the wandering mind: The role of perceptual load. Cognition, 111(3), 345355. 10.1016/j.cognition.2009.02.006CrossRefGoogle ScholarPubMed
Goldstone, R. L., and Barsalou, L. W. (1998). Reuniting perception and conception. Cognition, 65(2-3), 231262. 10.1016/S0010-0277(97)00047-4CrossRefGoogle ScholarPubMed
Hale, K. S., and Stanney, K. M. (2004). Deriving haptic design guidelines from human physiological, psychophysical, and neurological foundations. IEEE computer graphics and applications, 24(2), 3339. 10.1109/MCG.2004.1274059CrossRefGoogle ScholarPubMed
Hansen, C. T., and Andreasen, M. M. (2000). Basic thinking patterns of decision-making in engineering design. In H. Meerkamm (Ed.), MCE 2000 - International Workshop on Multi-Criteria Evaluation (pp. 1-8)Google Scholar
Hatch. K.L. 1993, Textile Science, West Publishing Company, New York, NY, USA.Google Scholar
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational technology research and development, 48(4), 6385. 10.1007/BF02300500CrossRefGoogle Scholar
Klatzky, R. L., Lederman, S. J., and Reed, C. (1987). There's more to touch than meets the eye: The salience of object attributes for haptics with and without vision. Journal of Experimental Psychology: General, 116(4), 356369. 10.1037/0096-3445.116.4.356CrossRefGoogle Scholar
Lederman, S.J., Klatzky, R.L. (2009) Haptic perception: A tutorial. Attention, Perception, and Psychophysics 71, 14391459. 10.3758/APP.71.7.1439CrossRefGoogle Scholar
Lupyan, G., and Lewis, M. (2019). From words-as-mappings to words-as-cues: The role of language in semantic knowledge. Language, Cognition and Neuroscience, 34(10), 13191337. 10.31234/osf.io/ysp5bCrossRefGoogle Scholar
Makinen, M., Meinander, H., Luible, C., Magnenat-Thalmann, N. Influence of physical parameters on fabric hand. Proceedings of the HAPTEX’05 Workshop on Haptic and Tactile Perception of Deformable Objects. Hanover, December, 2005.Google Scholar
Marlow, P. J., Kim, J., and Anderson, B. L. (2012). The perception and misperception of specular surface reflectance. Current Biology, 22(20), 19091913. 10.1016/j.cub.2012.08.009Google ScholarPubMed
Montemayor, C., and Haladjian, H. H. (2017). Perception and cognition are largely independent, but still affect each other in systematic ways: arguments from evolution and the consciousness-attention dissociation. Frontiers in psychology, 8, 40. 10.3389/fpsyg.2017.00040CrossRefGoogle ScholarPubMed
Murphy, G., and Greene, C. M. (2016). Perceptual load affects eyewitness accuracy and susceptibility to leading questions. Frontiers in psychology, 7, 1322. 10.3389/fpsyg.2016.01322CrossRefGoogle ScholarPubMed
NEFS, H. T. (2011). On the visual appearance of objects. In Schifferstein, H. N., and Hekkert, P. (Eds.). Product experience (pp. 1139). Elsevier Ltd., The Netherlands. 10.1016/B978-008045089-6.50004-6Google Scholar
Oh, D., Shafir, E., and Todorov, A. (2020). Economic status cues from clothes affect perceived competence from faces. Nature human behaviour, 4(3), 287293. 10.1038/s41562-019-0782-4CrossRefGoogle ScholarPubMed
Osgood, C. E., Suci, G. J., and Tannenbaum, P. H. (1957). The measurement of meaning. Urbana: University of Illinois press.Google Scholar
Perry, P., Kent, A., Bonetti, F. (2019) The Use of Mobile Technologies in Physical Stores: The Case of Fashion Retailing. In: Piotrowicz, W., Cuthbertson, R. (Eds) Exploring Omni channel Retailing. Springer, Cham. 10.1007/978-3-319-98273-1_8Google Scholar
Prinz, J. J. (2004). Furnishing the mind: Concepts and their perceptual basis. MIT press.Google Scholar
Schifferstein, H. N. J., Otten, J. J., Thoolen, F., and Hekkert, P. (2010). The experimental assessment of sensory dominance in a product development context. Journal of Design Research, 8(2), 119. 10.1504/JDR.2010.032074CrossRefGoogle Scholar
Shi, Z., and Mueller, H. J. (2013). Multisensory perception and action: development, decision-making, and neural mechanisms. Frontiers in integrative neuroscience, 7, 81. 10.3389/fnint.2013.00081CrossRefGoogle ScholarPubMed
Smith, A. D. (1990). Of primary and secondary qualities. The Philosophical Review, 99(2), 221254. 10.2307/2185490CrossRefGoogle Scholar
Sonneveld, M. H., and Schifferstein, H. N. (2008). The tactual experience of objects. In Schifferstein, H. N., and Hekkert, P. (Eds.). Product experience (pp. 4167). Elsevier Ltd., The Netherlands. 10.1016/B978-008045089-6.50005-8CrossRefGoogle Scholar
Stronge, W. J., James, R., and Ravani, B. (2001). Oblique impact with friction and tangential compliance. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 359(1789), 24472465. 10.1098/rsta.2001.0903Google Scholar
Tacca, M. C. (2011). Commonalities between perception and cognition. Frontiers in psychology, 2, 358. 10.3389/fpsyg.2011.00358CrossRefGoogle ScholarPubMed
Takeda, H., Veerkamp, P., and Yoshikawa, H. (1990). Modeling design process. AI magazine, 11(4), 3737. 10.1609/aimag.v11i4.855Google Scholar
Tan, J, Zhao, Y, Wang, L, Tian, X, Cui, Y, Yang, Q, et al. . (2015) The Competitive Influences of Perceptual Load and Working Memory Guidance on Selective Attention. PLoS ONE 10(6): e0129533. 10.1371/journal.pone.0129533CrossRefGoogle ScholarPubMed
Valentine, L., Ballie, J., Bletcher, J., Robertson, S., and Stevenson, F. (2017). Design Thinking for Textiles: let's make it meaningful. The Design Journal, 20 (sup1), S964S976. 10.1080/14606925.2017.1353041CrossRefGoogle Scholar
Witthoft, N., Sha, L., Winawer, J., and Kiani, R. (2018). Sensory and decision-making processes underlying perceptual adaptation. Journal of vision, 18(8), 1010. 10.1167/18.8.10CrossRefGoogle ScholarPubMed