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Revealing Insights of Users’ Perceptions: An Approach to Evaluate Wearable Products Based on Emotions

Part of: User-Centred Design

Published online by Cambridge University Press:  26 July 2019

Ting Liao ,
Kesler Tanner  and
Erin MacDonald

Abstract

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The wearable products market is growing rapidly. Engaging users on an emotional level may be the key to long-term use and attracting new customers. While researchers have proposed various design approaches to realize design qualities for wearable devices, emotional needs are overlooked in the design process. To bridge this gap, we developed an approach with an online tool that uses a two-axis interactive collage for users to compare and evaluate wearable products with targeted emotion-related descriptive words. This approach enabled us to explore how users perceive products and identify types of emotions that were associated with their preferences for and perceptions of the product's form and visible characteristics. The study demonstrated this design approach to reveal insights into the relationships between product characteristics and design goals, such as user comfort, user delight, and perceived product usefulness. The results showed that products that resemble clothes were perceived as more delightful and comfortable. This study suggests that the approach can be further used to explore other design concepts or goals.

Keywords

User perceptionWearable devicesEmotional designDesign methodsUser centred design
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3969 - 3978
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) 2019

References

Augustin, M.D., Carbon, C.C. and Wagemans, J. (2012), “Artful terms: A study on aesthetic word usage for visual art versus film and music”, i-Perception, Vol. 3 No. 5, pp. 319–337.10.1068/i0511aapGoogle Scholar
Bartl, C., Gouthier, M.H. and Lenker, M. (2013), “Delighting consumers click by click: Antecedents and effects of delight online”, Journal of Service Research, Vol. 16 No. 3, pp. 386–399.10.1177/1094670513479168Google Scholar
Bauer, H.H., Falk, T. and Hammerschmidt, M. (2006), “eTransQual: A transaction process-based approach for capturing service quality in online shopping”, Journal of Business Research, Vol. 59 No. 7, pp. 866–875.10.1016/j.jbusres.2006.01.021Google Scholar
Berger, C. (1993), “Kano's methods for understanding customer-defined quality”, Center for Quality Management Journal, Vol. 2 No. 4, pp. 3–36.Google Scholar
Cahour, B., Lorant, F. and Sanchiz, F. (2002), “Use of teleconferencing: perturbing cognitive and social comfort”, Proceedings of the 11th European Congress of Cognitive Ergonomics (Cognition, Culture and Design), pp. 7–10.Google Scholar
Dunne, L.E. and Smyth, B. (2007), “April. Psychophysical elements of wearability”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp. 299–302.10.1145/1240624.1240674Google Scholar
Ealey, L. and Troyano-Bermúdez, L. (1996), “Are automobiles the next commodity?”, The McKinsey Quarterly No. 4, p. 62.Google Scholar
Guyton, A.A. (2006), Developing sustainable product semantics for consumer products: A sustainable designer's guide, Doctoral dissertation, Georgia Institute of Technology.Google Scholar
Hassenzahl, M. (2004), “The interplay of beauty, goodness, and usability in interactive products”, Human-computer Interaction, Vol. 19 No. 4, pp. 319–349.10.1207/s15327051hci1904_2Google Scholar
Kano, N., Seraku, N., Takahashi, F. and Tsuji, S. (1984), “Attractive quality and must-be quality”, The Journal of the Japanese Society for Quality Control, Vol. 14 No. 2, pp. 39–48.Google Scholar
Kittur, A., Chi, E.H. and Suh, B. (2008), “Crowdsourcing user studies with Mechanical Turk”, Proceedings of the SIGCHI conference on human factors in computing systems, pp. 453–456, ACM.10.1145/1357054.1357127Google Scholar
Liao, T. and MacDonald, E. (2018), “Effects of collage priming on sustainable design idea creation and assessment”, Proceedings of the International Design and Engineering Technical Conference, pp. V007T06A056–V007T06A056.Google Scholar
Hoffman Institute Foundation (2015), Feeling list. Available at: https://www.hoffmaninstitute.org/wp-content/uploads/Practices-FeelingsSensations.pdf (Accessed Dec 15th, 2018).Google Scholar
Lyons, K. (2015), “What can a dumb watch teach a smartwatch: informing the design of smartwatches”, Proceedings of the 2015 ACM International Symposium on Wearable Computers (ISWC '15), pp. 3–10. https://doi.org/10.1145/2802083.2802084Google Scholar
MacDonald, E., Backsell, M., Gonzalez, R. and Papalambros, P. (2006), “The Kano method's imperfections, and implications in product decision theory”, Proceedings of the 2006 International Design Research Symposium.Google Scholar
Maier, A.M., Özkil, A.G., Bang, M.M. and Forchhammer, B.H. (2015), “Remember to remember: a feasibility study adapting wearable technology to the needs of people aged 65 and older with mild cognitive impairment (MCI) and Alzheimer's Dementia”, Proceedings of International Conference on Engineering Design (ICED), Vol. 1, pp. 331–340.Google Scholar
Mason, W. and Suri, S. (2012), “Conducting behavioral research on Amazon's Mechanical Turk”, Behavior Research Methods, Vol. 44 No. 1, pp. 1–23.10.3758/s13428-011-0124-6Google Scholar
Nagamachi, M. (1995), “Kansei engineering: a new ergonomic consumer-oriented technology for product development”, International Journal of Industrial Ergonomics, Vol. 15, pp. 3–11.10.1016/0169-8141(94)00052-5Google Scholar
Nagamachi, M. (2002), “Kansei engineering as a powerful consumer-oriented technology for product development”, Applied Ergonomics No. 33, pp. 289–294.10.1016/S0003-6870(02)00019-4Google Scholar
Pennington, J., Socher, R. and Manning, C. (2014), “GloVe: global vectors for word representation”, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1532–1543.10.3115/v1/D14-1162Google Scholar
Plutchik, R. (1984), “Emotions: A general psychoevolutionary theory”, Approaches to Emotion, pp. 197–219.Google Scholar
Shaver, P., Schwartz, J., Kirson, D. and O'connor, C. (1987), “Emotion knowledge: Further exploration of a prototype approach”, Journal of Personality and Social Psychology, Vol. 52 No. 6, p. 1061.10.1037/0022-3514.52.6.1061Google Scholar
Schirra, S. and Bentley, F.R. (2015), “It's kind of like an extra screen for my phone: Understanding Everyday Uses of Consumer Smart Watches”, Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, ACM, pp. 2151–2156.Google Scholar
She, J. and MacDonald, J. (2014), “Priming designers to communicate sustainability”, Journal of Mechanical Design, Vol. 136 No. 1, p. 011001.10.1115/1.4025488Google Scholar
Smith, T.W. (2015), “The Book of Human Emotions: An Encyclopedia of Feeling from Anger to Wanderlust”, Profile Books.Google Scholar