journal article·2022-11-03Open access

User Experience of Wearable Technologies: A Comparative Analysis of Textile-Based and Accessory-Based Wearable Products

Ahmet Baskan, Gozde Goncu-Berk

Applied Sciences· Volume 12· Issue 21

Abstract

Wearable technology components have been integrated into accessories and then clothes over the evolutionary process. In the future, it is predicted that wearable technologies will be patchable and implantable. Despite progress in wearable technologies, there is an adaptation problem in wearable technologies. One of the most important reasons for this problem is the negative product experiences of the users. In this study, we investigated the user experiences of accessory-based and textile-based wearable technologies. Due to the temporality of the user experience, a mixed method was developed, including a survey for the expectations before use, a diary-interview for during use, and a semi-structured interview for after use. The data obtained with these methods were analyzed with SPSS and NVivo programs and the two different wearing-style experiences were compared. As a result of these analyses, it has been revealed that textile-based wearable technologies give a more positive experience during and after use and may be preferred over accessory-based wearable technologies in terms of wearability.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Innovative Human-Technology Interaction · Consumer Retail Behavior Studies · Technology Use by Older Adults

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Industrial Design, Istanbul Technical University, Istanbul 34437, Turkey

Department of Design, UC Davis, Davis, CA 95616, USA

References (70)

Show source-provided references
1. Wilson, S., and Laing, R. (2018, January 23–26). Wearable Technology: Present and Future. Proceedings of the 91st World Conference of the Textile Institute, Leeds, UK.
2. User acceptance of a personalised home lighting system based on wearable technology10.1016/j.apergo.2021.103480 ↗
3. A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges10.1016/j.comnet.2021.108074 ↗
4. Watkins, S.M., and Dunne, L. (2015). Functional Clothing Design: From Sportswear to Spacesuits, Bloomsbury Publishing.10.5040/9781501303715 ↗
5. The application of wearable technology in surgery: Ensuring the positive impact of the wearable revolution on surgical patients
6. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review10.2196/mhealth.9054 ↗
7. Consumer-based wearable activity trackers increase physical activity participation: Systematic review and meta-analysis10.2196/11819 ↗
8. Seshadri, D.R., Rowbottom, J.R., Drummond, C., Voos, J.E., and Craker, J. (2016, January 15–17). A review of wearable technology: Moving beyond the hype: From need through sensor implementation. Proceedings of the 2016 8th Cairo International Biomedical Engineering Conference (CIBEC), Cairo, Egypt.10.1109/CIBEC.2016.7836118 ↗
9. Gaskin, J., Jenkins, J., Meservy, T., Steffen, J., and Carl, K. (2017, January 4–7). Using Wearable Devices for Non-Invasive, Inexpensive Physiological Data Collection. Proceedings of the 50th Hawaii International Conference on System Sciences, Waikoloa Village, HI, USA.10.24251/HICSS.2017.072 ↗
10. A smartphone-based wearable sensors for monitoring real-time physiological data10.1016/j.compeleceng.2017.06.031 ↗
11. Wearable electrochemical sensors for forensic and clinical applications10.1016/j.trac.2019.115622 ↗
12. Wearable Electrochemical Sensors for the Monitoring and Screening of Drugs10.1021/acssensors.0c01318 ↗
13. Electrochemical sensors: From the bench to the skin10.1016/j.snb.2021.130178 ↗
14. Preventing Undesired Face-Touches With Wearable Devices and Haptic Feedback10.1109/ACCESS.2020.3012309 ↗
15. Marullo, S., Baldi, T.L., Paolocci, G., D’Aurizio, N., and Prattichizzo, D. (June, January 30). No Face-Touch: Exploiting Wearable Devices and Machine Learning for Gesture Detection. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China.10.1109/ICRA48506.2021.9561178 ↗
16. Pal, S., Mukhopadhyay, S., and Suryadevara, N. (2021). Development and Progress in Sensors and Technologies for Human Emotion Recognition. Sensors, 21.10.3390/s21165554 ↗
17. Wearable Medical Sensor-Based System Design: A Survey10.1109/TMSCS.2017.2675888 ↗
18. The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact10.1016/j.apergo.2018.02.005 ↗
19. Employee acceptance of wearable technology in the workplace10.1016/j.apergo.2019.03.003 ↗
20. Wearable Technology Devices Security and Privacy Vulnerability Analysis
21. A Survey of Wearable Devices and Challenges10.1109/COMST.2017.2731979 ↗
22. Schneegass, S., and Amft, O. (2017). Designing for Smart Clothes and Wearables—User Experience Design Perspective. Smart Textiles: Fundamentals, Design, and Interaction, Springer International Publishing.10.1007/978-3-319-50124-6 ↗
23. (2022, September 10). Smart Wearables Reflection and Orientation Paper Including Feedback from Stakeholders. Available online: https://digital-strategy.ec.europa.eu/en/news/feedback-stakeholders-smart-wearables-reflection-and-orientation-paper.
24. Fernández-Caramés, T., and Fraga-Lamas, P. (2018). Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles. Electronics, 7.10.3390/electronics7120405 ↗
25. The status and perspectives of nanostructured materials and fabrication processes for wearable piezoresistive sensors10.1007/s00542-022-05269-w ↗
26. Lee, Y.A. (2022). Wearable Technology in Fashion BT. Leading Edge Technologies in Fashion Innovation: Product Design and Development Process from Materials to the End Products to Consumers, Springer International Publishing.10.1007/978-3-030-91135-5 ↗
27. Ates, H.C., Nguyen, P.Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J.J., and Dincer, C. (2022). End-to-end design of wearable sensors. Nat. Rev. Mater., in press.10.1038/s41578-022-00460-x ↗
28. Grand View Research (2020). Wearable Technology Market Size, Share & Trends Analysis Report by Product (Wrist-Wear, Eye-Wear & Head-Wear, Foot-Wear, Neck-Wear, Body-Wear), by Application, by Region, and Segment Forecasts, 2020–2027, Grand View Research.
29. Explicating Consumer Adoption of Wearable Technologies: A Case of Smartwatches From the ASEAN Perspective10.4018/IJTHI.293195 ↗
30. Ledger, D., and McCaffrey, D. (2022, September 10). Inside Wearables Part 1—How behavior change unlocks long-term engagement. Endeavour Partners. Available online: https://medium.com/@endeavourprtnrs/inside-wearable-how-the-science-of-human-behavior-change-offers-the-secret-to-long-term-engagement-a15b3c7d4cf3.
31. Shih, P., Han, K., Poole, E., Rosson, M.B., and Carroll, J. (2015, January 24–27). Use and adoption challenges of wearable activity trackers. Proceedings of the iConference 2015, Newport Beach, CA, USA.
32. Kalantari, M., and Rauschnabel, P. (2016). Exploring the Early Adopters of Augmented Reality Smart Glasses: The Case of Microsoft HoloLens. Augmented Reality and Virtual Reality, Springer.10.1007/978-3-319-64027-3_16 ↗
33. Wearable technology: What explains continuance intention in smartwatches?10.1016/j.jretconser.2018.03.017 ↗
34. Acceptance and use predictors of fitness wearable technology and intention to recommend10.1108/IMDS-01-2018-0009 ↗
35. Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health10.1002/cjas.1547 ↗
36. Using smartwatches for fitness and health monitoring: The UTAUT2 combined with threat appraisal as moderators10.1080/0144929X.2019.1685597 ↗
37. Social comparison and continuance intention of smart fitness wearables: An extended expectation confirmation theory perspective10.1080/0144929X.2020.1748715 ↗
38. Suh, A., Li, R., and Liu, L. (2016, January 17–22). The Use of Wearable Technologies and Body Awareness: A Body-Tool Relationship Perspective. Proceedings of the International Conference on Human-Computer Interaction, Toronto, ON, Canada.10.1007/978-3-319-40548-3_65 ↗
39. User experience—A research agenda10.1080/01449290500330331 ↗
40. Law, E.L.C., Roto, V., Hassenzahl, M., Vermeeren, A.P.O.S., and Kort, J. (2009, January 4–9). Understanding, Scoping and Defining User eXperience: A Survey Approach. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA. Available online: http://www.ncbi.nlm.nih.gov/pubmed/2175.10.1145/1518701.1518813 ↗
41. Bongard-Blanchy, K., and Bouchard, C. (2022, September 10). Dimensions of User Experience—From the Product Design Perspective. J. d’Interaction Pers, Available online: https://www.researchgate.net/publication/278828656_Dimensions_of_User_Experience_-_from_the_Product_Design_Perspective.
42. Karapanos, E., Zimmerman, J., Forlizzi, J., and Martens, J.B. (2009, January 4–9). User experience over time: An initial framework. Proceedings of the CHI ‘09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA.10.1145/1518701.1518814 ↗
43. UX Curve: A method for evaluating long-term user experience10.1016/j.intcom.2011.06.005 ↗
44. Luojus, S. (2012, January 26–30). Integrating Momentary and Long-Term UX: A Theoretical Approach. Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI ’12, Melbourne, VIC, Australia.10.1145/2414536.2414593 ↗
45. Varsaluoma, J., and Sahar, F. (2014, January 26–30). Usefulness of long-term user experience evaluation to product development: Practitioners’ views from three case studies. Proceedings of the NordiCHI ’14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, Helsinki, Finland.10.1145/2639189.2641218 ↗
46. Boy, G.A. (2017). From Usability to User Experience with Interactive Systems. The Handbook of Human-Machine Interaction, Ashgate Publishing Limited.10.1201/9781315557380 ↗
47. Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire10.1016/j.chb.2019.106169 ↗
48. Evaluation of the usefulness of path of long-term user experience model in design process10.1080/0144929X.2020.1836256 ↗
49. Moellendorff, M., Hassenzahl, M., and Platz, A. (2006, January 14–18). Dynamics of User Experience: How the Perceived Quality of Mobile Phones Changes over Time. Proceedings of the NordiCHI ’06: Proceedings of the 4th Nordic Conference on Human-Computer Interaction: Changing Roles, Oslo, Norway.
50. Roto, V., Law, E.L.C., Vermeeren, A., and Hoonhout, J. (2022, September 10). Demarcating User Experience Dagstuhl Seminar. Available online: http://drops.dagstuhl.de/opus/volltexte/2011/2949/pdf/10373_AbstractsCollection.2949.pdf.
51. Blythe, M.A., Overbeeke, K., Monk, A.F., and Wright, P.C. (2004). The Thing and I: Understanding the Relationship Between User and Product. Funology: From Usability to Enjoyment, Springer Netherlands.
52. Kujala, S., Roto, V., Väänänen-Vainio-Mattila, K., and Sinnelä, A. (2011, January 22–25). Identifying Hedonic Factors in Long-Term User Experience. Proceedings of the 2011 Conference on Designing Pleasurable Products and Interfaces—DPPI ’11, Milano, Italy.10.1145/2347504.2347523 ↗
53. Expectation Disconfirmation and Technology Adoption: Polynomial Modeling and Response Surface Analysis10.2307/20721428 ↗
54. Vermeeren, A.P.O.S., Law, E.L.C., Roto, V., Obrist, M., Hoonhout, J., and Väänänen-Vainio-Mattila, K. (2010, January 16–20). User experience evaluation methods: Current state and development needs. Proceedings of the NordiCHI 2010, Extending Boundaries, 6th Nordic Conference on Human-Computer Interaction, Reykjavik Iceland.10.1145/1868914.1868973 ↗
55. Mahlke, S., and Thuering, M. (May, January 28). Studying Antecedent of Emotional Experiences in Interactive Contexts. Proceedings of the CHI ‘07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, San Jose, CA, USA.
56. The meCUE Questionnaire: A Modular Tool for Measuring User Experience10.1007/978-3-319-41685-4_11 ↗
57. The Diary: Diary-Interview Method10.1177/089124167700500406 ↗
58. Using diaries in social research
59. Holloway, I., and Wheeler, S. (2013). Qualitative Research in Nursing and Healthcare, Wiley-Blackwell. [3rd ed.].
60. Redmiles, E.M., Bodford, J., and Blackwell, L. (2019, January 11–14). “I Just Want to Feel Safe”: A Diary Study of Safety Perceptions on Social Media. Proceedings of the International AAAI Conference on Web and Social Media, Münich, Germany. Available online: https://ojs.aaai.org/index.php/ICWSM/article/view/3356.10.1609/icwsm.v13i01.3356 ↗
61. Lazar, A., Koehler, C., Tanenbaum, T.J., and Nguyen, D.H. (2015, January 7–11). Why We Use and Abandon Smart Devices. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ’15, Osaka, Japan.10.1145/2750858.2804288 ↗
62. User acceptance of smart wearable devices: An expectation-confirmation model approach10.1016/j.tele.2019.101318 ↗
63. Describing the User Experience of Wearable Fitness Technology through Online Product Reviews10.1177/1541931213601248 ↗
64. Delight by Design: The Role of Hedonic Versus Utilitarian Benefits10.1509/JMKG.72.3.048 ↗
65. Measuring the dynamics of remembered experience over time10.1016/j.intcom.2010.04.003 ↗
66. Marcus, A., and Wang, W. (2018). Can We Distinguish Pragmatic from Hedonic User Experience Qualities with Implicit Measures?. BT—Design, User Experience, and Usability: Theory and Practice, Springer International Publishing.
67. Gemperle, F., Kasabach, C., Stivoric, J., Bauer, M., and Martin, R. (1998, January 19–20). Design for Wearability. Proceedings of the Second International Symposium on Wearable Computers, Pittsburgh, PA, USA.
68. The Impact of Technological Trust and Self-Determined Motivation on Intentions to use Wearable Fitness Technology10.1177/1541931213601329 ↗
69. How User Experience Changes over Time: A Case Study of Social Network Services10.1002/hfm.20583 ↗
70. User Experience Over Time10.1007/978-3-642-31000-3_4 ↗