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What Is Hip? – Classifying Adopters and Rejecters of Interactive Digital Textiles in Home Environments

  • Julia van Heek
  • Philipp Brauner
  • Martina Ziefle
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 869)

Abstract

The omnipresence and familiarity of textiles in combination with the integration of invisible sensors, actuators, and information and communication technology under the term “interactive digital textiles” offer the potential of bridging the gap between age, the aging-population, and latest information and communication technology. Digital textiles are reaching maturity and first technology augmented cloths are becoming commercially available. However, little is known about the acceptance and projected use of digital textiles for/in home environments and whether acceptance is shaped by age, gender, expertise in interacting with technology, or other aspects of user diversity. In a survey with \(n=136\) participants, we identified and quantified factors that influence the adoption and rejection of a smart cushion as example for digital textiles. We found that attitude towards technology and attitude towards automation are decisive for the projected acceptance, while age plays a minor role. In addition, we provide a customer segmentation based on the projected use and provide detailed descriptions of adopters and rejecters as well as their model-based evaluations of the smart interactive cushion. The article concludes with open research questions and strategies for practitioners to leverage smart textile interfaces as basis for many innovative products in the future.

Keywords

Digital textiles User diversity Participatory design Technology acceptance Adopters & rejecters Customer segmentation 

Notes

Acknowledgements

The authors thank all participants for sharing their thoughts on smart textile interfaces with us. Furthermore, the research support of Jens Keulen and Sarah Voelkel is highly acknowledged. This project is funded by the German Ministry of Education and Research (BMBF) under project Intuitex (16SV6270) [33].

References

  1. 1.
    Robinson, S.: History of Dyed Textiles. MIT Press, Cambridge (1970)Google Scholar
  2. 2.
    Kvavadze, E., Bar-Yosef, O., Belfer-Cohen, A., Boaretto, E., Jakeli, N., Matskevich, Z., Meshveliani, T.: 30,000-year-old wild flax fibers. Science (N. Y., NY) 325, 1359 (2009)CrossRefGoogle Scholar
  3. 3.
    Weiser, M.: The computer for the 21st century. Sci. Am. 265, 94–104 (1991)CrossRefGoogle Scholar
  4. 4.
    Post, E.R., Orth, M.: Smart fabric, or “wearable clothing”. In: Proceedings of the 1st IEEE International Symposium on Wearable Computers, ISWC 1997, pp. 167–168. IEEE Computer Society, Washington, DC (1997)Google Scholar
  5. 5.
    Post, E.R., Orth, M., Russo, P.R., Gershenfeld, N.: E-broidery: design and fabrication of textile-based computing. IBM Syst. J. 39, 840–860 (2000)CrossRefGoogle Scholar
  6. 6.
    Poupyrev, I., Gong, N.W., Fukuhara, S., Karagozler, M.E., Schwesig, C., Robinson, K.E.: Project Jacquard: interactive digital textiles at scale. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 4216–4227 (2016)Google Scholar
  7. 7.
    Giannakouris, K.: Ageing characterises the demographic perspectives of the European societies. Technical report, EUROSTAT (2008)Google Scholar
  8. 8.
    Selwyn, N., Gorard, S., Furlong, J., Madden, L.: Older adults’ use of information and communications technology in everyday life. Ageing Soc. 23, 561–582 (2003)CrossRefGoogle Scholar
  9. 9.
    Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Comput. Hum. Behav. 23, 2904–2927 (2007)CrossRefGoogle Scholar
  10. 10.
    Schreder, G., Smuc, M., Siebenhandl, K., Mayr, E.: Age and computer self-efficacy in the use of digital technologies: an investigation of prototypes for public self-service terminals. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2013. LNCS, vol. 8010, pp. 221–230. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-39191-0_25CrossRefGoogle Scholar
  11. 11.
    Morris, A.: E-literacy and the grey digital divide: a review with recommendations. J. Inf. Lit. 1, 13–28 (2007)Google Scholar
  12. 12.
    Zimmermann, G., Alexandersson, J., Buiza, C., Urdaneta, E., Diaz, U., Carrasco, E., Klima, M., Pfalzgraf, A.: Intelligent technologies for bridging the grey digital divide. In: Intelligent Technologies for Bridging the Grey Digital Divide, pp. 80–93 (2011)Google Scholar
  13. 13.
    Cherenack, K., van Pieterson, L.: Smart textiles: challenges and opportunities. J. Appl. Phys. 112, 091301 (2012)CrossRefGoogle Scholar
  14. 14.
    Karrer, T., Wittenhagen, M., Lichtschlag, L., Heller, F., Borchers, J.: Pinstripe: eyes-free continuous input on interactive clothing. In: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems, CHI 2011, pp. 1313–1322 (2011)Google Scholar
  15. 15.
    Hamdan, N.A.h., Blum, J.R., Heller, F., Kosuru, R.K., Borchers, J.: Grabbing at an angle: menu selection for fabric interfaces. In: Proceedings of the 2016 ACM International Symposium on Wearable Computers, ISWC 2016, pp. 1–7. ACM, New York (2016)Google Scholar
  16. 16.
    Saponas, T.S., Harrison, C., Benko, H.: PocketTouch: through-fabric capacitive touch input. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 303–308. ACM (2011)Google Scholar
  17. 17.
    Perner-Wilson, H., Buechley, L., Satomi, M.: Handcrafting textile interfaces from a kit-of-no-parts. In: Proceedings of the Fifth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 61–68. ACM (2011)Google Scholar
  18. 18.
    Heller, F., Oßmann, L., Al-huda Hamdan, N., Brauner, P., Van Heek, J., Scheulen, K., Möllering, C., Großen, L., Witsch, R., Ziefle, M., Gries, T., Borchers, J.: Gardeene! textile controls for the home environment. In: Short Paper at Mensch und Computer 2016, Gesellschaft für Informatik (2016)Google Scholar
  19. 19.
    Rus, S., Braun, A., Kuijper, A.: E-textile couch: towards smart garments integrated furniture. In: Braun, A., Wichert, R., Maña, A. (eds.) AmI 2017. LNCS, vol. 10217, pp. 214–224. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-56997-0_17CrossRefGoogle Scholar
  20. 20.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRefGoogle Scholar
  21. 21.
    Venkatesh, V., Thong, J.Y.L., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36, 157–178 (2012)CrossRefGoogle Scholar
  22. 22.
    Holleis, P., Schmidt, A., Paasovaara, S., Puikkonen, A., Häkkilä, J.: Evaluating capacitive touch input on clothes. In: Proceedings of the 10th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI 2008, pp. 81–90. ACM, New York (2008)Google Scholar
  23. 23.
    van Heek, J., Schaar, A.K., Trevisan, B., Bosowski, P., Ziefle, M.: User requirements for wearable smart textiles: does the usage context matter (medical vs. sports)? In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2014, pp. 205–209. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels (2014)Google Scholar
  24. 24.
    Hildebrandt, J., Brauner, P., Ziefle, M.: Smart textiles as intuitive and ubiquitous user interfaces for smart homes. In: Zhou, J., Salvendy, G. (eds.) DUXU 2015. LNCS, vol. 9194, pp. 423–434. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-20913-5_39CrossRefGoogle Scholar
  25. 25.
    Ziefle, M., Brauner, P., Heidrich, F., Möllering, C., Lee, K., Armbrüster, C.: Understanding requirements for textile input devices individually tailored interfaces within home environments. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2014. LNCS, vol. 8515, pp. 589–600. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-07446-7_57CrossRefGoogle Scholar
  26. 26.
    Ziefle, M., Brauner, P., van Heek, J.: Intentions to use smart textiles in AAL home environments: comparing younger and older adults. In: Zhou, J., Salvendy, G. (eds.) ITAP 2016. LNCS, vol. 9754, pp. 266–276. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-39943-0_26CrossRefGoogle Scholar
  27. 27.
    Karrer, K., Glaser, C., Clemens, C.: Technikaffinität erfassen – Der Fragebogen TA-EG [Measuring Affinity to Technology]. ZMMS Spektrum - Der Mensch im Mittelpunkt technischer Systeme. 8. Berliner Werkstatt Mensch-Maschine-Systeme, vol. 22, pp. 196–201 (2009)Google Scholar
  28. 28.
    Beier, G.: Kontrollüberzeugungen im Umgang mit Technik [Locus of control when interacting with technology]. Rep. Psychol. 24, 684–693 (1999)Google Scholar
  29. 29.
    Bandura, A.: Self-efficacy mechanism in human agency. Am. Psychol. 37, 122–147 (1982)CrossRefGoogle Scholar
  30. 30.
    Brauner, P., van Heek, J., Martina, Z.: Age, gender, and technology attitude as factors for acceptance of smart interactive textiles in home environments - towards a smart textile technology acceptance model. In: Proceedings of the International Conference on ICT for Aging well (ICT4AWE 2017), pp. 53–56. SCITEPRESS - Science and Technology Publications (2017)Google Scholar
  31. 31.
    Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company, Inc., Reading (1975)Google Scholar
  32. 32.
    Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)CrossRefGoogle Scholar
  33. 33.
    Brauner, P., et al.: Towards accepted smart interactive textiles. In: Nah, F.F.-H., Tan, C.-H. (eds.) HCIBGO 2017. LNCS, vol. 10293, pp. 279–298. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-58481-2_22CrossRefGoogle Scholar
  34. 34.
    Aarts, E.: Ambient intelligence: a multimedia perspective. IEEE Multimedia 11(1), 12–19 (2004)CrossRefGoogle Scholar
  35. 35.
    Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Müller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis, C. (ed.) UAHCI 2007. LNCS, vol. 4555, pp. 103–112. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-73281-5_11CrossRefGoogle Scholar
  36. 36.
    van Heek, J., Himmel, S., Ziefle, M.: Helpful but spooky? Acceptance of AAL-systems contrasting user groups with focus on disabilities and care needs. In: Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health: ICT4AWE, INSTICC, pp. 78–90. SciTePress (2017)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Julia van Heek
    • 1
  • Philipp Brauner
    • 1
  • Martina Ziefle
    • 1
  1. 1.Chair for Communication Science, Human-Computer Interaction CenterRWTH Aachen UniversityAachenGermany

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