Advertisement

Demonstrating Wellbeing and Healthcare HCI Through Multidisciplinary Innovation and Experiential Prototyping

  • Wei LiuEmail author
  • Xin Zhao
  • Wenjie Pan
  • Dan Qin
  • Menghua Tan
Conference paper
  • 20 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1205)

Abstract

Multidisciplinary design research is a development trend of scientific research and design innovation. Through multi-angle and multi-dimensional design innovation, multidisciplinary teams help various fields solve complex design problems. This study demonstrates three cases that focus on the healthcare field. The age of the target user groups ranges from a five-year-old child to a seventy-year-old man. We explore different users’ needs, materialize design innovation through multidisciplinary collaboration. Three wellbeing and healthcare auxiliary demonstrations are designed and developed for busy white-collars, children who are afraid of visiting doctors, and the elderly who take long-term medication, which includes a smart wearable device, children’s diagnosis companion toy, and smart pillbox. These prototypes meet users’ health needs in different contexts through informal user testing sessions. Furthermore, they encourage a healthy lifestyle and show humanistic care to target users.

Keywords

Multidisciplinary Design innovation Wellbeing and healthcare HCI design User experience 

Notes

Acknowledgments

We would like to thank our teaching team, students, and the Fulbright Research Scholar Grant (ID: PS00284539).

References

  1. 1.
    Dunn, J.L., Nusem, E., Straker, K., Gregory, S., Wrigley, C.: Human factors and user experience issues with ventricular assist device wearable components: a systematic review. Ann. Biomed. Eng. 47(12), 2431–2488 (2019)CrossRefGoogle Scholar
  2. 2.
    Ben, S., Philip, H.: A case study of an interaction design approach to pervasive healthcare. In: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 239–244. ACM Press (2018)Google Scholar
  3. 3.
    Wang, J., Yan, Y., Zhang, L.: Research on the design principles for intelligent products. In: Proceedings of the International Conference on Human-Computer Interaction, pp. 351–367. Springer (2019)Google Scholar
  4. 4.
    Dickerson, R., Gorlin, E., Stankovic, J.: Empath: a continuous remote emotional health monitoring system for depressive illness. In: Proceedings of the 2nd Conference on Wireless Health (2011)Google Scholar
  5. 5.
    Shi, K.: Research on the security enhanced smart hardware assisted regression analysis and health monitoring technique based expanded training exercise effect evaluation model. Int. J. Secur. Appl. 10(2), 311–324 (2016)Google Scholar
  6. 6.
    Piotr, D.A., Michael, B.T.: Supporting multidisciplinary collaboration: requirements from novel HCI education. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1073–1076. ACM Press (2007)Google Scholar
  7. 7.
    Reiter-Palmon, R., Leone, S.: Facilitating creativity in multidisciplinary design teams using cognitive processes: a review. Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. 233(2), 385–394 (2019)CrossRefGoogle Scholar
  8. 8.
    Ishida, T., Sawaragi, T., Nakakoji, K., Sogo, T.: Multidisciplinary education for design innovation. Computer 50(5), 44–52 (2017)CrossRefGoogle Scholar
  9. 9.
    Wensveen, S.A.G.: A tangibility approach to affective interaction. Doctoral dissertation, Eindhoven University of Technology, Eindhoven (2005)Google Scholar
  10. 10.
    Carleton, T., Leifer, L.: Stanford’s ME310 course as an evolution of engineering design. In: Proceedings of the 19th CIRP Design Conference-Competitive Design, pp. 547–554. Cranfield University Press (2009)Google Scholar
  11. 11.
    Qaosar, M., Ahmed, S., Li, C., Morimoto, Y.: Hybrid sensing and wearable smart device for health monitoring and medication: opportunities and challenges. In: AAAI Spring Symposium Series (2018)Google Scholar
  12. 12.
    Eskofier, B., Lee, S., Baron, M., Simon, A., Martindale, C., Gaßner, H., Klucken, J.: An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring. Appl. Sci. 7(10), 986 (2017)CrossRefGoogle Scholar
  13. 13.
    National Institutes of Health: Office of strategic coordination: The common fund. NIH director’s early independence award program (2014)Google Scholar
  14. 14.
    National Institutes of Health: Introduction of grand challenges for engineering: health (2017)Google Scholar
  15. 15.
    National Institute on Aging: Aging well in the 21st century: strategic directions for research on aging (2016)Google Scholar
  16. 16.
    National Science Foundation: Introduction to interdisciplinary research (2017)Google Scholar
  17. 17.
    Dermody, G., Fritz, R.: A conceptual framework for clinicians working with artificial intelligence and health-assistive smart homes. Nurs. Inq. 26(1), e12267 (2019)CrossRefGoogle Scholar
  18. 18.
    Buxton, B.: Sketching User Experiences: The Workbook. Morgan Kaufmann, Burlington (2014)Google Scholar
  19. 19.
    Houde, S., Hill, C.: What do prototypes prototype. In: Helander, M.G., Landauer, T.K., Prabhu, P.V. (eds.) Handbook of Human-Computer Interaction, pp. 367–381 (1997)Google Scholar
  20. 20.
    Liu, W., Pasman, G., Taal-Fokker, J., Stappers, P.J.: Exploring ‘Generation Y’ interaction qualities at home and at work. J. Cogn. Technol. Work 16(3), 405–415 (2014)CrossRefGoogle Scholar
  21. 21.
    Elverum, C., Welo, T., Tronvoll, S.: Prototyping in new product development: strategy considerations. Procedia CIRP 50, 117–122 (2016)CrossRefGoogle Scholar
  22. 22.
    Miotto, R., Danieletto, M., Scelza, J.R., Kidd, B.A., Dudley, J.T.: Reflecting health: smart mirrors for personalized medicine. NPJ Digit. Med. 1(1), 62 (2018)CrossRefGoogle Scholar
  23. 23.
    Castillo, J.C., Castro-González, Á., Fernández-Caballero, A., Latorre, J.M., Pastor, J.M., Fernández-Sotos, A., Salichs, M.A.: Software architecture for smart emotion recognition and regulation of the ageing adult. Cogn. Comput. 8(2), 357–367 (2016)CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wei Liu
    • 1
    Email author
  • Xin Zhao
    • 1
  • Wenjie Pan
  • Dan Qin
  • Menghua Tan
  1. 1.Faculty of PsychologyBeijing Normal UniversityBeijingPeople’s Republic of China

Personalised recommendations