Skip to main content

Designing an Abnormal Posture Detection System to Prevent Accidents During Meal Assistance for Older Adults: A User-Centered Design Approach

  • Conference paper
  • First Online:
Advances in Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 263))

Included in the following conference series:

  • 2259 Accesses

Abstract

This paper proposes a user-centered design (UCD) method and demonstrates the assistive device design, incorporating user involvement and the risk management approach throughout the design process, in a Japanese day-care facility for older adults. The study focused on the lunchtime problem, where there is a limited number of nursing staff for meal assistance and supervision of users to ensure their safety. An abnormal posture notification system that met the technical/functional and user requirements was successfully designed by conducting participant observations and using human error-proofing principles. This approach enabled timely identification of proper solutions in the care facility and areas for improvement, and thus the discovery of users and use-cases that were not initially envisioned.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. World Health Organization: World Report on Aging and Health. WHO, Luxembourg (2015)

    Google Scholar 

  2. Kobayashi, N., Iwasaki, M., Ito, Y., Lindborg, A.-L., Ohashi, T., Saijo, M.: Device improvement by video analysis of user tests: case study of a robotic assistive device for the frail elderly. In: 3rd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2019), pp. 2–7 (2019)

    Google Scholar 

  3. Zhang, C., et al.: A Monte Carlo based computation offloading algorithm for feeding robot IoT system. In: Qiu, M. (ed.) SmartCom. LNCS, vol. 11344, pp. 163–171. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-05755-8_17

    Chapter  Google Scholar 

  4. Ohashi, T., Watanabe, M., Saijo, M.: An interaction analysis of user-testing to extract salient user experience with the robotic assistive device life-walker. In: ICRA 2017 Workshop on Advances and Challenges on the Development, Testing and Assessment of Assistive and Rehabilitation Robots: Experiences from Engineering and Human Science Research, ICRA2017, Singapore, pp. 57–59 (2017)

    Google Scholar 

  5. Watanabe, M., Washio, T., Iwasaki, M., Arai, T., Saijo, M., Ohashi, T.: How effectively do experts predict elderly target-users of assistive devices? importance of expert knowledge in device development. In: Marcus, A., Rosenzweig, E. (eds.) HCII 2020. LNCS, vol. 12200, pp. 278–293. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49713-2_20

    Chapter  Google Scholar 

  6. Saijo, M., Watanabe, M., Aoshima, S., Oda, N., Matsumoto, S., Kawamoto, S.: Knowledge creation in technology evaluation of 4-wheel electric power assisted bicycle for frail elderly persons - a case study of a salutogenic device in healthcare facilities in Japan. In: Liu, K., Filipe, J. (eds.) Proceedings of the International Conference on Knowledge Management and Information Sharing, pp. 87–97. SCITEPRESS (2014)

    Google Scholar 

  7. Schulz, R., Wahl, H.-W., Matthews, J.T., De Vito Dabbs, A., Beach, S.R., Czaja, S.J.: Advancing the aging and technology agenda in gerontology. Gerontologist 55, 724–734 (2015)

    Article  Google Scholar 

  8. Merino, G.S.A.D., Pichler, R.F., Domenech, S., Rech, Z., Merino, E.A.D.: Design of assistive devices and occupational therapy: case study in a Brazilian psychiatric hospital. Adv. Intell. Syst. Comput. 588, 529–540 (2018)

    Google Scholar 

  9. Dorrington, P., Wilkinson, C., Tasker, L., Walters, A.: User-centered design method for the design of assistive switch devices to improve user experience, accessibility, and independence. J. Usability Stud. 11, 66–82 (2016)

    Google Scholar 

  10. Mao, J.Y., Vredenburg, K., Smith, P.W., Carey, T.: The state of user-centered design practice. Commun. ACM. 48, 105–109 (2005)

    Article  Google Scholar 

  11. International Organization for Standardization: ISO 9241–210 Ergonomics of Human-system Interaction — Part 210: Human-centered Design for Interactive Systems. ISO, Geneva (2019)

    Google Scholar 

  12. Ministry of Health, Labour and Welfare: Guidelines for Development of Welfare Equipment and Nursing Care Robots. MHLW, Tokyo (2014). (in Japanese)

    Google Scholar 

  13. Ohashi, T., Watanabe, M., Takenaka, Y., Saijo, M.: Real-time assessment of causal attribution shift and stay between two successive tests of movement aids. Integr. Psychol. Behav. Sci. (in Press)

    Google Scholar 

  14. Kuhl, J., Sankowski, O., Krause, D.: Investigation on methods and characteristics in medical device development. Proc. Des. Soc. Des. Conf. 1, 1969–1978 (2020)

    Article  Google Scholar 

  15. Jorgensen, D.L.: Participant Observation: A Methodology for Human Studies. SAGE, California (1989)

    Book  Google Scholar 

  16. Nakajo, T., Clapp, T.G., Godfrey, A.B.: Error proofing in Healthcare. Iryo Shakai 16, 127–137 (2006). (in Japanese)

    Article  Google Scholar 

  17. Yokoyama, S.: A way of bruner: from “acts of meaning” to “meaning of acts.” Qual. Psychol. Forum. 10, 24–32 (2018). (in Japanese)

    Google Scholar 

  18. Korpershoek, Y.J.G., Hermsen, S., Schoonhoven, L., Schuurmans, M.J., Trappenburg, J.C.A.: User-centered design of a mobile health intervention to enhance exacerbation-related self-management in patients with chronic obstructive pulmonary disease (copilot): mixed methods study. J. Med. Internet Res. 22, 1–19 (2020)

    Article  Google Scholar 

  19. King, D.E.: Dlib-ml: a machine learning toolkit. J. Mach. Learn. Res. 10, 1755–1758 (2009)

    Google Scholar 

  20. Kazemi, V., Sullivan, J.: One millisecond face alignment with an ensemble of regression trees. In: Proceedings of IEEE Computing Society Conference on Computing Vision and Pattern Recognition, pp. 1867–1874 (2014)

    Google Scholar 

Download references

Acknowledgments

This study was partly supported by COI (JPMJCE1309) and SICORP of the Japan Science and Technology Agency.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takumi Ohashi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ohashi, T., Ito, Y., Kurabayashi, D., Saijo, M. (2021). Designing an Abnormal Posture Detection System to Prevent Accidents During Meal Assistance for Older Adults: A User-Centered Design Approach. In: Kalra, J., Lightner, N.J., Taiar, R. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2021. Lecture Notes in Networks and Systems, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-80744-3_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80744-3_43

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80743-6

  • Online ISBN: 978-3-030-80744-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics