Skip to main content

Design Guidelines of Social-Assisted Robots for the Elderly: A Mixed Method Systematic Literature Review

  • Conference paper
  • First Online:
HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12425))

Included in the following conference series:

Abstract

This review aims to provides a design criterion for the design and development of SARs to help product designers and researchers who are actively engaged in this field. Our focus is on the product users’ three major levels of needs, namely: (1) Functionality - Subject to the users’ physical aging and other limitations, the functions and roles of SARs are derived from different users’ background living environmental factors. These differing factors affects their preferences in what functions SARs could play in their lives, and how efficiently these can be carried out. (2) Usability - This involves interactions between the users’ perception and spatial environment and their restricted physical capabilities. To facilitate the elderly’s ability to move with minimal physical exertion, (i) employ operating methods based on lifestyle habits and past experiences of using similarly related products, (ii) use technological assistance to reduce user learning curve and learning pressure, and (iii) apply multi-modal assistance to reduce the need for change of existing living patterns and habits. (3) Pleasure: Pleasure is derived from emotions, attitudes, acceptances, experiences and interactions. This includes Physical Pleasure, Social Pleasure, Psychological Pleasure and Ideological Pleasure. Each brings a different type of pleasure to the elderly. There is a need for further research the requirements of the elderly for SARs design. From the research results, this three-level analysis provide a set of design criteria for developers to build SARs that are more in tune with the physical and mental capabilities of the elderly user.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Thomas, J., Harden, A.: Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med. Res. Methodol. 8, 45 (2008). https://doi.org/10.1186/1471-2288-8-45

    Article  Google Scholar 

  2. Colombo, F., Llena-Nozal, A., Mercier, J., Tjadens, F.: Help wanted? Providing and paying for long-term care (2011). https://doi.org/10.1787/9789264097759-en

  3. Kachouie, R., Sedighadeli, S., Khosla, R., Chu, M.-T.: Socially assistive robots in elderly care: a mixed-method systematic literature review. Int. J. Hum. Comput. Interact. 30, 369–393 (2014)

    Article  Google Scholar 

  4. Broekens, J., Heerink, M., Rosendal, H.: Assistive social robots in elderly care: a review (2009)

    Google Scholar 

  5. Chen, T.L., et al.: Older adults’ acceptance of a robot for partner dance-based exercise. PLoS ONE 12(10), e0182736–e0182736 (2017). https://doi.org/10.1371/journal.pone.0182736

    Article  Google Scholar 

  6. Van Wynsberghe, A.: Designing robots for care: care centered value-sensitive design. Sci. Eng. Ethics 19(2), 407–433 (2013). https://doi.org/10.1007/s11948-011-9343-6

    Article  Google Scholar 

  7. Dixon-Woods, M., Agarwal, S., Jones, D., Young, B., Sutton, A.: Synthesising qualitative and quantitative evidence: a review of possible methods. J. Health Serv. Res. 10(1), 45–53 (2005)

    Article  Google Scholar 

  8. Greenhalgh, T., Peacock, R.: Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. BMJ Case Rep. 331, 1064–1065 (2005)

    Google Scholar 

  9. Liberati, A., Altman, D.G., Tetzlaff, J., Mulrow, C., Gøtzsche, P.C.: The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Biol. 62, e1–e34 (2009)

    Google Scholar 

  10. Caleb-Solly, P., Dogramadzi, S., Huijnen, C., van den Heuvel, H.: Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. Inf. Soc. 34(3), 153–165 (2018). https://doi.org/10.1080/01972243.2018.1444255

    Article  Google Scholar 

  11. De Carolis, B., Ferilli, S., Palestra, G.: Simulating empathic behavior in a social assistive robot. Multimed. Tools Appl. 76(4), 5073–5094 (2016). https://doi.org/10.1007/s11042-016-3797-0

    Article  Google Scholar 

  12. Cavallo, F., et al.: Robotic services acceptance in smart environments with older adults: user satisfaction and acceptability study. J. Med. Internet Res. 20(9), 19 (2018). https://doi.org/10.2196/jmir.9460

    Article  Google Scholar 

  13. Di Nuovo, A., et al.: The multi-modal interface of Robot-Era multi-robot services tailored for the elderly. Intel. Serv. Robot. 11(1), 109–126 (2017). https://doi.org/10.1007/s11370-017-0237-6

    Article  Google Scholar 

  14. Eftring, H., Frennert, S.: Designing a social and assistive robot for seniors. Zeitschrift Fur Gerontologie Und Geriatrie 49(4), 274–281 (2016). https://doi.org/10.1007/s00391-016-1064-7

    Article  Google Scholar 

  15. Lee, S., Naguib, A.M.: Toward a sociable and dependable elderly care robot: design, implementation and user study. J. Intell. Rob. Syst.: Theory Appl. 98(1), 5–17 (2019). https://doi.org/10.1007/s10846-019-01028-8

    Article  Google Scholar 

  16. Moro, C., Lin, S., Nejat, G., Mihailidis, A.: Social robots and seniors: a comparative study on the influence of dynamic social features on human–robot interaction. Int. J. Soc. Robot. 11(1), 5–24 (2018). https://doi.org/10.1007/s12369-018-0488-1

    Article  Google Scholar 

  17. Zsiga, K., Toth, A., Pilissy, T., Peter, O., Denes, Z., Fazekas, G.: Evaluation of a companion robot based on field tests with single older adults in their homes. Assist. Technol. 30(5), 259–266 (2018). https://doi.org/10.1080/10400435.2017.1322158

    Article  Google Scholar 

  18. McGlynn, S.A., Kemple, S., Mitzner, T.L., King, C.H.A., Rogers, W.A.: Understanding the potential of PARO for healthy older adults. Int. J. Hum.-Comput. Stud. 100, 33–47 (2017). https://doi.org/10.1016/j.ijhcs.2016.12.004

    Article  Google Scholar 

  19. , .: . [User Experience Test of Companion Robot and Its Innovative Usage among Older Adults-Use Zenbo as an Example]. 6(3), 265–282 (2018). https://doi.org/10.6283/jocsg.201809_6(3).265

  20. Kim, S.C., Lee, B.K., Kim, C.Y.: Usability evaluation of communication service robot for the elderly. J. Back Musculoskelet. Rehabil. 32(2), 313–319 (2019). https://doi.org/10.3233/bmr-169655

    Article  Google Scholar 

  21. Baisch, S., et al.: Acceptance of social robots by elder people: does psychosocial functioning matter? Int. J. Soc. Robot. 9(2), 293–307 (2017). https://doi.org/10.1007/s12369-016-0392-5

    Article  Google Scholar 

  22. Karunarathne, D., Morales, Y., Nomura, T., Kanda, T., Ishiguro, H.: Will older adults accept a humanoid robot as a walking partner? Int. J. Soc. Robot. 11(2), 343–358 (2018). https://doi.org/10.1007/s12369-018-0503-6

    Article  Google Scholar 

  23. , .: . [Study on Service Experience Insight of Use of Zenbo Robot by Silver-haired People]. 7(1), 467–489 (2019). https://doi.org/10.6283/jocsg.201903_7(1).467

  24. Chu, L., et al.: Identifying features that enhance older adults’ acceptance of robots: a mixed methods study. Gerontology 65, 441–450 (2019). https://doi.org/10.1159/000494881

    Article  Google Scholar 

  25. Gerlowska, J., et al.: Assessment of perceived attractiveness, usability, and societal impact of a multimodal robotic assistant for aging patients with memory impairments. Front. Neurol. 9, 13 (2018). https://doi.org/10.3389/fneur.2018.00392

    Article  Google Scholar 

  26. World Health Organization (WHO): World report on ageing and health, Geneva (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fang-Wu Tung .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lin, CC., Liao, HY., Tung, FW. (2020). Design Guidelines of Social-Assisted Robots for the Elderly: A Mixed Method Systematic Literature Review. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. Lecture Notes in Computer Science(), vol 12425. Springer, Cham. https://doi.org/10.1007/978-3-030-60128-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60128-7_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60127-0

  • Online ISBN: 978-3-030-60128-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics