Skip to main content

I Feel You

  • Conference paper
  • First Online:
Human-Centered Software Engineering (HCSE 2022)

Abstract

Digital twins refer to a digital replica of potential actual physical assets, people, or systems, which are relevant for the future of digital health. These virtual replicas can be used to perform simulations that help assess possible risks, test performance, and optimize processes before applying them in the real world. Applied to the healthcare sector, a digital twin can refer to a replica of a patient or certain aspects of a human, like body parts, body organs or body systems. As a digital twin would age with the owner the question arises as to how we should visualize our digital twin (i.e., how to represent ourselves in a digital way with data). We do not yet know how people want their data (quantitative or qualitative) to be represented as digital twins. We addressed this question using generative design research methods, and more particularly co-design sessions that explored users’ perspectives and design preferences on digital twins. Our findings suggest a preference for qualitative representation unless there are emergency alerts, in which quantitative representations were preferred. People were reluctant towards health forecasting through a digital twin and saw it more as a reflection tool to improve quality of life.

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 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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

Notes

  1. 1.

    https://www.happybots.nl/.

  2. 2.

    http://www.parorobots.com/.

  3. 3.

    https://crew.brussels/en.

  4. 4.

    https://designthinking.ideo.com/.

  5. 5.

    https://miro.com/.

  6. 6.

    https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home.

  7. 7.

    https://www.who.int/health-topics/social-determinants-of-health.

  8. 8.

    https://ec.europa.eu/info/departments/health-and-food-safety_en.

  9. 9.

    https://ec.europa.eu/commission/presscorner/detail/en/IP_21_1682.

References

  1. Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication. USA (2014)

    Google Scholar 

  2. Lupton, D.: Data Selves, More-than-Human Perspectives. Wiley (2019)

    Google Scholar 

  3. Smith, G.: Surveillance, data and embodiment: on the work of being watched. Body Soc. 22, 108–139 (2016)

    Article  Google Scholar 

  4. Lakoff, G.: Metaphors We Live By. University of Chicago Press, Chicago (1980)

    Google Scholar 

  5. Gibbs, R.: The Poetics of Mind: Figurative Thought, Language, and Understanding. Cambridge University Press, Cambridge (1994)

    Google Scholar 

  6. Schwartz, S.: Digital twins and the emerging science of self: implications for digital health experience design and “small” data. Front. Comput. Sci. 2, 31 (2020)

    Article  Google Scholar 

  7. Lupton, D.: The digitally engaged patient: self-monitoring and self-care in the digital health era. Soc. Theory Health 11, 256–270 (2013). https://doi.org/10.1057/sth.2013.10

    Article  Google Scholar 

  8. Sharon, T.: Self-tracking for health and the quantified self: re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philos. Technol. 30(1), 93–121 (2017)

    Article  Google Scholar 

  9. El Saddik, A.: Digital twins: the convergence of multimedia technologies. IEEE Multimed. Comput. Soc. 25(2), 87–92 (2018)

    Article  Google Scholar 

  10. Fuller, A.: Digital twin: enabling technology, challenges and open research. IEEE Access 8, 108952–108971 (2020)

    Article  Google Scholar 

  11. Bruynseels, K.: Digital twins in health care: ethical implications of an emerging engineering paradigm. Front. Genet. 31 (2018)

    Google Scholar 

  12. Pols, J.: Caring devices: about warm hands, cold technology and making things fit. In: Care at a Distance: on the Closeness of Technology. Amsterdam University Press (2012)

    Google Scholar 

  13. Choe, E.: Characterizing visualization insights from quantified selfers’ personal data presentations. IEEE Comput. Graph. Appl. 35(4), 28–37 (2015)

    Article  Google Scholar 

  14. Vannini, P.: Non-representational methodologies: reenvisioning research. Routledge (2015)

    Google Scholar 

  15. Anderson, B.: Affective atmospheres. Emot. Space Soc. 2(2), 77–81 (2009)

    Article  MathSciNet  Google Scholar 

  16. Ash, J.: Rethinking affective atmospheres: technology, perturbation and space times of the non-human. Geoforum 49, 20–28 (2013)

    Article  Google Scholar 

  17. Bickmore, T.: Towards caring machines. conference on human factors in computing systems. CHI 2004. MIT Media Laboratory, Vienna (2004). https://www.media.mit.edu/people/picard/projects/

  18. Argyle, M.: Bodily Communication, 2nd edn. Routledge (1988)

    Google Scholar 

  19. Happybots, Felix, een maatje om aan te vertellen hoe je je voelt (2021). https://www.happybots.nl/

  20. Hung, L.L.: The benefits of and barriers to using a social robot PARO in care settings: a scoping review. BMC Geriatr 19(1), 1–10 (2019)

    Article  MathSciNet  Google Scholar 

  21. Wan, E.: “I’m like a wise little person”: notes on the metal performance of woebot the mental health chatbot. Theatre J. 73(3), E-21–E-30 (2021)

    Google Scholar 

  22. Picard, R.: Computers that recognise and respond to user emotion: theoretical and practical implications. Interact. Comput. 14(2), 141–169 (2002)

    Article  Google Scholar 

  23. Murnane, E.: Designing ambient narrative-based interfaces to reflect and motivate physical activity. In: Proceedings of the SIGCHI Conference on Human Factors in Computing systems. CHI Conference (2020)

    Google Scholar 

  24. IDEO Design Thinking. https://designthinking.ideo.com/

  25. Lockton, D.: Sleep ecologies: tools for snoozy autoethnography. In: Proceedings of the 2020 ACM Designing Interactive Systems Conference. Association for Computing Machinery. ACM (2020)

    Google Scholar 

  26. Braun, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)

    Article  Google Scholar 

  27. Lupton, D.: How does health feel? Towards research on the affective atmospheres of digital health. Digital Health 3, 1–11 (2017)

    Article  Google Scholar 

  28. Anderson, J.: Concerns about human agency, evolution and survival (2018). https://www.pewresearch.org/internet/2018/12/10/concerns-about-human-agency-evolution-and-survival/

  29. AI HLEG: Ethics Guidelines for Trustworthy AI. Brussels (2019). https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai

  30. Bartneck, C.: An Introduction to Ethics in Robotics and AI. SpringerBriefs in Ethics (2020)

    Google Scholar 

  31. EU commission: Europe Fit for the Digital Age: Artificial Intelligence (2021). https://ec.europa.eu/commission/presscorner/detail/en/IP_21_1682

  32. Hancı, E.: The impact of mindset on self-tracking experience. Front. Digital Health (2021)

    Google Scholar 

  33. Hancı, E., Ruijten, P.A.M., Lacroix, J., Kersten-van Dijk, E.T., IJsselsteijn, W.A.: Are trackers social actors? The role of self-tracking on self-evaluation. In: Oinas-Kukkonen, H., Win, K.T., Karapanos, E., Karppinen, P., Kyza, E. (eds.) Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. vol. 11433, pp. 31–42. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17287-9_3

    Chapter  Google Scholar 

  34. Xie, Q.: Human-exoskeleton coupling dynamics of a multi-mode therapeutic exoskeleton for upper limb rehabilitation training. IEEE Access 9, 61998–62007 (2021)

    Article  Google Scholar 

  35. Boulos, K.: Digital twins: from personalised medicine to precision public health. J. Pers. Med. 11(8), 745 (2021)

    Article  Google Scholar 

  36. Kaziunas, E., Ackerman, M.S.: Designing for lived health: a practice-based approach for person-centered health information technologies. In: Wulf, V., Schmidt, K., Randall, D. (eds.) Designing Socially Embedded Technologies in the Real-World. pp. 357–381. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6720-4_15

    Chapter  Google Scholar 

  37. Chow, K.K.N.: Designing representations of behavioral data with blended causality: an approach to interventions for lifestyle habits. In: Oinas-Kukkonen, H., Win, K.T., Karapanos, E., Karppinen, P., Kyza, E. (eds.) Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. vol. 11433, pp. 52–64. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17287-9_5

    Chapter  Google Scholar 

  38. Bellet, P.: The importance of empathy as an interviewing skill in medicine. JAMA 266(13), 1831–1832 (1991)

    Article  Google Scholar 

  39. Levinson, W.: A study of patient clues and physician responses in primary care and surgical settings. JAMA 284(8), 1021–1027 (2000)

    Article  Google Scholar 

  40. Razzouk, R.: What is design thinking and why is it important? Rev. Educ. Res. 82(3), 330–348 (2012)

    Article  Google Scholar 

  41. De Maeyer, C.: Future outlook on the materialisation, expectations and implementation of Digital Twins in healthcare. In: 34th British HCI Conference (HCI2021), pp. 180–191. London: BCS Learning & Development Ltd. Proceedings of the BCS 34th British HCI Conference 2021, UK (2021). https://doi.org/10.14236/ewic/HCI2021.18

  42. Menheere, D.: Ivy: a qualitative interface to reduce sedentary behavior in the office context. DIS 2020 Companion - Companion Publication of the 2020 ACM Designing Interactive Systems Confer. ACM (2020)

    Google Scholar 

  43. Hanington, B.: Universal Methods of Design. Rockport Publishers, Beverly, MA (2012)

    Google Scholar 

  44. Patton, M.: Qualitative Evaluation and Research Methods. SAGE Publications (1990)

    Google Scholar 

  45. Fogg, B.: A behavior model for persuasive design. In: Proceedings of the 4th International Conference on Persuasive Technology, pp. 1–7. Association for Computing Machinery, NY (2009)

    Google Scholar 

  46. Rapp, A.: Know thyself: a theory of the self for personal informatics. Hum.–Comput. Interact. 32(5–6), 335–380 (2017)

    Google Scholar 

  47. Lupton, D.: Self-tracking modes: reflexive self-monitoring and data practices. Available at SSRN 2483549 (2014)

    Google Scholar 

  48. De Maeyer, C.: Exploring quantified self attitudes. HealthINF. Scitepress, Biostec (2018)

    Book  Google Scholar 

  49. Shin, D.: Health experience model of personal informatics: the case of a quantified self. Comput. Hum. Behav. 69, 62–74 (2017)

    Article  Google Scholar 

  50. Matthewman, S.: Theorising personal medical devices. In: Lynch, R., Farrington, C. (eds.) Quantified Lives and Vital Data. pp. 17–43. Palgrave Macmillan UK, London (2018). https://doi.org/10.1057/978-1-349-95235-9_2

    Chapter  Google Scholar 

  51. Wigdor, D.: The Natural User Interface. In: Wigdor, D. (eds) Brave NUI World, Morgan Kaufmann (2011)

    Google Scholar 

  52. Popa, E.O., van Hilten, M., Oosterkamp, E., Bogaardt, M.-J.: The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks. Life Sci. Soc. Policy 17(1), 1–25 (2021). https://doi.org/10.1186/s40504-021-00113-x

    Article  Google Scholar 

  53. Huang, P.: Ethical issues of digital twins for personalized health care service: preliminary mapping study. J. Med. Internet Res. 24(1), e33081 (2022)

    Google Scholar 

  54. Withaker, A.: Art Thinking. Haprper Collins Publishers (2016)

    Google Scholar 

  55. Bureau, S.: Art thinking: une méthode pour créer de l'improbable avec certitude. ENTREPRENDRE ET INNOVER 3–4, 88–103 (2019)

    Article  Google Scholar 

  56. Robbins, P.: From design thinking to art thinking with an open innovation perspective—a case study of how art thinking rescued a cultural institution in Dublin. J. Open Innov.: Technol. Mark. Complex. 4(4), 51 (2018)

    Google Scholar 

  57. VicarVision: AID2BeWell (2022). https://www.aid2bewell.eu/

  58. Lockton, D.: Exploring qualitative displays and interfaces. In: CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM (2017)

    Google Scholar 

  59. Sankaran, S.M.: “It’s like a puppet master”: user perceptions of personal autonomy when interacting with intelligent technologies. In: Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Assoc. ACM Digital Library (2021)

    Google Scholar 

  60. Gimpel, H.: Quantifying the quantified self:a study on the motviations of patients to track their own health. In: Thirty Fourth International Conference on Information Systems. ICIS, Milan (2013)

    Google Scholar 

  61. Stasko, J., Miller, T., Pousman, Z., Plaue, C., Ullah, O.: Personalized peripheral information awareness through information art. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004: Ubiquitous Computing. vol. 3205, pp. 18–35. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30119-6_2

    Chapter  Google Scholar 

  62. Dufrenne, M.: Experience, the Phenomenology of Aesthetic. Northwestern University Press, Evanston (1989)

    Google Scholar 

  63. Kujala, S.: User involvement: a review of the benefits and challenges. Behav. Inf. Technol. 22(1), 1–16 (2003)

    Article  Google Scholar 

  64. Bekker, M., Long, J.: User involvement in the design of human—computer interactions: some similarities and differences between design approaches. In: McDonald, S., Waern, Y., Cockton, G. (eds) People and Computers XIV — Usability or Else!. Springer, London (2000). https://doi.org/10.1007/978-1-4471-0515-2_10

  65. Norman, D.A.: Natural user interfaces are not natural. Interactions 17(3), 6–10 (2010)

    Article  Google Scholar 

  66. Liu, W.: Natural user interface-next mainstream product user interface. In: 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design, vol. 1, pp. 203–205. IEEE (2010)

    Google Scholar 

  67. Sanders, E., Stappers, P.J.: Co-creation and the new landscapes of design. CoDesign 4(1), 5–18 (2008). https://doi.org/10.1080/15710880701875068

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christel De Maeyer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

De Maeyer, C., Lee, M. (2022). I Feel You. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds) Human-Centered Software Engineering. HCSE 2022. Lecture Notes in Computer Science, vol 13482. Springer, Cham. https://doi.org/10.1007/978-3-031-14785-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-14785-2_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14784-5

  • Online ISBN: 978-3-031-14785-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics