Designing with Data. Anticipating the Impact of Personal Data Usage on Individuals and Society

  • Laura VariscoEmail author
  • Sara Colombo
  • Federico Casalegno
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)


In a world where digital technologies are becoming human symbionts, in the form of personal companions, wearable devices, and connected environments, digital services can rely more and more on the massive collection of personal data to provide extremely tailored experiences. [1] It becomes necessary to explore the consequences of data harvesting and use during the design of new systems and services, especially before such solutions are fully deployed. In this paper, we propose the Impact Anticipation Method, which collects knowledge on potential issues related to the use of personal data in the design of new physical-digital solutions and we exemplify its application through a use case. The goal is to provide designers of data-rich digital solutions with a tool that analyzes the issues and the perturbations their designs could have on people and society, ultimately supporting the formulation of guidelines to refine the designed solutions.


Personal information Impact Anticipation Method Ethical impacts 



The development of the IAM is part of the doctoral research of the author Laura Varisco that has been funded by TIM S.p.A., Services Innovation Department, Joint Open Lab Digital Life, Milan, Italy. The Worker Profile + concept was developed by the MIT Design Lab in collaboration with the Eni ICT and Health, Safety, Environment and Quality Departments within the MIT Energy Initiative.


  1. 1.
    Arslan, P., Casalegno, F., Giusti, L., Ileri, O., Kurt, O.F., Ergüt, S.: Big data as a source for designing services. Web, June 2017Google Scholar
  2. 2.
    Lanier, J.: Who Owns the Future?. Simon and Schuster, New York (2014)Google Scholar
  3. 3.
    Mitchell, W.J.: Me++: The Cyborg Self and the Networked City. Mit Press, Cambridge (2004)Google Scholar
  4. 4.
    Greengard, S.: The Internet of Things. MIT Press, Cambridge (2015)Google Scholar
  5. 5.
    Friedman, B., Bainbridge, W.S.: Value sensitive design (2004Google Scholar
  6. 6.
    Von Schomberg, R.: A vision of responsible innovation. In: Owen, R., Heintz, M., Bessant, J. (eds.) Responsible Innovation, pp. 51–74. Wiley (2013, forthcoming)Google Scholar
  7. 7.
    Directive 95/46/EC (General Data Protection Regulation) Official Journal of the European Union, vol. L119, pp. 1–88, 4 May 2016Google Scholar
  8. 8.
    Lupton, D.: The digitally engaged patient: Self-monitoring and self-care in the digital health era. Soc. Theory Health 11(3), 256–270 (2013)CrossRefGoogle Scholar
  9. 9.
    Li, I., Dey, A.K., Forlizzi, J.: Understanding my data, myself: supporting self-reflection with ubicomp technologies. In: Proceedings of the 13th International Conference on Ubiquitous Computing, pp. 405–414. ACM, September 2011Google Scholar
  10. 10.
    Young, N.: The virtual Self: How Our Digital Lives are Altering the World Around Us. McClelland & Stewart, Toronto (2012)Google Scholar
  11. 11.
    Varisco, L., Pillan, M., Bertolo, M.: Personal digital trails: toward a convenient design of products and services employing digital data. In: 4D Designing Development Developing Design, pp. 188–197 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Laura Varisco
    • 1
    Email author
  • Sara Colombo
    • 2
  • Federico Casalegno
    • 2
  1. 1.IEX Design Research LabPolitecnico di MilanoMilanItaly
  2. 2.MIT Design LabMassachusetts Institute of TechnologyCambridgeUSA

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