Abstract
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.
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References
Arslan, P., Casalegno, F., Giusti, L., Ileri, O., Kurt, O.F., Ergüt, S.: Big data as a source for designing services. Web, June 2017
Lanier, J.: Who Owns the Future?. Simon and Schuster, New York (2014)
Mitchell, W.J.: Me++: The Cyborg Self and the Networked City. Mit Press, Cambridge (2004)
Greengard, S.: The Internet of Things. MIT Press, Cambridge (2015)
Friedman, B., Bainbridge, W.S.: Value sensitive design (2004
Von Schomberg, R.: A vision of responsible innovation. In: Owen, R., Heintz, M., Bessant, J. (eds.) Responsible Innovation, pp. 51–74. Wiley (2013, forthcoming)
Directive 95/46/EC (General Data Protection Regulation) Official Journal of the European Union, vol. L119, pp. 1–88, 4 May 2016
Lupton, D.: The digitally engaged patient: Self-monitoring and self-care in the digital health era. Soc. Theory Health 11(3), 256–270 (2013)
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 2011
Young, N.: The virtual Self: How Our Digital Lives are Altering the World Around Us. McClelland & Stewart, Toronto (2012)
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)
Acknowledgment
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.
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Varisco, L., Colombo, S., Casalegno, F. (2019). Designing with Data. Anticipating the Impact of Personal Data Usage on Individuals and Society. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_133
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DOI: https://doi.org/10.1007/978-3-030-11051-2_133
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