The Design Value of the Relationship Between Personal and Urban Data
Everyday life is characterized by the interaction with an ever-increasing flow of digital data; the exponential diffusion of even more miniaturized and inexpensive sensors and the ease of connection to the Internet produce a vast amount of data, originating what is called “datization” of reality. Data belong to different typologies, but a great deal concerns the personal sphere where, in a more and more broad context of Quantified Self, people voluntarily records and tracks such data, archiving events and daily facts in a meticulous way.
However, when we talk about personal data, we have to consider the perception and the interaction between subject and three different but interconnected components: device, interface and data. In this context, design becomes a fundamental discipline, first of all trying to make the user active in the management of own data and helping him to understand them through information design tools. Secondly, data and information themselves become tools and materials for design, being a fundamental component of the project and not just its objective.
New design perspectives are opened up; starting from the tools of information design, it is possible to make immediately visible and understandable behavioural patterns of individuals, but also of a community, thinking on different scales that can range from small buildings to large cities. In this way, data can become a tool to preserve and improve individual well-being and of the society, acting with a bottom-up approach that starts with true citizen and inhabitant needs.
KeywordsData visualization Quantified Self Sustainability
- 1.Saggio: Quantifico Dunque Sono: Il Personal Tracking E’ La Religione Della Valley. http://www.mattscape.com/essay-quantifico-dunque-sono-il-personal-tracking-e-la-religione-della-valley.html. Accessed 21 May 2018
- 2.Lupton D (2015) The Quantified Self. Polity Press, CambridgeGoogle Scholar
- 3.Quantified Self. http://quantifiedself.com/. Accessed 21 May 2018
- 4.Lévi P (1996) L’intelligenza collettiva. Per un’antropologia del cyberspazio. Feltrinelli, MilanoGoogle Scholar
- 5.Card SK, Mackinlay JD, Shneiderman, B. (eds) (1999) Readings in information visualization: using vision to thinkGoogle Scholar
- 6.Judelman G (2004) Aesthetics and inspiration for visualization design: bridging the gap between art and science. In: IEEE computer society, proceedings of the information visualisation, eighth international conference (IV 2004), Washington, DC, USA, pp 245–250Google Scholar
- 7.Viégas FB, Wattenberg M (2007) Artistic data visualization: beyond visual analytics. In: International conference on online communities and social computing, Berlin, pp 182–191Google Scholar
- 8.Feltron. feltron.com. Accessed 21 May 2018
- 9.Data Portraits at TED 2017. https://www.accurat.it/works/ted/. Accessed 21 May 2018
- 10.Lupi G, Posavec S (2016) Dear data: the story of a friendship in fifty-two postcards. Penguin, UKGoogle Scholar
- 11.Red Bull Visualization. https://www.cleverfranke.com/work/redbull-visualization. Accessed 21 May 2018
- 12.Red Bull at Night x ByBORRE - The Sixth Sense - Case movie. https://vimeo.com/221893073. Accessed 21 May 2018
- 13.Cena F, Matassa A (2015) Adopting a user modeling approach to quantify the city. In: Adjunct proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing and proceedings of the 2015 ACM international symposium on wearable computers, Osaka, Japan, pp 1027–1032Google Scholar
- 14.Cityways. http://senseable.mit.edu/cityways/. Accessed 21 May 2018
- 15.Locals and Tourists. https://www.flickr.com/photos/walkingsf/sets/72157624209158632/with/4671589629/. Accessed 21 May 2018
- 16.On Broadway. http://www.on-broadway.nyc/. Accessed 21 May 2018
- 18.Bistagnino L (2011) Design sistemico: progettare la sostenibilità produttiva e ambientale. Slow Food, BraGoogle Scholar
- 19.CityChrone. http://www.citychrone.org. Accessed 27 May 2018