Anticipating Ethical Issues When Designing Services that Employ Personal Data

Varisco, Laura; Pavlović, Milica; Pillan, Margherita

doi:10.1007/978-3-030-23570-3_10

Cited by 1 publication

(2 citation statements)

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“…The main research developed an approach (knowledge, method and tools) for the anticipatory investigation of the potential impacts of the management of personal data in product/service design [19] [20]. In this paper we focus on the use of a light (reduced and adapted) approach, to be adopted in education and whenever the design resources do not allow the use of our main…”

Section: Wearable Technologies and Sensors Embedded Inmentioning

confidence: 99%

“…In previous work we described some applications of the method [19] and its iteration [20] that led to the creation of an In-depth Data Impact Tool meant to be used by expert designers in complex and long design processes. However, the validation of the In-depth Data Impact Tool highlighted limits related to its complexity and time needed for its use.…”

Section: The Creation Of the Light Data Impact Toolmentioning

confidence: 99%

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Defining a Data Impact Tool for Design Courses

Varisco¹,

Pillan²,

Marti³

2019

DeSForM19 Proceedings

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Wearable product/service solutions are increasingly spreading in everyday life aiming at supporting and tracking activities, also increasing self-awareness about behaviors and body parameters. The amount and variety of personal data generated and collected by these digital services is unprecedented in human history, and impacts on individuals, societies and organizations can now be only partly predicted. The design of data management in these solutions has so become a critical task for both designers and service providers. This paper presents the results of the application of a design tool, as part of an Impact Anticipation Method, created to foresee problems and opportunities so to improve design choices in quick design processes and design courses. The tool aims at stimulating the discussion on impacts related to the use of personal information. The results point out the usefulness of the method's tool in raising awareness in designers, elicit critical thinking fostering the discussion on the topic, and provide insights for improvements. It demonstrates the need of more agile ways to address the topic in the design process. Students faced their lack of knowledge about how and when personal information is implied in their solutions, and on potential impacts that such information could have.

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Section: Wearable Technologies and Sensors Embedded Inmentioning

confidence: 99%

Section: The Creation Of the Light Data Impact Toolmentioning

confidence: 99%