The emerging complex IoT ecosystems, embodied through Artificially Intelligent (AI) Agents on the front-end interaction with the user, rise many new considerations to be taken into account during the design process, among which the use of sensitive personal data. This paper introduces a case study, a concluded project of a system supported by AI algorithms for delivering tailored services to the drivers, including insurance offerings and supporting drivers in practicing safer driving style. We report on a segment of user studies done within this project that relates to the use of personal data, and we discuss the notion of emerged user values within. Accordingly, we observe and propose inclusion of social consensus considerations within the design process and evaluation of the same.
"Social Consensus: Contribution to Design Methods for AI Agents That Employ Personal Data
Botto F.;
2019-01-01
Abstract
The emerging complex IoT ecosystems, embodied through Artificially Intelligent (AI) Agents on the front-end interaction with the user, rise many new considerations to be taken into account during the design process, among which the use of sensitive personal data. This paper introduces a case study, a concluded project of a system supported by AI algorithms for delivering tailored services to the drivers, including insurance offerings and supporting drivers in practicing safer driving style. We report on a segment of user studies done within this project that relates to the use of personal data, and we discuss the notion of emerged user values within. Accordingly, we observe and propose inclusion of social consensus considerations within the design process and evaluation of the same.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
