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.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Human Systems Integration 2019 - Proceedings of the 2nd International Conference on Intelligent Human Systems Integration IHSI 2019 |
| Subtitle of host publication | Integrating People and Intelligent Systems, 2019 |
| Editors | Tareq Ahram, Waldemar Karwowski |
| Publisher | Springer |
| Pages | 870-876 |
| Number of pages | 7 |
| ISBN (Print) | 9783030110505 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | 2nd International Conference on Intelligent Human Systems Integration, IHSI 2019 - San Diego, United States Duration: 7 Feb 2019 → 10 Feb 2019 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 903 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | 2nd International Conference on Intelligent Human Systems Integration, IHSI 2019 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 7/02/19 → 10/02/19 |
Bibliographical note
Funding Information: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.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
Funding
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.
Keywords
- Ethical impacts
- Impact Anticipation Method
- Personal information