Publication

Technology Experience Café–Enabling Technology-Driven Social Innovation for an Ageing Society

Johannes Tröger, João Mariano, Sibila Marques, Joana Mendonça, Andrey Girenko, Jan Alexandersson, Bernard Stree, Michele Lamina, Maurizio Lorenzetto, Louise Pierrel Mikkelsen, Uffe Bundgård-Jørgensen

In: Human Aspects of IT for the Aged Population. Aging, Design and User Experience: Third International Conference, ITAP 2017, Proceedings. International Conference on Human Aspects of IT for the Aged Population (ITAP-2017) 3rd located at HCII 2017 July 9-14 Vancouver BC Canada I Pages 199-210 ISBN 978-3-319-58530-7 Springer International Publishing Cham 2017.

Abstract

Effective technology innovation process management in the context of active healthy ageing has the potential to improve older adults' quality of life, allowing them to maintain their independence and age in their own homes for longer. But as older adults significantly differ from the general population in technology use and its impact on their quality of life, tools are needed that (1) involve this target group into the innovation process, as well as (2) capture the diverse needs of technology for various stakeholders involved in this process. This paper presents the framework called Technology Experience Caf{\'e} (TEC), developed within the European project SIforAGE, answering exactly this need. Detailed information on the methodology and its implementation in five sites, in four different countries across Europe, focusing on participating stakeholders, general design of the TEC, and used evaluation tools, is provided. Preliminary results show, that (1) the target group's perception of the TEC as a framework was thoroughly positive and TECs had a positive impact on older adults' technology related attitudes and (2) that stakeholders' benefits affiliated with their involvement in the TECs are manifold. Implications and limitations are discussed.

Projekte

Weitere Links

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz