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

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 Cafe (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.

[1]  Hsien-Tsung Chang,et al.  Technology Acceptance for an Intelligent Comprehensive Interactive Care (ICIC) System for Care of the Elderly: A Survey-Questionnaire Study , 2012, PloS one.

[2]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[3]  Denise Gramß,et al.  Instructional Videos for Supporting Older Adults Who Use Interactive Systems , 2009 .

[4]  Simon C. Potter,et al.  A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans , 2012, PLoS ONE.

[5]  J. Coughlin,et al.  PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers , 2015 .

[6]  Arthur D. Fisk,et al.  Technology and aging , 2005 .

[7]  N. Charness,et al.  Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE) , 2006 .

[8]  J. Spaapen,et al.  Introducing ‘productive interactions’ in social impact assessment , 2011 .

[9]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[10]  Kaija Saranto,et al.  Impact of computer training courses on reduction of loneliness of older people in Finland and Slovenia , 2012, Comput. Hum. Behav..

[11]  Amy J. Chaffin,et al.  COGNITIVE LEARNING APPLIED TO OLDER ADULT LEARNERS AND TECHNOLOGY , 2005 .

[12]  Roland Ortt,et al.  Innovation management: different approaches to cope with the same trends , 2006, Int. J. Technol. Manag..

[13]  Peter Caputi,et al.  Comparison of older and younger adults' attitudes towards and abilities with computers: Implications for training and learning , 2010, Br. J. Educ. Technol..

[14]  D. Abrams,et al.  Threat or boost? Social comparison affects older people's performance differently depending on task domain. , 2013, The journals of gerontology. Series B, Psychological sciences and social sciences.

[15]  Jeffrey Soar,et al.  The potential of information and communication technologies to support ageing and independent living , 2010, Ann. des Télécommunications.

[16]  Jan Alexandersson,et al.  Board Games and Regulars' Tables - Extending User Centred Design in the Mobia Project , 2016, HCI.

[17]  Jan Alexandersson,et al.  Oil in the Machine: Technical Support for a Human-Centred Service System for Public Transport , 2015 .