Title:	THE REVERSED MOSCOW METHOD. A GENERAL FRAMEWORK FOR DEVELOPING AGE-FRIENDLY TECHNOLOGIES
Author(s):	Luiza Spiru, Mircea Marzan, Cosmina Paul, Magdalena Velciu and Adrian Garleanu
ISBN:	978-989-8533-89-0
Editors:	Mário Macedo
Year:	2019
Edition:	Single
Keywords:	Age-Friendly Technology, Independent Seniors, “Reversed Moscow Method’, Gerontographics
Type:	Full Paper
First Page:	75
Last Page:	81
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	In the last decade, the number of new technologies which target independent and active seniors at home tremendously increased, though many failed to address seniors’ expectations and needs. The purpose of this study was to construct and test a new framework for developing age-friendly technologies for independent and active seniors at home. The proposed framework is the ‘Reversed MoSCoW Method’, where MoSCoW stands for must, should, could and have requirements to accomplish business needs. The tool is a prioritization for reaching a common ground among the technology developers and designers on not to do requirements, when conceptualizing new technologies for independent and active seniors at home. The proposed model was grounded on the research findings from Senior-TV. Hence, a questionnaire survey was conducted with a sample of 148 seniors aged 65 and over in Cyprus, Romania and Slovenia, between February and April 2019, and the results are transferred and tested in a current ongoing European AAL project, IOANNA. The results showed that understanding the specificities of the relationship between technology and the independent and active seniors is crucial for understanding their habits and dispositions towards adopting new technologies. The findings show the most frequent mistakes when developing new technologies for active seniors: 1) age stigmatization, 2) the tendency to improve already domesticated products or services, such as TV watching or communication by phone, as seniors do not engage on Internet at the expense of TV watching or on social media instead of communication by phone, 3) asking for a continue or frequent logging in, 4) health oriented services, 5) services’ complexity and others. These were found as better predictors of failing technologies than the conventionally assumed attitudinal factors, such as ease of use, disinterest or lacking technological abilities.
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