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AN END-USER PERSPECTIVE ON THE CAMI AMBIENT AND ASSISTED LIVING PROJECT
Univ Politehn Bucuresti, Bucharest, Romania..
Ctr IT Pentru Stiinta & Tehnol, Bucharest, Romania..
Univ Politehn Bucuresti, Bucharest, Romania..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2870-2680
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2018 (English)In: 12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED) / [ed] Chova, LG Martinez, AL Torres, IC, IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT , 2018, p. 6776-6785Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present the outcomes and conclusions obtained by involving seniors from three countries (Denmark, Poland and Romania) in an innovative project funded under the European Ambient Assisted Living (ALL) program. CAMI stands for "Companion with Autonomously Mobile Interface" in "Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL". The CAMI solution enables flexible, scalable and individualised services that support elderly to self-manage their daily life and prolong their involvement in the society (sharing knowledge, continue working, etc). This also allows their informal caregivers (family and friends) to continue working and participating in society while caring for their loved ones. The solution is designed as an innovative architecture that allows for individualized, intelligent self-management which can be tailored to an individual's preferences and needs. A user-centred approach has ranked health monitoring, computer supervised physical exercises and voice based interaction among the top favoured CAMI functionalities. Respondents from three countries (Poland, Romania and Denmark) participated in a multinational survey and a conjoint analysis study.

Place, publisher, year, edition, pages
IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT , 2018. p. 6776-6785
Series
INTED Proceedings, ISSN 2340-1079
Keywords [en]
user-centred design, artificial intelligence, fall detection, exergames, vocal interface
National Category
Human Computer Interaction Other Health Sciences Gerontology, specialising in Medical and Health Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-41385ISI: 000448704001118ISBN: 978-84-697-9480-7 (print)OAI: oai:DiVA.org:mdh-41385DiVA, id: diva2:1362184
Conference
12th International Technology, Education and Development Conference (INTED), MAR 05-07, 2018, Valencia, SPAIN
Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-10-18

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Seceleanu, CristinaKunnappilly, Ashalatha

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