Skip to Main content Skip to Navigation
Journal articles

Self Determination-Based Design To Achieve Acceptance of Assisted Living Technologies For Older Adults

Lucile Dupuy 1 Charles Consel 1, 2 Hélène Sauzéon 3, 1
1 Phoenix - Programming Language Technology For Communication Services
EA4136 - Handicap et système nerveux :Action, communication, interaction: rétablissement de la fonction et de la participation [Bordeaux], Inria Bordeaux - Sud-Ouest, LaBRI - Laboratoire Bordelais de Recherche en Informatique
Abstract : Providing technological support to assist older adults in their daily activities is a promising approach to aging in place. However, acceptance is critical when technologies are embedded in the user's life. Recently, Lee et al. established a connection between acceptance and motivation. They approached motivation via the Self-Determination Theory (SDT): the capacity to make choices and to take decisions. This paper leverages SDT to promote a new design style for gerontechnologies that consists of principles and requirements. We applied our approach to develop an assisted living platform, which was used to conduct a six-month field study with 34 older adults. We show that self-determination is a determining factor of technology acceptance. Furthermore, our platform improved the self-determination of equipped participants, compared to the control group, suggesting that our approach is effective. As such, SDT opens up new opportunities for improving the design process of geron-technologies.
Complete list of metadata

Cited literature [63 references]  Display  Hide  Download
Contributor : Lucile Dupuy Connect in order to contact the contributor
Submitted on : Wednesday, August 3, 2016 - 4:08:53 PM
Last modification on : Tuesday, January 14, 2020 - 1:18:02 PM
Long-term archiving on: : Tuesday, November 8, 2016 - 9:03:49 PM


Files produced by the author(s)





Lucile Dupuy, Charles Consel, Hélène Sauzéon. Self Determination-Based Design To Achieve Acceptance of Assisted Living Technologies For Older Adults. Computers in Human Behavior, Elsevier, 2016, 65, ⟨10.1016/j.chb.2016.07.042⟩. ⟨hal-01351332⟩



Record views


Files downloads