dc.creator | Hors Fraile, Santiago | es |
dc.creator | Malwade, Shwetambara | es |
dc.creator | Luna Perejón, Francisco | es |
dc.creator | Amaya Rodríguez, Claudio Antonio | es |
dc.creator | Civit Balcells, Antón | es |
dc.creator | Schneider, Francine | es |
dc.creator | Bamidis, Panagiotis D. | es |
dc.creator | Syed-Abdul, Shabbir | es |
dc.creator | Li, Yuchuan | es |
dc.creator | Vries, Hein de | es |
dc.date.accessioned | 2020-04-07T08:14:56Z | |
dc.date.available | 2020-04-07T08:14:56Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Hors Fraile, S., Malwade, S., Luna Perejón, F., Amaya Rodríguez, C.A., Civit Balcells, A., Schneider, F.,...,Vries, H.d. (2019). Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model. IEEE Access, 7, 176525-176540. | |
dc.identifier.issn | 2169-3536 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94951 | |
dc.description.abstract | Recommender systems are gaining traction in healthcare because they can tailor recommendations
based on users' feedback concerning their appreciation of previous health-related messages. However,
recommender systems are often not grounded in behavioral change theories, which may further increase
the effectiveness of their recommendations. This paper's objective is to describe principles for designing
and developing a health recommender system grounded in the I-Change behavioral change model that
shall be implemented through a mobile app for a smoking cessation support clinical trial. We built upon
an existing smoking cessation health recommender system that delivered motivational messages through a
mobile app. A group of experts assessed how the system may be improved to address the behavioral change
determinants of the I-Change behavioral change model. The resulting system features a hybrid recommender
algorithm for computer tailoring smoking cessation messages. A total of 331 different motivational messages
were designed using 10 health communication methods. The algorithm was designed to match 58 message
characteristics to each user pro le by following the principles of the I-Change model and maintaining the
bene ts of the recommender system algorithms. The mobile app resulted in a streamlined version that aimed
to improve the user experience, and this system's design bridges the gap between health recommender
systems and the use of behavioral change theories. This article presents a novel approach integrating
recommender system technology, health behavior technology, and computer-tailored technology. Future
researchers will be able to build upon the principles applied in this case study. | es |
dc.description.sponsorship | European Union's Horizon 2020 Research and Innovation Programme under Grant 681120 | es |
dc.format | application/pdf | es |
dc.format.extent | 16 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Access, 7, 176525-176540. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Artificial intelligence | es |
dc.subject | Behavioral sciences | es |
dc.subject | Context awareness | es |
dc.subject | Filtering algorithms | es |
dc.subject | Mobile applications | es |
dc.subject | Recommender systems | es |
dc.subject | Smoking cessation | es |
dc.title | Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | 681120 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8922703 | es |
dc.identifier.doi | 10.1109/ACCESS.2019.2957696 | es |
dc.journaltitle | IEEE Access | es |
dc.publication.volumen | 7 | es |
dc.publication.initialPage | 176525 | es |
dc.publication.endPage | 176540 | es |
dc.contributor.funder | European Union (UE) | es |