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A Novel Approach to Improve the Planning of Adaptive and Interactive Sessions for the treatment of Major Depression

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A Novel Approach to Improve the Planning of Adaptive and Interactive Sessions for the treatment of Major Depression

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dc.contributor.author Bresó Guardado, Adrián es_ES
dc.contributor.author Martínez Miranda, Juan Crisóforo es_ES
dc.contributor.author Fuster García, Elíes es_ES
dc.contributor.author García Gómez, Juan Miguel es_ES
dc.date.accessioned 2017-06-20T10:29:47Z
dc.date.available 2017-06-20T10:29:47Z
dc.date.issued 2016-03
dc.identifier.issn 1071-5819
dc.identifier.uri http://hdl.handle.net/10251/83255
dc.description.abstract [EN] Human Computer Interaction (HCI) is a research field which aims to improve the relationship between users and interactive computer systems. A main objective of this research area is to make the user experience more pleasant and efficient, minimizing the barrier between the users' cognition of what they want to accomplish and the computer's understanding of the user's tasks, by means of userfriendly, useful and usable designs. A bad HCI design is one of the main reasons behind user rejection of computer-based applications, which in turn produces loss of productivity and economy in industrial environments. In the eHealth domain, user rejection of computer-based systems is a major barrier to exploiting the maximum benefit from those applications developed to support the treatment of diseases, and in the worst cases a poor design in these systems may cause deterioration in the clinical condition of the patient. Thus, a high level of personalisation of the system according to users' needs is extremely important, making it easy to use and contributing to the system's efficacy, which in turn facilitates the empowerment of the target users. Ideally, the content offered through the interactive sessions in these applications should be continuously assessed and adapted to the changing condition of the patient. A good HCI design and development can improve the acceptance of these applications and contribute to promoting better adherence levels to the treatment, preventing the patient from further relapses. In this work, we present a mechanism to provide personalised and adaptive daily interactive sessions focused on the treatment of patients with Major Depression. These sessions are able to automatically adapt the content and length of the sessions to obtain personalised and varied sessions in order to encourage the continuous and long-term use of the system. The tailored adaptation of session content is supported by decision-making processes based on: (i) clinical requirements; (ii) the patient's historical data; and (iii) current responses from the patient. We have evaluated our system through two different methodologies: the first one performing a set of simulations producing different sessions from changing input conditions, in order to assess different levels of adaptability and variability of the session content offered by the system. The second evaluation process involved a set of patients who used the system for 14 to 28 days and answered a questionnaire to provide feedback about the perceived level of adaptability and variability produced by the system. The obtained results in both evaluations indicated good levels of adaptability and variability in the content of the sessions according to the input conditions. es_ES
dc.description.sponsorship E. Fuster Garcia acknowledges the financial support from the "Torres Quevedo" program (Spanish Ministry of Economy and Competitiveness) co-funded by the European Social Fund (PTQ-12-05693), and the financial support from the Universitat Politecnica de Valencia under the Grant "Ayudas Para la Contratacion de Doctores para el Acceso al Sistema Espanol de Ciencia, Tecnologia e Innovacion" (PAID-10-14). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof International Journal of Human-Computer Studies es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Human Computer Interaction es_ES
dc.subject Major Depression es_ES
dc.subject Adaptive Interfaces es_ES
dc.subject Clinical Decision Support Systems es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title A Novel Approach to Improve the Planning of Adaptive and Interactive Sessions for the treatment of Major Depression es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ijhcs.2015.11.003
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PTQ-12-05693/ES/PTQ-12-05693/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/248765/EU/A Computational Distributed System to Support the Treatment of Patients with Major Depression/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-10-14/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació es_ES
dc.description.bibliographicCitation Bresó Guardado, A.; Martínez Miranda, JC.; Fuster García, E.; García Gómez, JM. (2016). A Novel Approach to Improve the Planning of Adaptive and Interactive Sessions for the treatment of Major Depression. International Journal of Human-Computer Studies. 87:80-91. https://doi.org/10.1016/j.ijhcs.2015.11.003 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.ijhcs.2015.11.003 es_ES
dc.description.upvformatpinicio 80 es_ES
dc.description.upvformatpfin 91 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 87 es_ES
dc.relation.senia 297088 es_ES
dc.identifier.eissn 1095-9300
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Universitat Politècnica de València


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