title: Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness.
abstract: Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we presentSituMan, a solution that provides situation awareness toMoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments.SituManhas a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out").MoodBusterrequests mental status self-assessments from patients at adequate moments using situation awareness. In addition,SituMansaves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed thatSituManwas well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.
authors.affiliation: Graduate Program in Electrical Engineering, Federal University of Maranhão, 65080-805 São Luís, Brazil. ariel@lsdi.ufma.br.
authors.forename: Ariel
authors.initials: A
authors.lastname: Soares Teles
authors.affiliation: Centre for Information Systems and Computer Graphics, Institute for Systems Engineering and Computers, Technology and Science, 4200-465 Porto, Portugal. artur.rocha@inesctec.pt.
authors.forename: Artur
authors.initials: A
authors.lastname: Rocha
authors.affiliation: Graduate Program in Electrical Engineering, Federal University of Maranhão, 65080-805 São Luís, Brazil. fssilva@lsdi.ufma.br.
authors.forename: Francisco
authors.initials: F
authors.lastname: José da Silva E Silva
authors.affiliation: Centre for Information Systems and Computer Graphics, Institute for Systems Engineering and Computers, Technology and Science, 4200-465 Porto, Portugal. jlopes@fe.up.pt.|Department of Informatics Engineering, Faculdade de Engenharia da Universidade do Porto, 4200-465 Porto, Portugal. jlopes@fe.up.pt.
authors.forename: João
authors.initials: J
authors.lastname: Correia Lopes
authors.affiliation: Department of Electronic and Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland. donal.osullivan@ul.ie.
authors.forename: Donal
authors.initials: D
authors.lastname: O'Sullivan
authors.affiliation: Department of Electronic and Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland. pepijn.vandeven@ul.ie.
authors.forename: Pepijn
authors.initials: P
authors.lastname: Van de Ven
authors.affiliation: Department of Informatics, Pontifícia Universidade Católica do Rio de Janeiro, 22453-900 Rio de Janeiro, Brazil. endler@inf.puc-rio.br.
authors.forename: Markus
authors.initials: M
authors.lastname: Endler
mesh_terms: D001364:Awareness; D006801:Humans; D001523:Mental Disorders; D008603:Mental Health; D063731:Mobile Applications
keywords: ecological momentary assessment; fuzzy logic; mental disorder treatment; mobile mental health; situation awareness