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Enriching mental health mobile assessment and intervention with situation awareness

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dc.contributor.author Teles, Ariel Soares
dc.contributor.author Rocha, Artur
dc.contributor.author da Silva e Silva, Francisco
dc.contributor.author Lopes, João Correia
dc.contributor.author O'Sullivan, Donal
dc.contributor.author van de Ven, Pepijn
dc.contributor.author Endler, Marcus
dc.date.accessioned 2017-05-12T10:13:27Z
dc.date.available 2017-05-12T10:13:27Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10344/5796
dc.description peer-reviewed en_US
dc.description.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 present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has 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"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves 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 that SituMan was 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. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Sensors;17, 127
dc.subject mobile mental health en_US
dc.subject situation awareness en_US
dc.subject ecological momentary assessment en_US
dc.subject mental disorder treatment en_US
dc.subject fuzzy logic en_US
dc.title Enriching mental health mobile assessment and intervention with situation awareness en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2017-05-12T09:21:27Z
dc.description.version PUBLISHED
dc.identifier.doi 10.3390/s17010127
dc.contributor.sponsor Brazilian National Council for Scientific and Technological Development (CNPq) en_US
dc.contributor.sponsor ERC en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 2700373
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Sensors
dc.description.status peer-reviewed


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