{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:28:40Z","timestamp":1760239720394,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T00:00:00Z","timestamp":1608854400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["88887.200532\/2018-00","001"],"award-info":[{"award-number":["88887.200532\/2018-00","001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003758","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa e ao Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico do Maranh\u00e3o","doi-asserted-by":"publisher","award":["94198\/2020"],"award-info":[{"award-number":["94198\/2020"]}],"id":[{"id":"10.13039\/501100003758","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Traditionally, mental health specialists monitor their patients\u2019 social behavior by applying subjective self-report questionnaires in face-to-face meetings. Usually, the application of the self-report questionnaire is limited by cognitive biases (e.g., memory bias and social desirability). As an alternative, we present a solution to detect context-aware sociability patterns and behavioral changes based on social situations inferred from ubiquitous device data. This solution does not focus on the diagnosis of mental states, but works on identifying situations of interest to specialized professionals. The proposed solution consists of an algorithm based on frequent pattern mining and complex event processing to detect periods of the day in which the individual usually socializes. Social routine recognition is performed under different context conditions to differentiate abnormal social behaviors from the variation of usual social habits. The proposed solution also can detect abnormal behavior and routine changes. This solution uses fuzzy logic to model the knowledge of the mental health specialist necessary to identify the occurrence of behavioral change. Evaluation results show that the prediction performance of the identified context-aware sociability patterns has strong positive relation (Pearson\u2019s correlation coefficient &gt;70%) with individuals\u2019 social routine. Finally, the evaluation conducted recognized that the proposed solution leading to the identification of abnormal social behaviors and social routine changes consistently.<\/jats:p>","DOI":"10.3390\/s21010086","type":"journal-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T09:30:19Z","timestamp":1608888619000},"page":"86","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1955-7322","authenticated-orcid":false,"given":"Ivan Rodrigues","family":"de Moura","sequence":"first","affiliation":[{"name":"Laboratory of Intelligent Distributed Systems (LSDi), Federal University of Maranh\u00e3o, 65080-805 S\u00e3o Lu\u00eds, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0840-3870","authenticated-orcid":false,"given":"Ariel Soares","family":"Teles","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Distributed Systems (LSDi), Federal University of Maranh\u00e3o, 65080-805 S\u00e3o Lu\u00eds, Brazil"},{"name":"Federal Institute of Maranh\u00e3o, 65570-000 Araioses, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8007-9817","authenticated-orcid":false,"given":"Markus","family":"Endler","sequence":"additional","affiliation":[{"name":"Department of Informatics, Pontifical Catholic University of Rio de Janeiro, 22453-900 Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7996-7334","authenticated-orcid":false,"given":"Luciano Reis","family":"Coutinho","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Distributed Systems (LSDi), Federal University of Maranh\u00e3o, 65080-805 S\u00e3o Lu\u00eds, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8339-3679","authenticated-orcid":false,"given":"Francisco Jos\u00e9","family":"da Silva e Silva","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Distributed Systems (LSDi), Federal University of Maranh\u00e3o, 65080-805 S\u00e3o Lu\u00eds, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,25]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2013). 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