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LifeReview: A model for monitoring people with anxiety disorder

Published: 20 May 2019 Publication History

Abstract

This article presents LifeReview, a model that aims to facilitate the therapeutic process and the interaction between patients and mental health professionals, helping them in the treatment of anxiety disorder. The model uses as a basis the records of dysfunctional thoughts, a tool widely used by cognitive-behavioral therapy, incorporating it into an application capable of collecting media data and the patient's location. Allied to this, a management panel allows the therapist to visualize and interact with the sent records, besides personalizing the patient's experience through tips and techniques for anxiety control. A prototype was developed following the model specifications and evaluated with specialists in the area through scenarios, denoting a potential treatment aid.

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Published In

cover image ACM Other conferences
SBSI '19: Proceedings of the XV Brazilian Symposium on Information Systems
May 2019
623 pages
ISBN:9781450372374
DOI:10.1145/3330204
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • SBC: Brazilian Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 May 2019

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Author Tags

  1. Anxiety Disorder
  2. Cognitive Behavioral Therapy
  3. Mental Health
  4. Ubiquitous Computing

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Conselho Nacional de Desenvolvimento Científico e Tecnológico
  • Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

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SBSI'19

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Overall Acceptance Rate 181 of 557 submissions, 32%

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