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Therapy: location-aware assessment and tasks

Published: 08 March 2012 Publication History

Abstract

In this paper, we present a system that allows therapists to assess and engage patients' in activities triggered by specific stressing contexts. The system is composed by: 1) a web application that the therapist uses to specify the activities and its triggering conditions; and 2) a mobile app that measures physiologic characteristics and challenges the patient to perform the activities according to those conditions. This toolset is part of an extended cognitive behaviour therapy framework. The preliminary evaluation results are encouraging and indicate that the system can be of use and usable for direct application in therapy procedures.

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Cited By

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  • (2021)Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping ReviewJMIR Mental Health10.2196/246688:6(e24668)Online publication date: 10-Jun-2021
  • (2017)NeuroPlace: Categorizing urban places according to mental statesPLOS ONE10.1371/journal.pone.018389012:9(e0183890)Online publication date: 12-Sep-2017
  • (2013)Flow Specification Patterns of End-User Programmers: Lessons Learnt from a Health Mobile Application Authoring Environment DesignHuman-Computer Interaction – INTERACT 201310.1007/978-3-642-40480-1_52(748-755)Online publication date: 2013

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    Published In

    cover image ACM Other conferences
    AH '12: Proceedings of the 3rd Augmented Human International Conference
    March 2012
    162 pages
    ISBN:9781450310772
    DOI:10.1145/2160125
    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]

    Sponsors

    • Megeve: Megève Tourisme
    • University of Genova: University of Genova

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 March 2012

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    Author Tags

    1. location based services
    2. physiological recording
    3. therapy

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    • Research-article

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    AH '12
    Sponsor:
    • Megeve
    • University of Genova
    AH '12: Augmented Human International Conference
    March 8 - 9, 2012
    Megève, France

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    Overall Acceptance Rate 121 of 306 submissions, 40%

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    Cited By

    View all
    • (2021)Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping ReviewJMIR Mental Health10.2196/246688:6(e24668)Online publication date: 10-Jun-2021
    • (2017)NeuroPlace: Categorizing urban places according to mental statesPLOS ONE10.1371/journal.pone.018389012:9(e0183890)Online publication date: 12-Sep-2017
    • (2013)Flow Specification Patterns of End-User Programmers: Lessons Learnt from a Health Mobile Application Authoring Environment DesignHuman-Computer Interaction – INTERACT 201310.1007/978-3-642-40480-1_52(748-755)Online publication date: 2013

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