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Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges

  • Patient Facing Systems
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Abstract

Embodied conversational agents (ECAs) are advanced computational interactive interfaces designed with the aim to engage users in the continuous and long-term use of a background application. The advantages and benefits of these agents have been exploited in several e-health systems. One of the medical domains where ECAs are recently applied is to support the detection of symptoms, prevention and treatment of mental health disorders. As ECAs based applications are increasingly used in clinical psychology, and due that one fatal consequence of mental health problems is the commitment of suicide, it is necessary to analyse how current ECAs in this clinical domain support the early detection and prevention of risk situations associated with suicidality. The present work provides and overview of the main features implemented in the ECAs to detect and prevent suicidal behaviours through two scenarios: ECAs acting as virtual counsellors to offer immediate help to individuals in risk; and ECAs acting as virtual patients for learning/training in the identification of suicide behaviours. A literature review was performed to identify relevant studies in this domain during the last decade, describing the main characteristics of the implemented ECAs and how they have been evaluated. A total of six studies were included in the review fulfilling the defined search criteria. Most of the experimental studies indicate promising results, though these types of ECAs are not yet commonly used in routine practice. The identification of some open challenges for the further development of ECAs within this domain is also discussed.

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Acknowledgements

This work has been funded by the “Fondo Sectorial de Investigación en Salud y Seguridad Social – FOSISS/CONACyT” under the research project 2016-1-273163 “Desarrollo de nuevas tecnologías y su integración al sector salud como ayuda a una estrategia integral de prevención del suicidio”. The author also acknowledges the “Cátedras CONACyT” program funded by the Mexican National Research Council (CONACyT).

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  1. CONACYT – Centro de Investigación Científica y de Educación Superior de Ensenada, Unidad de Transferencia Tecnológica, Tepic, Mexico

    Juan Martínez-Miranda

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Correspondence to Juan Martínez-Miranda.

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This study was funded by the Mexican National Research Council (CONACyT grant number 2016–1-273,163).

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Martínez-Miranda, J. Embodied Conversational Agents for the Detection and Prevention of Suicidal Behaviour: Current Applications and Open Challenges. J Med Syst 41, 135 (2017). https://doi.org/10.1007/s10916-017-0784-6

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