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Voice-based conversational agents for sensing and support: Examples from academia and industry (Chapter 10)

ISBN
978-0-323-90045-4
Type
book section
Date Issued
2023
Author(s)
Bérubé, Caterina
;
Fleisch, Elgar  
Editor(s)
Jacobson, N.C.
Kowatsch, Tobias  
Marsch, L.A.
DOI
10.1016/B978-0-323-90045-4.00017-4
Abstract (De)
While mental and substance use disorders are worryingly prevalent worldwide, voice-based conversational agents (VCAs) are penetrating our homes and are increasingly used for health-related purposes. As voice interaction is less effortful and more accessible than visual interfaces, VCAs may constitute a scalable solution for the delivery of health interventions. In particular, VCAs may respond to a requenst for support, as well as proactively providing it to the user. Also, voice interaction may be used to timely sense critical health states by gathering questionnaire data, as well as passively collecting acoustic data streams associated with health-related variables. In this chapter, we review what is currently available for individuals with mental and substance use disorders through the lens of a sensing-and-support paradigm. In particular, we present examples of VCAs and voice technology from academia and industry, and identify current capabilities and potentials for the management of mental and substance use disorders. Furthermore, we seek to illustrate the implementation gaps in comparison to the sensing-and-support paradigm and discuss the possible reasons for such gaps (i.e., implementation, cost, data management, and privacy concerns).
Language
English
HSG Classification
contribution to scientific community
Book title
Digital Therapeutics for Mental Health and Addiction
Publisher
Elsevier Inc.
Volume
1st Ed.
Start page
113
End page
134
Pages
22
Official URL
https://doi.org/10.1016/C2020-0-02801-X
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/107867
Subject(s)

other research area

health sciences

Division(s)

ITEM - Institute of T...

Eprints ID
269544
File(s)
Thumbnail Image

open.access

Name

Voice-based conversational_Chapter10_3-s2.0-B9780323900454000174-main.pdf

Size

1.55 MB

Format

Adobe PDF

Checksum (MD5)

6ba6159a4bfcbc1f96b0f6737ab55be5

Support
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