Title

Investigation Of Multimodal Mobile Applications For Improving Mental Health

Keywords

Anxiety disorders; Blended therapy; Mental health; Wearable devices

Abstract

The National Alliance on Mental Illness reports that one in four adults experience mental health issues in a given year. Stigmas surrounding mental health issues often leave those afflicted reluctance to seek treatment. Those individuals that do decide to pursue treatment are often denied because of cost and lack of health care coverage or simply do not know where to find it. Assisted technologies can bridge these gaps, providing not only information on how to manage symptoms, but viable treatment options (e.g., adaptive management plans and training, physiological sensing, and alerts for physical symptom onset). The pairing of wearable technology, smart applications, and blended learning techniques can teach patients and caregivers the skills needed for lifetime management. The present theoretical paper provides a literature review of current technology platforms that can be utilized by the mental health domain and explores viable mental health technology options for the next five years.

Publication Date

1-1-2016

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

9744

Number of Pages

333-343

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-39952-2_32

Socpus ID

84978893129 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84978893129

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