Designing data-driven interventions for mental health care

Eivind Flobak; Frode Guribye; Daniel Jensen; Astri Lundervold

11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Designing data-driven interventions for mental health care

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1145/3154862.3154917,
    author={Eivind Flobak and Frode Guribye and Daniel Jensen and Astri Lundervold},
    title={Designing data-driven interventions for mental health care},
    proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={ACM},
    proceedings_a={PERVASIVEHEALTH},
    year={2018},
    month={1},
    keywords={affective interaction patient-generated data assistive technology mental health care adhd pervasive affective sensing},
    doi={10.1145/3154862.3154917}
}

Eivind Flobak
Frode Guribye
Daniel Jensen
Astri Lundervold
Year: 2018
Designing data-driven interventions for mental health care
PERVASIVEHEALTH
ACM
DOI: 10.1145/3154862.3154917

Eivind Flobak¹^,*, Frode Guribye¹, Daniel Jensen¹, Astri Lundervold¹

1: University of Bergen

*Contact email: eivind.flobak@student.uib.no

Abstract

This paper introduces the design of an assistive technology in a training program for cognitive and emotional control for adults with ADHD. We further address how patient-generated data (PGD) can support the interaction between patients and clinicians in this training process, and potentially increase the effect of the treatment.

Keywords: affective interaction patient-generated data assistive technology mental health care adhd pervasive affective sensing

Published: 2018-01-16
Publisher: ACM

: http://dx.doi.org/10.1145/3154862.3154917