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
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