Poster: A smartphone-based behavioural activation application using recommender system

Tao Zhang; Geoff Jarrad; Susan A. Murphy; Niranjan Bidargaddi

doi:10.1145/3341162.3343785

Poster: A smartphone-based behavioural activation application using recommender system

Tao Zhang, Geoff Jarrad, Susan A. Murphy, Niranjan Bidargaddi

College of Medicine and Public Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The efficacy of behavioural activation in the treatment of major depressive disorders has been established in a number of studies over the last four decades. Although a number of recent studies show that behavioural activation administered via a smartphone application has the potential to be effective in the treatment of depression, these opportunities are tempered by the problem that these interventions have high dropout rates. However, recent research finds that personalisation of content can positively influence engagement. We present MindTick, a smartphone-based behavioural activation application using a recommender system to deliver personalized content to encourage users to engage in behavioural activation activities.

Original language	English
Title of host publication	UbiComp/ISWC 2019 Adjunct
Subtitle of host publication	Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	250-253
Number of pages	4
ISBN (Electronic)	9781450368698
DOIs	https://doi.org/10.1145/3341162.3343785
Publication status	Published - 9 Sept 2019
Event	2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing / 2019 ACM International Symposium on Wearable Computers - London, United Kingdom Duration: 9 Sept 2019 → 13 Sept 2019 https://dl.acm.org/action/showFmPdf?doi=10.1145%2F3341162 (Conference details)

Conference

Conference	2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing / 2019 ACM International Symposium on Wearable Computers
Abbreviated title	UbiComp/ISWC '19 Adjunct
Country/Territory	United Kingdom
City	London
Period	9/09/19 → 13/09/19
Internet address	https://dl.acm.org/action/showFmPdf?doi=10.1145%2F3341162 (Conference details)

Keywords

Behavioral Activation
LinUCB
Mhealth
Recommender System

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10.1145/3341162.3343785Licence: In Copyright

Cite this

Zhang, T., Jarrad, G., Murphy, S. A., & Bidargaddi, N. (2019). Poster: A smartphone-based behavioural activation application using recommender system. In UbiComp/ISWC 2019 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 250-253). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3343785

Zhang, Tao ; Jarrad, Geoff ; Murphy, Susan A. et al. / Poster : A smartphone-based behavioural activation application using recommender system. UbiComp/ISWC 2019 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York : Association for Computing Machinery, Inc, 2019. pp. 250-253

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abstract = "The efficacy of behavioural activation in the treatment of major depressive disorders has been established in a number of studies over the last four decades. Although a number of recent studies show that behavioural activation administered via a smartphone application has the potential to be effective in the treatment of depression, these opportunities are tempered by the problem that these interventions have high dropout rates. However, recent research finds that personalisation of content can positively influence engagement. We present MindTick, a smartphone-based behavioural activation application using a recommender system to deliver personalized content to encourage users to engage in behavioural activation activities.",

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note = "2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing / 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC '19 Adjunct ; Conference date: 09-09-2019 Through 13-09-2019",

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Zhang, T, Jarrad, G, Murphy, SA & Bidargaddi, N 2019, Poster: A smartphone-based behavioural activation application using recommender system. in UbiComp/ISWC 2019 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, New York, pp. 250-253, 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing / 2019 ACM International Symposium on Wearable Computers, London, United Kingdom, 9/09/19. https://doi.org/10.1145/3341162.3343785

Poster: A smartphone-based behavioural activation application using recommender system. / Zhang, Tao; Jarrad, Geoff; Murphy, Susan A. et al.
UbiComp/ISWC 2019 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, Inc, 2019. p. 250-253.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Zhang T, Jarrad G, Murphy SA, Bidargaddi N. Poster: A smartphone-based behavioural activation application using recommender system. In UbiComp/ISWC 2019 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, Inc. 2019. p. 250-253 doi: 10.1145/3341162.3343785

Poster: A smartphone-based behavioural activation application using recommender system

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