Moodbook: an application for continuous monitoring of social media usage and mood

Heng Zhang; Elcin Hanci; Shkurta Gashi; Oludamilare Matthews; Hanke Kimm

doi:10.1145/3267305.3274760

Moodbook: an application for continuous monitoring of social media usage and mood

Heng Zhang, Elcin Hanci, Shkurta Gashi, Oludamilare Matthews, Hanke Kimm

Human Technology Interaction

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

7 Citations (Scopus)

1 Downloads (Pure)

Abstract

The use of mobile phones has transcended its initial use as a communication device to become a medium to fulfilling social needs. While this has been beneficial to some, studies have exposed adverse effects such as depression and social media addiction. Since it is not always clear which category the user belongs, we propose a mobile application that records the social media interaction patterns of a user. The application also captures their mood before and after each social media use, until it can automatically infer the mood of the user through their social media interaction pattern. Consenting users can transmit the data collected on their device to a central location for further analysis by researchers of human behaviour or mobile application developers to provide intervention to users or design guidelines for mobile applications.

Original language	English
Title of host publication	UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	1150-1155
Number of pages	6
ISBN (Electronic)	978-1-4503-5966-5
DOIs	https://doi.org/10.1145/3267305.3274760
Publication status	Published - 8 Oct 2018
Event	22nd International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018 Conference number: 22 http://ubicomp.org/ubicomp2018/

Conference

Conference	22nd International Symposium on Wearable Computers, ISWC 2018
Abbreviated title	ISWC 2018
Country/Territory	Singapore
City	Singapore
Period	8/10/18 → 12/10/18
Other	2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
Internet address	http://ubicomp.org/ubicomp2018/

Keywords

Mood sensing
Smartphone sensing
Social media

Access to Document

10.1145/3267305.3274760

Cite this

Zhang, H., Hanci, E., Gashi, S., Matthews, O., & Kimm, H. (2018). Moodbook: an application for continuous monitoring of social media usage and mood. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 1150-1155). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267305.3274760

Zhang, Heng ; Hanci, Elcin ; Gashi, Shkurta et al. / Moodbook : an application for continuous monitoring of social media usage and mood. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York : Association for Computing Machinery, Inc, 2018. pp. 1150-1155

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title = "Moodbook: an application for continuous monitoring of social media usage and mood",

abstract = "The use of mobile phones has transcended its initial use as a communication device to become a medium to fulfilling social needs. While this has been beneficial to some, studies have exposed adverse effects such as depression and social media addiction. Since it is not always clear which category the user belongs, we propose a mobile application that records the social media interaction patterns of a user. The application also captures their mood before and after each social media use, until it can automatically infer the mood of the user through their social media interaction pattern. Consenting users can transmit the data collected on their device to a central location for further analysis by researchers of human behaviour or mobile application developers to provide intervention to users or design guidelines for mobile applications.",

keywords = "Mood sensing, Smartphone sensing, Social media",

author = "Heng Zhang and Elcin Hanci and Shkurta Gashi and Oludamilare Matthews and Hanke Kimm",

year = "2018",

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doi = "10.1145/3267305.3274760",

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publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "22nd International Symposium on Wearable Computers, ISWC 2018, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",

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Zhang, H, Hanci, E, Gashi, S, Matthews, O & Kimm, H 2018, Moodbook: an application for continuous monitoring of social media usage and mood. in UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, New York, pp. 1150-1155, 22nd International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 8/10/18. https://doi.org/10.1145/3267305.3274760

Moodbook: an application for continuous monitoring of social media usage and mood. / Zhang, Heng; Hanci, Elcin; Gashi, Shkurta et al.
UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, Inc, 2018. p. 1150-1155.

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

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AU - Hanci, Elcin

AU - Gashi, Shkurta

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AU - Kimm, Hanke

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AB - The use of mobile phones has transcended its initial use as a communication device to become a medium to fulfilling social needs. While this has been beneficial to some, studies have exposed adverse effects such as depression and social media addiction. Since it is not always clear which category the user belongs, we propose a mobile application that records the social media interaction patterns of a user. The application also captures their mood before and after each social media use, until it can automatically infer the mood of the user through their social media interaction pattern. Consenting users can transmit the data collected on their device to a central location for further analysis by researchers of human behaviour or mobile application developers to provide intervention to users or design guidelines for mobile applications.

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BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

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Zhang H, Hanci E, Gashi S, Matthews O, Kimm H. Moodbook: an application for continuous monitoring of social media usage and mood. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. New York: Association for Computing Machinery, Inc. 2018. p. 1150-1155 doi: 10.1145/3267305.3274760

Moodbook: an application for continuous monitoring of social media usage and mood

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