research-article

A study of mobile mood awareness and communication through MobiMood

Authors:

Nuria OliverAuthors Info & Claims

NordiCHI '10: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

Pages 128 - 137

https://doi.org/10.1145/1868914.1868933

Published: 16 October 2010 Publication History

Abstract

Recent research shows that there has been increased interest in investigating the role of mood and emotions in the HCI domain. Our moods, however, are complex. They are affected by many dynamic factors and can change multiple times throughout each day. Furthermore, our mood can have significant implications in terms of our experiences, our actions and most importantly on our interactions with other people. We have developed MobiMood, a proof-of-concept social mobile application that enables groups of friends to share their moods with each other. In this paper, we present the results of an exploratory field study of MobiMood, focusing on explicit mood sharing in-situ. Our results highlight that certain contextual factors had an effect on mood and the interpretation of moods. Furthermore, mood sharing and mood awareness appear to be good springboards for conversations and increased communication among users. These and other findings lead to a number of key implications in the design of mobile social awareness applications.

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Cited By

Shania MHandayani PAsih S(2023)Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method ApproachesJMIR Formative Research10.2196/489137(e48913)Online publication date: 3-Jul-2023
https://doi.org/10.2196/48913
Nafees MSaxena NCardenas AGrijalva SBurnap P(2023)Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A ReviewACM Computing Surveys10.1145/356557055:10(1-36)Online publication date: 2-Feb-2023
https://dl.acm.org/doi/10.1145/3565570
Kruzan KNg AStiles-Shields CLattie EMohr DReddy M(2023)The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental HealthProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581209(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581209
Show More Cited By

Index Terms

A study of mobile mood awareness and communication through MobiMood
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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NordiCHI '10: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

October 2010

889 pages

ISBN:9781605589343

DOI:10.1145/1868914

General Chairs:
Ebba Þóra Hvannberg
University of Iceland, Iceland
,
Marta Kristín Lárusdóttir
Reykjavik University, Iceland
,
Program Chairs:
Ann Blandford
University College London
,
Jan Gulliksen
Royal Institute of Technology, Sweden

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Reykjavik University
University of Iceland

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New York, NY, United States

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Published: 16 October 2010

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NordiCHI '10: 6th Nordic Conference on Human-Computer Interaction

October 16 - 20, 2010

Reykjavik, Iceland

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Cited By

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https://doi.org/10.2196/48913
Nafees MSaxena NCardenas AGrijalva SBurnap P(2023)Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A ReviewACM Computing Surveys10.1145/356557055:10(1-36)Online publication date: 2-Feb-2023
https://dl.acm.org/doi/10.1145/3565570
Kruzan KNg AStiles-Shields CLattie EMohr DReddy M(2023)The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental HealthProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581209(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581209
Sarsenbayeva ZFleming CTag BWithana Avan Berkel NMcEwan A(2023)A Review on Mood Assessment Using SmartphonesHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_22(385-413)Online publication date: 25-Aug-2023
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