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Measuring Mobile Emotions: Measuring the Impossible?

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MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 109, Pages 1 - 3

https://doi.org/10.1145/1613858.1613983

Published: 15 September 2009 Publication History

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Abstract

Emotions as such is a research topic with a lot of coverage in various domains (neuroscience, psychology, medicine, criminology and more recently in user experience research). This workshop addresses multidisciplinary approaches, discussing ways of implementing mobile research about emotions. Particularly, this workshop aims to improve the assessment of emotions in the mobile context of field research. The workshop addresses particularly the state-of-the-art in emotion measurement and investigates the possibilities to apply and adopt these methods in the field of mobile HCI.

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Cited By

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Tzafilkou KEconomides AProtogeros N(2021)Mobile Sensing for Emotion Recognition in Smartphones: A Literature Review on Non-Intrusive MethodologiesInternational Journal of Human–Computer Interaction10.1080/10447318.2021.197929038:11(1037-1051)Online publication date: 27-Sep-2021
https://doi.org/10.1080/10447318.2021.1979290
Wu CZhang YJia JZhu W(2017)Mobile Contextual Recommender System for Online Social MediaIEEE Transactions on Mobile Computing10.1109/TMC.2017.269483016:12(3403-3416)Online publication date: 1-Dec-2017
https://doi.org/10.1109/TMC.2017.2694830
Wu CJia JZhu WChen XYang BZhang YHanjalic ASnoek CWorring MBulterman DHuet BKelliher AKompatsiaris YLi J(2016)Affective Contextual Mobile Recommender SystemProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2964327(1375-1384)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1145/2964284.2964327
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Index Terms

Measuring Mobile Emotions: Measuring the Impossible?
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2009

473 pages

ISBN:9781605582818

DOI:10.1145/1613858

Conference Chair:
Reinhard Oppermann
Fraunhofer FIT
,
Program Chairs:
Markus Eisenhauer
Fraunhofer FIT
,
Matthias Jarke
RWTH Aachen + Fraunhofer FIT
,
Volker Wulf
University of Siegen + Fraunhofer FIT

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2009

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MobileHCI '09

MobileHCI '09: 11th International Conference on Human Computer Interaction with Mobile Devices and Services

September 15 - 18, 2009

Bonn, Germany

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MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Tzafilkou KEconomides AProtogeros N(2021)Mobile Sensing for Emotion Recognition in Smartphones: A Literature Review on Non-Intrusive MethodologiesInternational Journal of Human–Computer Interaction10.1080/10447318.2021.197929038:11(1037-1051)Online publication date: 27-Sep-2021
https://doi.org/10.1080/10447318.2021.1979290
Wu CZhang YJia JZhu W(2017)Mobile Contextual Recommender System for Online Social MediaIEEE Transactions on Mobile Computing10.1109/TMC.2017.269483016:12(3403-3416)Online publication date: 1-Dec-2017
https://doi.org/10.1109/TMC.2017.2694830
Wu CJia JZhu WChen XYang BZhang YHanjalic ASnoek CWorring MBulterman DHuet BKelliher AKompatsiaris YLi J(2016)Affective Contextual Mobile Recommender SystemProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2964327(1375-1384)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1145/2964284.2964327
Alepis EVirvou MAlepis EVirvou M(2014)Related WorkObject-Oriented User Interfaces for Personalized Mobile Learning10.1007/978-3-642-53851-3_2(11-24)Online publication date: 9-Jan-2014
https://doi.org/10.1007/978-3-642-53851-3_2
Church KHoggan EOliver NHvannberg ELárusdóttir MBlandford AGulliksen J(2010)A study of mobile mood awareness and communication through MobiMoodProceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries10.1145/1868914.1868933(128-137)Online publication date: 16-Oct-2010
https://dl.acm.org/doi/10.1145/1868914.1868933
Nielek RWierzbicki A(2010)Emotion Aware Mobile ApplicationComputational Collective Intelligence. Technologies and Applications10.1007/978-3-642-16732-4_14(122-131)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16732-4_14

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Recommendations

Music, Heart Rate, and Emotions in the Context of Stimulating Technologies

Emotions, experiences and usability in real-life mobile phone use

Measuring multiple components of emotions in interactive contexts

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