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Movie+: Towards Exploring Social Effects of Emotional Fingerprints for Video Clips and Movies

Published: 02 May 2019 Publication History

Abstract

Collaborative movie viewing with the loved ones increases connectedness and social bonds within family members and friends. Furthermore, with the rapid adoption of personal mobile devices, people often engage in this activity being geographically separated. However, conveying our feelings and emotions about a recently watched movie or a video clip is often limited to a post on social media or a short blurb on an instant messaging app. Drawing on the popular interest in quantified-self, which envisioned one collecting and sharing biophysical information from everyday routines (e.g., workouts), we have designed and developed Movie+, a mobile application, which utilizes personal biophysical data to construct an individual's "emotional fingerprint" while viewing a video clip. Movie+ allows the selective sharing of this information through different visualization options, as well as rendering others' emotional fingerprints over the same clip. In this submission, we outline the design rationale and briefly describe our application prototype.

Supplementary Material

MP4 File (demo1123.mp4)
Supplemental video

References

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Jed R. Brubaker, Gina Venolia, and John C. Tang. 2012. Focusing on shared experiences: moving beyond the camera in video communication. In Proceedings of the Designing Interactive Systems Conference (DIS '12). ACM, New York, NY, USA, 96--105.
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Franco Curmi, Maria Angela Ferrario, Jen Southern, and Jon Whittle. 2013. HeartLink: open broadcast of live biometric data to social networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 1749--1758.
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Daniel A. Epstein, Bradley H. Jacobson, Elizabeth Bales, David W. McDonald, and Sean A. Munson. 2015. From "nobody cares" to "way to go!": A Design Framework for Social Sharing in Personal Informatics. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '15). ACM, New York, NY, USA, 1622--1636.
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Azadeh Forghani, Gina Venolia, and Kori Inkpen. 2014. Media2gether: Sharing Media during a Call. In Proceedings of the 18th International Conference on Supporting Group Work (GROUP '14). ACM, New York, NY, USA, 142--151.
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Anna Macaranas, Gina Venolia, Kori Inkpen, and John Tang. 2013. Sharing Experiences over Video: Watching Video Programs together at a Distance. In: Kotzé P., Marsden G., Lindgaard G., Wesson J., Winckler M. (eds) HumanComputer Interaction -- INTERACT 2013. INTERACT 2013. Lecture Notes in Computer Science, vol 8120. Springer, Berlin, Heidelberg.
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Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, David Demirdjian, and Rosalind Picard. 2014. Automatic measurement of ad preferences from facial responses gathered over the internet. Image and Vision Computing, 32(10), pp.630--640.
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Cited By

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  • (2024)Enhancing Social Engagement in Cinemas through the Promotion of Emotion-SharingProceedings of the 2024 ACM International Conference on Interactive Media Experiences10.1145/3639701.3663638(361-368)Online publication date: 7-Jun-2024
  • (2020)RCEA: Real-time, Continuous Emotion Annotation for Collecting Precise Mobile Video Ground Truth LabelsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376808(1-15)Online publication date: 21-Apr-2020

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  1. Movie+: Towards Exploring Social Effects of Emotional Fingerprints for Video Clips and Movies

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    cover image ACM Conferences
    CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    3673 pages
    ISBN:9781450359719
    DOI:10.1145/3290607
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 02 May 2019

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    Author Tags

    1. YouTube video clips
    2. emotional metadata
    3. movie viewing
    4. sharing biophysical data

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    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    View all
    • (2024)Enhancing Social Engagement in Cinemas through the Promotion of Emotion-SharingProceedings of the 2024 ACM International Conference on Interactive Media Experiences10.1145/3639701.3663638(361-368)Online publication date: 7-Jun-2024
    • (2020)RCEA: Real-time, Continuous Emotion Annotation for Collecting Precise Mobile Video Ground Truth LabelsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376808(1-15)Online publication date: 21-Apr-2020

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