abstract

Feels Like Being There: Viewers Describe the Quality of Experience of Festival Video Using Their Own Words

Authors:

Michael Evans,

Lianne Kerlin,

Olivia Larner,

Rosie CampbellAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW029, Pages 1 - 6

https://doi.org/10.1145/3170427.3188507

Published: 20 April 2018 Publication History

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Abstract

Incorporating user-generated video (UGV) into professional coverage of public events has the potential to enhance experience through offering alternative perspectives. However, current tools for choosing video rely on objective technical quality metrics that might not identify these offerings. This work uses an Open Profiling of Quality methodology, in which participants freely describe and refine a vocabulary of positive and negative qualities of music festival video. By validation with a second viewer cohort, we show that this method can yield attributes with strong descriptive consensus. Our work should help enhance creative processes for selecting footage that transcend conventional criteria.

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Cited By

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Hinde SNoland KThomas GBull DGilchrist I(2022)On the Immersive Properties of High Dynamic Range VideoACM Transactions on Applied Perception10.1145/352469219:2(1-15)Online publication date: 11-Jul-2022
https://dl.acm.org/doi/10.1145/3524692
Ntoa SMargetis GRivera FEvans MAdami IMathioudakis GWeerakkody RMetaxakis GMarkopoulos IMrak MStephanidis C(2021)User generated content for enhanced professional productions: a mobile application for content contributors and a study on the factors influencing their satisfaction and loyaltyMultimedia Tools and Applications10.1007/s11042-021-11381-280:25(33679-33699)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11042-021-11381-2
Wright CAllnutt JCampbell REvans MForman RGibson JJolly SKerlin LLechelt SPhillipson GShotton M(2020)AI IN PRODUCTION: VIDEO ANALYSIS AND MACHINE LEARNING FOR EXPANDED LIVE EVENTS COVERAGESMPTE Motion Imaging Journal10.5594/JMI.2020.2967204129:2(36-45)Online publication date: Mar-2020
https://doi.org/10.5594/JMI.2020.2967204
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Index Terms

Feels Like Being There: Viewers Describe the Quality of Experience of Festival Video Using Their Own Words
1. Human-centered computing

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Information & Contributors

Information

Published In

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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Funding Sources

European Union (Horizon 2020)

Conference

CHI '18

Sponsor:

SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

Acceptance Rates

CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

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

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

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Hinde SNoland KThomas GBull DGilchrist I(2022)On the Immersive Properties of High Dynamic Range VideoACM Transactions on Applied Perception10.1145/352469219:2(1-15)Online publication date: 11-Jul-2022
https://dl.acm.org/doi/10.1145/3524692
Ntoa SMargetis GRivera FEvans MAdami IMathioudakis GWeerakkody RMetaxakis GMarkopoulos IMrak MStephanidis C(2021)User generated content for enhanced professional productions: a mobile application for content contributors and a study on the factors influencing their satisfaction and loyaltyMultimedia Tools and Applications10.1007/s11042-021-11381-280:25(33679-33699)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11042-021-11381-2
Wright CAllnutt JCampbell REvans MForman RGibson JJolly SKerlin LLechelt SPhillipson GShotton M(2020)AI IN PRODUCTION: VIDEO ANALYSIS AND MACHINE LEARNING FOR EXPANDED LIVE EVENTS COVERAGESMPTE Motion Imaging Journal10.5594/JMI.2020.2967204129:2(36-45)Online publication date: Mar-2020
https://doi.org/10.5594/JMI.2020.2967204
Jesus RSilveira BCorreia N(2020)Video Semantics Quality Assessment Using Deep LearningIntelligent Data Engineering and Automated Learning – IDEAL 202010.1007/978-3-030-62365-4_16(165-172)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1007/978-3-030-62365-4_16
Bailer WWijnants MLievens HClaes S(2020)Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio ContentMultiMedia Modeling10.1007/978-3-030-37734-2_31(375-387)Online publication date: 5-Jan-2020
https://dl.acm.org/doi/10.1007/978-3-030-37734-2_31
Yoo DSerholt SNovais NEriksson EKlokmose CDalsgaard PBrewster SFitzpatrick GCox AKostakos V(2019)Potentials and Challenges for User-generated Video Content in Public LibrariesExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312842(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312842

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