research-article

Exploring Online Video Watching Behaviors

Authors:

Melissa BicaAuthors Info & Claims

TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video

Pages 108 - 117

https://doi.org/10.1145/3317697.3323355

Published: 04 June 2019 Publication History

Abstract

Laptop and desktop computers are frequently used to watch online videos from a wide variety of services. From short YouTube clips, to television programming, to full-length films, users are increasingly moving much of their video viewing away from television sets towards computers. But what are they watching, and when? We set out to understand current video use on computers through analyzing full browsing histories from a diverse set of online Americans, finding some temporal differences in genres watched, yet few differences in the length of videos watched by hour. We also explore topics of videos, how users arrive at online videos through referral links, and conclude with several implications for the design of online video services that focus on the types of content people are actually watching online.

References

[1]

Jeff Baumgartner. 2013. ‘Arrested Development’ Debut Had ‘Noticeable’ Impact on Network Traffic. https://www.multichannel.com/news/arrested-development-debut-had-noticeable-impact-network-traffic-358487

[2]

Frank Bentley and Janet Murray. 2016. Understanding Video Rewatching Experiences. In Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video(TVX ’16). ACM, New York, NY, USA, 69–75.

Digital Library

[3]

Frank R. Bentley, Nediyana Daskalova, and Brooke White. 2017. Comparing the Reliability of Amazon Mechanical Turk and Survey Monkey to Traditional Market Research Surveys. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems(CHI EA ’17). ACM, New York, NY, USA, 1092–1099.

Digital Library

[4]

Frank R. Bentley and Danielle Lottridge. 2019. Understanding Mass-Market Mobile Video Behaviors in the Streaming Era. In Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems(CHI ’19). ACM, New York, NY, USA.

Digital Library

[5]

Frank R. Bentley, Katie Quehl, Jordan Wirfs-Brock, and Melissa Bica. 2019. Understanding Online News Behaviors. In Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems(CHI ’19). ACM, New York, NY, USA.

Digital Library

[6]

Mathias Bärtl. 2018. YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence 24, 1 (2018), 16–32. arXiv:https://doi.org/10.1177/1354856517736979

[7]

Juan Pablo Carrascal, Christopher Riederer, Vijay Erramilli, Mauro Cherubini, and Rodrigo de Oliveira. 2013. Your Browsing Behavior for a Big Mac: Economics of Personal Information Online. In Proceedings of the 22Nd International Conference on World Wide Web(WWW ’13). ACM, New York, NY, USA, 189–200.

Digital Library

[8]

X. Che, B. Ip, and L. Lin. 2015. A Survey of Current YouTube Video Characteristics. IEEE MultiMedia 22, 2 (Apr 2015), 56–63.

Digital Library

[9]

Xu Cheng, Jiangchuan Liu, and Cameron Dale. 2013. Understanding the Characteristics of Internet Short Video Sharing: A YouTube-Based Measurement Study. Trans. Multi. 15, 5 (Aug. 2013), 1184–1194.

Digital Library

[10]

Mann Gavin, Venturini Francesco, Murdoch Robin, Mishra Bikash, Moorby Gemma, and Bouchra Carlier. 2015. Digital Video and the Connected Consumer. https://www.accenture.com/t20150914T152334Z_w_/us-en/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_20/Accenture-Digital-Video-Connected-Consumer.pdfla=en#zoom=50

[11]

Jan Hess, Benedikt Ley, Corinna Ogonowski, Lin Wan, and Volker Wulf. 2011. Jumping Between Devices and Services: Towards an Integrated Concept for Social Tv. In Proceedings of the 9th European Conference on Interactive TV and Video(EuroITV ’11). ACM, New York, NY, USA, 11–20.

Digital Library

[12]

Christian Holz, Frank Bentley, Karen Church, and Mitesh Patel. 2015. ”I’m Just on My Phone and They’Re Watching TV”: Quantifying Mobile Device Use While Watching Television. In Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video(TVX ’15). ACM, New York, NY, USA, 93–102.

Digital Library

[13]

Jason Kincaid. 2010. YouTube Boosts Maximum Upload Limit to 15 Minutes. https://techcrunch.com/2010/07/29/youtube-time-limit/

[14]

Netflix. 2013. Netflix Declares Binge Watching is the New Normal. https://media.netflix.com/en/press-releases/netflix-declares-binge-watching-is-the-new-normal-migration-1

[15]

Nielsen. 2018. The Nielsen Total Audience Report: Q2 2018. https://www.nielsen.com/us/en/insights/reports/2018/q2-2018-total-audience-report.html

[16]

Matthew Pittman and Kim Sheehan. 2015. Sprinting a media marathon: Uses and gratifications of binge-watching television through Netflix. First Monday 20, 10 (2015).

[17]

Jacob M. Rigby, Duncan P. Brumby, Anna L. Cox, and Sandy J.J. Gould. 2018. Old Habits Die Hard: A Diary Study of On-Demand Video Viewing. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems(CHI EA ’18). ACM, New York, NY, USA, Article LBW016, 6 pages.

Digital Library

[18]

Jacob M. Rigby, Duncan P. Brumby, Anna L. Cox, and Sandy J. J. Gould. 2016. Watching Movies on Netflix: Investigating the Effect of Screen Size on Viewer Immersion. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct(MobileHCI ’16). ACM, New York, NY, USA, 714–721.

Digital Library

[19]

Jacob M. Rigby, Duncan P. Brumby, Sandy J. J. Gould, and Anna L. Cox. 2018. ”I Can Watch What I Want”: A Diary Study of On-Demand and Cross-Device Viewing. In Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video(TVX ’18). ACM, New York, NY, USA, 69–80.

Digital Library

[20]

YouTube. 2010. Upload Videos Longer Than 15 Minutes. https://support.google.com/youtube/answer/71673?co=GENIE.Platform%3DDesktophl=en

Cited By

Liu JZhang Y(2024)Modeling Health Video Consumption Behaviors on Social Media: Activities, Challenges, and CharacteristicsProceedings of the ACM on Human-Computer Interaction10.1145/36536998:CSCW1(1-28)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653699
Chung YHsu CChan MCherng F(2024)Enhancing ESL Learners' Experience and Performance through Gradual Adjustment of Video Speed during Extensive ViewingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642366(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642366
Wiranti HHamzah MAhsyar TSyaifullah (2024)Usability Evaluation Of Viu Application Using Post-Study System Usability Questionnaire (PSSUQ) and Use Questionnaire Methods2024 10th International Conference on Communication and Signal Processing (ICCSP)10.1109/ICCSP60870.2024.10544005(400-405)Online publication date: 12-Apr-2024
https://doi.org/10.1109/ICCSP60870.2024.10544005
Show More Cited By

Recommendations

Understanding Video Rewatching Experiences
TVX '16: Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video

New video platforms have enabled a wide variety of opportunities for rewatching video content. From streaming sites such as Netflix, Hulu, and HBO Now, to the proliferation of syndicated content on cable and satellite television, to new streaming ...
How text and audio chat change the online video experience
UXTV '08: Proceedings of the 1st international conference on Designing interactive user experiences for TV and video

Many online video sites provide a text chat feature so viewers can chat with others while watching videos. How does chatting affect their experience? Would audio chat be more fun or would it be too distracting? The richer medium of audio may more ...
Interactive video stories from user generated content: a school concert use case
ICIDS'12: Proceedings of the 5th international conference on Interactive Storytelling

This paper describes a web-based narrative system able to generate video compilations, framed as event stories, from a shared repository of video recordings of the event itself and possibly of related events. For this, it employs narrative techniques ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video

June 2019

299 pages

ISBN:9781450360173

DOI:10.1145/3317697

Copyright © 2019 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]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 June 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

TVX '19

Sponsor:

SIGCHI

TVX '19: ACM International Conference on Interactive Experiences for TV and Online Video

June 5 - 7, 2019

Salford (Manchester), United Kingdom

Acceptance Rates

Overall Acceptance Rate 69 of 245 submissions, 28%

Upcoming Conference

IMX '25

Sponsor:
sigchi

ACM International Conference on Interactive Media Experiences

June 3 - 6, 2025

Niter?i , Brazil

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

18
Total Citations
View Citations
991
Total Downloads

Downloads (Last 12 months)177
Downloads (Last 6 weeks)14

Reflects downloads up to 25 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Liu JZhang Y(2024)Modeling Health Video Consumption Behaviors on Social Media: Activities, Challenges, and CharacteristicsProceedings of the ACM on Human-Computer Interaction10.1145/36536998:CSCW1(1-28)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653699
Chung YHsu CChan MCherng F(2024)Enhancing ESL Learners' Experience and Performance through Gradual Adjustment of Video Speed during Extensive ViewingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642366(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642366
Wiranti HHamzah MAhsyar TSyaifullah (2024)Usability Evaluation Of Viu Application Using Post-Study System Usability Questionnaire (PSSUQ) and Use Questionnaire Methods2024 10th International Conference on Communication and Signal Processing (ICCSP)10.1109/ICCSP60870.2024.10544005(400-405)Online publication date: 12-Apr-2024
https://doi.org/10.1109/ICCSP60870.2024.10544005
Buzeta CDe Pelsmacker PDens N(2024)Social Media Characteristics and Consumers’ Online Brand-Related Activities (COBRAs): The Mediating Role of Time Spent and Emotional ConnectednessJournal of Interactive Advertising10.1080/15252019.2024.241124324:4(401-423)Online publication date: Nov-2024
https://doi.org/10.1080/15252019.2024.2411243
Polat HTaş NKaban AKayaduman HBattal A(2024)Human or Humanoid Animated Pedagogical Avatars in Video Lectures: The Impact of the Knowledge Type on Learning OutcomesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2415762(1-16)Online publication date: 18-Oct-2024
https://doi.org/10.1080/10447318.2024.2415762
González-Neira AFiaño Salinas C(2023)La televisión más allá de la televisión: YouTube y los canales autonómicosDoxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales10.31921/doxacom.n37a1838(401-429)Online publication date: 1-Jul-2023
https://doi.org/10.31921/doxacom.n37a1838
Yaqoub MJingwu ZAmbekar S(2023)Pandemic impacts on cinema industry and over-the-top platforms in ChinaMedia International Australia10.1177/1329878X221145975191:1(105-128)Online publication date: 3-Jan-2023
https://doi.org/10.1177/1329878X221145975
Raj SGhosh APandiyan SChauhan DGoel S(2023)Analysis of YouTube content on substance use disorder treatment and recoveryInternational Journal of Social Psychiatry10.1177/0020764023119030469:8(2097-2109)Online publication date: 31-Aug-2023
https://doi.org/10.1177/00207640231190304
Cheng YZhang HJiang J(2023)Online Profiling and Adaptation of Quality Sensitivity for Internet VideoProceedings of the 2023 ACM Symposium on Cloud Computing10.1145/3620678.3624788(520-527)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3620678.3624788
Kim SShin DKim JKwon SKim J(2023)How Older Adults Use Online Videos for LearningProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580671(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580671
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten