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Understanding user behavior at scale in a mobile video chat application

Authors:

Shivakant MishraAuthors Info & Claims

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Pages 647 - 656

https://doi.org/10.1145/2493432.2493488

Published: 08 September 2013 Publication History

Abstract

Online video chat services such as Chatroulette and Omegle randomly match users in video chat sessions and have become increasingly popular, with tens of thousands of users online at anytime during a day. Our interest is in examining user behavior in the growing domain of mobile video, and in particular how users behave in such video chat services as they are extended onto mobile clients. To date, over four thousand people have downloaded and used our Android-based mobile client, which was developed to be compatible with an existing video chat service. The paper provides a first-ever detailed large scale study of mobile user behavior in a random video chat service over a three week period. This study identifies major characteristics such as mobile user session durations, time of use, demographic distribution and the large number of brief sessions that users click through to find good matches. Through content analysis of video and audio, as well as analysis of texting and clicking behavior, we discover key correlations among these characteristics, e.g., normal mobile users are highly correlated with using the front camera and with the presence of a face, whereas misbehaving mobile users have a high negative correlation with the presence of a face.

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Cited By

Uddin SLeszczuk MGrega M(2022)Preliminary Study on Video Codec Optimization Using VMAFIntelligent Information and Database Systems10.1007/978-3-031-21743-2_37(469-480)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-21743-2_37
R. D. AUdupa N(2020)A Study of the Evolution of Video Codec and its Future Research Direction2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)10.1109/ICAECC50550.2020.9339513(1-13)Online publication date: 11-Dec-2020
https://doi.org/10.1109/ICAECC50550.2020.9339513
Lin JLu Z(2017)The Rise and Proliferation of Live-Streaming in China: Insights and LessonsHCI International 2017 – Posters' Extended Abstracts10.1007/978-3-319-58753-0_89(632-637)Online publication date: 13-May-2017
https://doi.org/10.1007/978-3-319-58753-0_89
Show More Cited By

Index Terms

Understanding user behavior at scale in a mobile video chat application
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Published In

cover image ACM Conferences

UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

September 2013

846 pages

ISBN:9781450317702

DOI:10.1145/2493432

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

Copyright © 2013 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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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
University of Florida: University of Florida
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

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UbiComp '13

Sponsor:

SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

Acceptance Rates

UbiComp '13 Paper Acceptance Rate 92 of 394 submissions, 23%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Uddin SLeszczuk MGrega M(2022)Preliminary Study on Video Codec Optimization Using VMAFIntelligent Information and Database Systems10.1007/978-3-031-21743-2_37(469-480)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-21743-2_37
R. D. AUdupa N(2020)A Study of the Evolution of Video Codec and its Future Research Direction2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)10.1109/ICAECC50550.2020.9339513(1-13)Online publication date: 11-Dec-2020
https://doi.org/10.1109/ICAECC50550.2020.9339513
Lin JLu Z(2017)The Rise and Proliferation of Live-Streaming in China: Insights and LessonsHCI International 2017 – Posters' Extended Abstracts10.1007/978-3-319-58753-0_89(632-637)Online publication date: 13-May-2017
https://doi.org/10.1007/978-3-319-58753-0_89
Tang JVenolia GInkpen KKaye JDruin ALampe CMorris DHourcade J(2016)Meerkat and PeriscopeProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858374(4770-4780)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858374
Tian LRafiq RLi SChu DHan RLv QMishra SYoussef MMascolo CKawsar F(2014)Multi-modal fusion for flasher detection in a mobile video chat applicationProceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.4108/icst.mobiquitous.2014.257973(267-276)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.4108/icst.mobiquitous.2014.257973

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