Designing a large-scale video chat application
Proceedings of the 13th annual ACM international conference on Multimedia
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
How people use the web on mobile devices
Proceedings of the 17th international conference on World Wide Web
Understanding mobile information needs
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Contextual patterns in mobile service usage
Personal and Ubiquitous Computing
Making love in the network closet: the benefits and work of family videochat
Proceedings of the 2010 ACM conference on Computer supported cooperative work
MoVi: mobile phone based video highlights via collaborative sensing
Proceedings of the 8th international conference on Mobile systems, applications, and services
SafeVchat: detecting obscene content and misbehaving users in online video chat services
Proceedings of the 20th international conference on World wide web
Hello, is grandma there? let's read! StoryVisit: family video chat and connected e-books
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A cross-layer design for scalable mobile video
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Efficient misbehaving user detection in online video chat services
Proceedings of the fifth ACM international conference on Web search and data mining
Video kids: augmenting close friendships with asynchronous video conversations in videopal
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MicroCast: cooperative video streaming on smartphones
Proceedings of the 10th international conference on Mobile systems, applications, and services
Scalable misbehavior detection in online video chat services
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
How and why teenagers use video chat
Proceedings of the 2013 conference on Computer supported cooperative work
Hi-index | 0.00 |
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.