research-article

Analysis of User Behavior with a Multicamera HbbTV App in a Live Sports Event

Authors:

Sergi Fernández,

David CassanyAuthors Info & Claims

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

Pages 43 - 48

https://doi.org/10.1145/2932206.2932210

Published: 17 June 2016 Publication History

Abstract

This paper describes the results of a large-scale live pilot test of an HbbTV multicamera application. In this pilot test, carried out during an association football match, the interactions of 6203 user devices with the application were logged. An exploratory statistical analysis was performed on the dataset, to better understand the behavior of the users on the application. The analysis yielded conclusions that can be useful to those seeking to build a successful multicamera service, with insights on issues of suitability of program genres, multi-camera content selection, audience segmentation, and the structure of data stream traffic.

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Cited By

Amroun H(Hamy) Temkit MAmmi M(2018)Deep Learning Approach of Raw Human Activity DataChallenges of the Internet of Things10.1002/9781119549765.ch2(27-51)Online publication date: 12-Oct-2018
https://doi.org/10.1002/9781119549765.ch2
Amroun HTemkit MAmmi M(2017)DNN-based approach for identification of the level of attention of the TV-viewers using IoT network2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/UIC-ATC.2017.8397660(1-4)Online publication date: Aug-2017
https://doi.org/10.1109/UIC-ATC.2017.8397660
Amroun HTemkit MAmmi M(2017)Study of the viewers' TV-watching behaviors before, during and after watching a TV program using iot network2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2017.8122886(1850-1855)Online publication date: 5-Oct-2017
https://dl.acm.org/doi/10.1109/SMC.2017.8122886

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cover image ACM Conferences

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

June 2016

202 pages

ISBN:9781450340670

DOI:10.1145/2932206

General Chairs:
Patrick Whitney
IIT Institute of Design, USA
,
Janet Murray
Ivan Allen College of Liberal Arts, Georgia Institute of Technology, USA
,
Santosh Basapur
IIT Institute of Design, USA
,
Program Chairs:
Noor Ali Hasan
Google Inc., USA
,
Jochen Huber
Synaptics Inc., Switzerland

Copyright © 2016 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2016

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TVX'16

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SIGCHI

TVX'16: ACM International Conference on Interactive Experiences for TV and Online Video

June 22 - 24, 2016

Illinois, Chicago, USA

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TVX '16 Paper Acceptance Rate 12 of 38 submissions, 32%;

Overall Acceptance Rate 69 of 245 submissions, 28%

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Cited By

Amroun H(Hamy) Temkit MAmmi M(2018)Deep Learning Approach of Raw Human Activity DataChallenges of the Internet of Things10.1002/9781119549765.ch2(27-51)Online publication date: 12-Oct-2018
https://doi.org/10.1002/9781119549765.ch2
Amroun HTemkit MAmmi M(2017)DNN-based approach for identification of the level of attention of the TV-viewers using IoT network2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/UIC-ATC.2017.8397660(1-4)Online publication date: Aug-2017
https://doi.org/10.1109/UIC-ATC.2017.8397660
Amroun HTemkit MAmmi M(2017)Study of the viewers' TV-watching behaviors before, during and after watching a TV program using iot network2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2017.8122886(1850-1855)Online publication date: 5-Oct-2017
https://dl.acm.org/doi/10.1109/SMC.2017.8122886

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