Triple screen viewing practices : diversification or compartmentalization?

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Courtois, C., Schuurman, D. & De Marez, L. (2011). Triple screen viewing practices : diversification or compartmentalization?. In: 9th European Interactive TV Conference (EuroITV - 2011), Lisbon, Portugal, 2011-06-29. ACM.

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Triple Screen Viewing Practices: Diversification or Compartmentalization? Cédric Courtois, Dimitri Schuurman & Lieven De Marez, IBBT-MICT-Ghent University

Today’s domestic environments (a) Multiple devices + (b) Multiple channels

Consequently … Shifting opportunities, shifting media practices? What about convergence? Each medium has its niche? (Television for linear, computer for downloading, etc.?)

Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Results: further analysis ,[object Object],[object Object],[object Object],[object Object]

Results: Exploratory PCA Component 1 Laptop - Download/Recorded .84 -.20 -.30 .16 Laptop - Carrier .77 -.17 -.26 .07 Laptop - Linear .75 -.26 -.24 .15 Laptop - VoD .68 -.06 -.18 .14 Component 2 Television - Download/Recorded .16 -.88 -.15 .06 Television - Linear .15 -.87 -.16 .05 Television - VoD .20 -.79 -.15 .07 Television - Carrier .21 -.78 -.23 .06 Component 3 Desktop - Download/Recorded .30 -.18 -.85 .11 Desktop - Carrier .24 -.15 -.79 .07 Desktop - Linear .23 -.25 -.78 .06 Desktop - VoD .21 -.07 -.66 .08 Component 4 Mobile Phone - Linear .16 -.06 -.12 .92 Mobile Phone - VoD .14 -.07 -.07 .92 % Variance explained 27.57 15.46 11.97 10.68 Eigenvalue 3.86 2.16 1.68 1.50 Cronbach’s α .72 .83 .73 .76

Results: Exploratory PCA Evidence of strong compartmenalization Sample-specific solution? Component 1 Laptop - Download/Recorded .84 -.20 -.30 .16 Laptop - Carrier .77 -.17 -.26 .07 Laptop - Linear .75 -.26 -.24 .15 Laptop - VoD .68 -.06 -.18 .14 Component 2 Television - Download/Recorded .16 -.88 -.15 .06 Television - Linear .15 -.87 -.16 .05 Television - VoD .20 -.79 -.15 .07 Television - Carrier .21 -.78 -.23 .06 Component 3 Desktop - Download/Recorded .30 -.18 -.85 .11 Desktop - Carrier .24 -.15 -.79 .07 Desktop - Linear .23 -.25 -.78 .06 Desktop - VoD .21 -.07 -.66 .08 Component 4 Mobile Phone - Linear .16 -.06 -.12 .92 Mobile Phone - VoD .14 -.07 -.07 .92 % Variance explained 27.57 15.46 11.97 10.68 Eigenvalue 3.86 2.16 1.68 1.50 Cronbach’s α .72 .83 .73 .76

Results: Confirmatory cross-sample analysis ,[object Object],[object Object],[object Object],[object Object]

Results: Confirmatory cross-sample analysis ,[object Object],[object Object],[object Object],[object Object],Confirmation of compartmentalization Still, some weak correlations between components

Results: Relations between the use of different devices ,[object Object],[object Object],[object Object]

Results: Relations between the use of different devices ,[object Object],[object Object],[object Object],Weak cross-effects, despite controlling for the same devices

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Thank you for listening… Any questions? Contact: cedric.courtois@ugent.be, www.mict.be

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39:8 G. Zhou et al. A Multifrequency MAC Specially Designed for Wireless Sensor Network Applications 39:9 A Multifrequency MAC Specially Designed for Wireless Sensor Network Applications[footnoteRef:1] [1: This work is supported by the National Science Foundation, under grant CNS-0435060, grant CCR-0325197 and grant EN-CS-0329609. Author’s addresses: G. Zhou, Computer Science Department, College of William and Mary; Y. Wu and J.A. Stankovic, Computer Science Department, University of Virginia; T. Yan, Eaton Innovation Center; T. He, Computer Science Department, University of Minnesota; C. Huang, Google; T.F. Abdelzaher, (Current address) NASA Ames Research Center, Moffett Field, California 94035. Permission to make digital or hardcopies 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 show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credits permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and/or a fee. Permissions may be requested from Publications Dept., ACM, Inc., 2 Penn Plaza, Suite 701, New York, NY 10121-0701 USA, fax +1 (212) 869-0481, or [email protected] © 2010 ACM 1539-9087/2010/03-ART39 $15.00 DOI:http://dx.doi.org/10.1145/0000000.0000000] 39 GANG ZHOU, College of William and Mary YAFENG WU, University of Virginia TING YAN, Eaton Innovation Center TIAN HE, University of Minnesota CHENGDU HUANG, Google JOHN A. STANKOVIC, University of Virginia TAREK F. ABDELZAHER, University of Illinois at Urbana-Champaign Multifrequency media access control has been well understood in general wireless ad hoc networks, while in wireless sensor networks, researchers still focus on single frequency solutions. In wireless sensor networks, each device is typically equipped with a single radio transceiver and applications adopt much smaller packet sizes compared to those in general wireless ad hoc networks. Hence, the multifrequency MAC protocols proposed for general wireless ad hoc networks are not suitable for wireless sensor network applications, which we further demonstrate through our simulation experiments. In this article, we propose MMSN, which takes advantage of multifrequency availability while, at the same time, takes into consideration the restrictions of wireless sensor networks. Through extensive experiments, MMSN exhibits the prominent ability to.

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Triple screen viewing practices : diversification or compartmentalization?

1. Triple Screen Viewing Practices: Diversification or Compartmentalization? Cédric Courtois, Dimitri Schuurman & Lieven De Marez, IBBT-MICT-Ghent University

2. Today’s domestic environments (a) Multiple devices + (b) Multiple channels

3. Consequently … Shifting opportunities, shifting media practices? What about convergence? Each medium has its niche? (Television for linear, computer for downloading, etc.?)

4. Consequently … Shifting opportunities, shifting media practices? What about convergence? Each medium has its niche? (Television for linear, computer for downloading, etc.?) RQ1: Do we form hybrid media practices, mixing devices and channels? RQ2: How do practice patterns relate to the use of diferent devices for audiovisual consumption?

6. Results: descriptives (complete sample)

8. Results: Exploratory PCA Component 1 Laptop - Download/Recorded .84 -.20 -.30 .16 Laptop - Carrier .77 -.17 -.26 .07 Laptop - Linear .75 -.26 -.24 .15 Laptop - VoD .68 -.06 -.18 .14 Component 2 Television - Download/Recorded .16 -.88 -.15 .06 Television - Linear .15 -.87 -.16 .05 Television - VoD .20 -.79 -.15 .07 Television - Carrier .21 -.78 -.23 .06 Component 3 Desktop - Download/Recorded .30 -.18 -.85 .11 Desktop - Carrier .24 -.15 -.79 .07 Desktop - Linear .23 -.25 -.78 .06 Desktop - VoD .21 -.07 -.66 .08 Component 4 Mobile Phone - Linear .16 -.06 -.12 .92 Mobile Phone - VoD .14 -.07 -.07 .92 % Variance explained 27.57 15.46 11.97 10.68 Eigenvalue 3.86 2.16 1.68 1.50 Cronbach’s α .72 .83 .73 .76

9. Results: Exploratory PCA Evidence of strong compartmenalization Sample-specific solution? Component 1 Laptop - Download/Recorded .84 -.20 -.30 .16 Laptop - Carrier .77 -.17 -.26 .07 Laptop - Linear .75 -.26 -.24 .15 Laptop - VoD .68 -.06 -.18 .14 Component 2 Television - Download/Recorded .16 -.88 -.15 .06 Television - Linear .15 -.87 -.16 .05 Television - VoD .20 -.79 -.15 .07 Television - Carrier .21 -.78 -.23 .06 Component 3 Desktop - Download/Recorded .30 -.18 -.85 .11 Desktop - Carrier .24 -.15 -.79 .07 Desktop - Linear .23 -.25 -.78 .06 Desktop - VoD .21 -.07 -.66 .08 Component 4 Mobile Phone - Linear .16 -.06 -.12 .92 Mobile Phone - VoD .14 -.07 -.07 .92 % Variance explained 27.57 15.46 11.97 10.68 Eigenvalue 3.86 2.16 1.68 1.50 Cronbach’s α .72 .83 .73 .76

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