A methodology for User Interface adaptation of multi-device broadcast-broadband services

Abstract

New audiovisual experiences involve consuming several contents displayed through multiple internet-connected devices. The TV is still the central hub of the living room, but it is often used simultaneously with other screens. Consequently, the user has the chance to consume all different contents at once across multiple devices. However, no existing adaptation models are available to dynamically adapt such a multitude of contents in multi-device contexts. To address this gap, this paper proposes a novel multi-device adaptation methodology to build adaptive User Interfaces for multi-screen hybrid broadcast-broadband TV experiences. The methodology is extensible to any kind of content, device and user, and is applicable to different contexts considering technological evolution and other fields of application. The proposed methodology is the outcome of extensive research that arose from a previous multi-device media service deployment with broadcasters.

BIB_text

@Article {
title = {A methodology for User Interface adaptation of multi-device broadcast-broadband services},
journal = {IEEE Access},
pages = {211048-211062},
volume = {8},
keywds = {
Adaptation, Cross-device, Methodology, Multi-device
}
abstract = {

New audiovisual experiences involve consuming several contents displayed through multiple internet-connected devices. The TV is still the central hub of the living room, but it is often used simultaneously with other screens. Consequently, the user has the chance to consume all different contents at once across multiple devices. However, no existing adaptation models are available to dynamically adapt such a multitude of contents in multi-device contexts. To address this gap, this paper proposes a novel multi-device adaptation methodology to build adaptive User Interfaces for multi-screen hybrid broadcast-broadband TV experiences. The methodology is extensible to any kind of content, device and user, and is applicable to different contexts considering technological evolution and other fields of application. The proposed methodology is the outcome of extensive research that arose from a previous multi-device media service deployment with broadcasters.


}
doi = {10.1109/ACCESS.2020.3039616},
date = {2020-11-22},
}
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