학술논문

A Model for User Interface Adaptation of Multi-Device Media Services
Document Type
Periodical
Source
IEEE Transactions on Broadcasting IEEE Trans. on Broadcast. Broadcasting, IEEE Transactions on. 67(3):606-618 Sep, 2021
Subject
Communication, Networking and Broadcast Technologies
Adaptation models
Layout
Media
Broadcasting
Usability
Human computer interaction
User experience
Multimedia broadband and broadcasting systems
multi-device
multi-screen
cross-device
user interface adaptation model
UI optimisation
Language
ISSN
0018-9316
1557-9611
Abstract
In the current audiovisual arena the user has the chance to consume different contents at once across multiple Internet-connected devices, such as smart TV, smartphone, tablet or laptop. However, few existing solutions are able to dynamically adapt a multitude of contents as a single experience across multi-device contexts and the existing ones are very scenario specific. To address this gap, we propose a general multi-device adaptation model, that provides a framework for building adaptive User Interfaces (UIs) for multi-screen applications under the Create Once and Publish Everywhere (COPE) concept. Hybrid broadcast-broadband TV is a reference application field for the adaptation model. However, our model is universal in the sense that it can be applied to any kind of content, device or user; in different multi-device scenarios; and in other fields such as industry or crisis management. The proposed model is an outcome of an extensive research that arose from a previous multi-device media service deployment with broadcasters, which helped to identify a set of guidelines and improvements. In order to meet this goal, the UI is formalised as a set of elements including components, devices and layouts and the adaptation process is modelled as a function of these components. Additionally, an evaluation model is provided which allows the validation of the approach in terms of quality, efficiency and universality. The tests carried out show that the model provides efficient solutions which, although they are suboptimal, have enough quality to meet the expectations of broadcasters and researchers in different scenarios.