A Model for User Interface Adaptation of Multi-Device Media Services

Dominguez, Ana; Flórez, Jesús; Lafuente, Alberto; Masneri, Stefano; Tamayo, Inigo; Zorrilla, Mikel

doi:10.1109/tbc.2021.3064221

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…In the abovementioned IBB system and IoT-based media framework, although content is presented through appropriate devices at the right time, there is no method for selecting specific devices. A general multi-device adaptation model has been proposed [3]. The method focuses on the combinatorial optimization of the candidate predetermined "display size" and "layout" of TVs, PCs, smartphones, and tablets.…”

Section: Related Workmentioning

confidence: 99%

“…Although the number of smart devices is increasing and we use multiple devices in our daily lives, there are few methods to appropriately select content presentation devices. Among the existing methods, a method has been proposed that performs a combinatorial optimization of the candidate "display size" of TVs, PCs, smartphones, and tablets, and a given "layout" [3]. This method focuses on improving the efficiency of combinatorial op-1 NHK (Japan Broadcasting Corporation), Setagaya, Tokyo 157-8510, Japan a) abe.s-jg@nhk.or.jp timization, which can also be applied to other problems.…”

Section: Introductionmentioning

confidence: 99%

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Web-based Force-directed Adaptive Device Selection for User Notification

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Fujii

Shimoda

et al. 2023

Journal of Information Processing

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With the proliferation of the Internet of Things and smart devices, content presentation devices and content types are constantly increasing. However, there is little consideration given to selecting the appropriate devices for presenting a particular content. Therefore, we propose a web-based device selection method based on semantic data from the resource description framework. In this study, we use notifications as examples of content, and a network graph representing users, content, and devices is arranged in a two-dimensional space by our user-centric force-directed algorithm. By selecting device nodes near the user node from the placement results, devices are determined to present content. Based on the proposed algorithm, a device selection system and a notification presentation application were prototyped. The experimental results show that the proposed method has a higher probability of selecting the correct devices than the existing method of obtaining vectors from RDF data.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Web-based Force-directed Adaptive Device Selection for User Notification

Abe

Fujii

Shimoda

et al. 2023

Journal of Information Processing

View full text Add to dashboard Cite

show abstract

“…Delivering television, radio services and new rich media formats to a wide range of devices including smartphones, tablets, connected cars, or smart TVs is becoming more and more important. Users, in particular young audiences, make increasing use of such devices, both at home and on-the-move [7]. The delivery of content over the Internet is currently based on over-the-top (OTT) platforms where media traffic is not treated in any particular way, therefore similar to other data types [8].…”

Section: The Changing Media Distribution Landscapementioning

confidence: 99%