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Computer-mediated television brings new requirements for user interface design and evaluation, since interactive television applications are deployed in a relaxed domestic setting and aim to gratify the need for entertainment. Digital video recorders, the generation of custom computer graphics on each digital set-top box, and the introduction of new(More)
Previous research has identified the differences in the user interface requirements between the PC and interactive TV (ITV), but there are still no design principles to address the idiosyncrasies of ITV. Interactive TV (ITV) applications gratify entertainment needs and leisure activities in a relaxed domestic context. Then, the mentality of efficiency and(More)
In this paper, we present a user-based event detection method for social web videos. Previous research in event detection has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the contents of a video. There are few user-centric approaches that have considered either search keywords, or external data such(More)
We explore the generation of interactive computer graphics at digital set-top boxes in place of the fixed graphics that were embedded to the television video before the broadcast. This direction raises new requirements for user interface development, since the graphics are merged with video at each set-top box dynamically, without the traditional quality(More)
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A diverse user population employs interactive TV (ITV) applications in a leisure context for entertainment purposes. The traditional user interface evaluation paradigm involving efficiency and task completion may not be adequate for the assessment of such applications. In this paper, we argue that unless ITV applications are evaluated with consideration for(More)
At first glance, the notion of social interactive television seems to be a tautology. Television watching has always been a social activity. People watch television together in their living rooms, and outside their homes they talk about last night's football match; and even call each other to recommend an interesting program. Unfortunately, until recently,(More)
In this paper, we present a system that facilitates the analysis of user activity within a web video. Previous research in user-based techniques has assumed an extra effort from the users, such as video replies, comments, tags, and annotations. We have developed and evaluated the SocialSkip system, which improves sense making of web videos by visualizing(More)