Abstract
The Digital TV revolution promises unprecedented access to programming content across hundreds of channels. Early indications are that this leads to a new information overload problem for DTV viewers and although the current generation of electronic program guides provides viewers with on-screen access to schedule information, their usefulness is compromised by the sheer volume of information that exists. Personalized guides that learn about the viewing habits of individual users have been proposed as a solution to this problem and in this paper we examine recent developments in this area of research and chart the progress of the PTV family of personalized online TV guides. Three different case-studies are examined as we look at how personalized guides can be deployed across a variety of devices and the implications this may have on their functionality and interface design.
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Smyth, B., Cotter, P. (2004). Case-Studies on the Evolution of the Personalized Electronic Program Guide. In: Personalized Digital Television. Human-Computer Interaction Series, vol 6. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2164-X_3
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DOI: https://doi.org/10.1007/1-4020-2164-X_3
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