Enhancing Casual TV Viewing

When you turn on the TV during the day time there is not often anything you can find that you want to watch. The common behaviour carried out is the browsing of

Research Insight

According to our research, millennials watch an average of 15-24 hours of TV a week compared with the baby boomers who watch between 0-4hours. Despite this, for both the millenials and baby boomers, casual viewing is the most popular method of TV viewing with 81.5% and 72.7% engaging in this respectively.

Concept

To enhance casual TV viewing, Live TV recommendations are given to users based on information collected via a content-based filtering method when users view or record programmes.

Scenario

As per his routine, Steve makes his breakfast and sits down to watch some day time TV; he is confronted with his common problem. Despite there being a multitude of channels, when scanning the TV guide Steve cannot see anything he is inclined to watch. This would usually mean that he settles on a TV programme that is mundane and uninteresting to him just to pass the time. However, Steve remembers that the latest MySky implementation on his Sky box makes live TV recommendations based on programmes that he has recently watched and recorded. MySky suggests several programmes that it thinks will interests him, which results in Steve discovering that there is an episode of CSI: Miami that he has not seen yet on a channel he does not usually view. Consequently, Steve experiences a longer TV viewing time and he leaves to carry out his day on a happier note.

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