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Selection of big screen display content based on surrounding media Disclosure Number: IPCOM000238515D
Publication Date: 2014-Sep-01
Document File: 2 page(s) / 69K

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The Prior Art Database


Targeting of display material at specific audiences based on user profiles accessed from surrounding mobile devices.

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Selection of big screen display content based on surrounding media

Large screens such as public information or advertising boards within cities display a generic group of information or adverts as determined beforehand. There is some functionality existing allowing facial recognition to determine whether the target audience is male or female, but this does not take into account the public's real requirements, interests or preferences. For example, a large group of passengers waiting for a delayed train will have to stand through information on other trains that few or none of them have an interest in. A large soccer crowd in a city centre would have presented generic advertisements despite the screen containing several regarding soccer-related products.

    The preferred embodiment enables the determination as to the interest of the surrounding crowd by analysing the data from surrounding mobile devices such as smart phones and devices. This means that surrounding people receive relevant information in a more timely manner, or are more likely to have interest in the screens, thereby increasing the attraction and time viewing the large screen.

    Large screens and advertising boards work best when the information they present can be targeted at the surrounding audience rather than at the public in general. For example, if the majority of people standing on a station platform are heading for a football match, then the most appropriate advertising would relate to football related products. Currently such screens either do not have a target audience, or aim at very broad categories based on facial recognition, which cannot establish the public's specific preferences.

    The preferred embodiment would gather data from surrounding mobile devices as to the preferences and interests of the public in the vicinity of the screen. This data can be drawn from two sources, a. Directly from the mobile devices themselves. This would have security implications and it is li...