消费者移动应用和终端.pptVIP

Tactical Guideline: Test m-business offerings against market segmentation models. Tech savants and aspirers are likely to be early adopters. Strategic planning assumptions: There will be no high precision (better than 2M) indoor location technology widely deployed in mobile devices through 2014.By 2014 the top 5000 shopping malls and airports in Western Europe and North America will be mapped for mobile applications. By 2014 crowdsourced location will be used by several large cloud service providers. Key issue: How will user interfaces and experiences evolve through 2015 and beyond? Imaging is a way to collect contextual information as well as a way to display it. For example: Image search - using an image to indicate a place or object about which information is required has started to move from academic research into real applications. For example Nokias point find. Gesture recognition - gesture and motion recognition from video analysis is becoming mainstream, e.g. Microsofts new game controller technology. Face / expression recognition and other data collection - Its possible to use face recognition and image processing to make basic contextual deductions about individuals, for example their age or sex. Face recognition has been used for augmented reality tagging of individuals - for example TAT Recognizr. Barcode reading - any device with a camera can read barcodes for tasks such as in-store price comparison. Barcode formats such as QR can also provide a simple way for a mobile device to pick up a URL to link print marketing and mobile marketing. Mobile barcodes are however being adopted very slowly. Action item: Organisations with large transient customer populations should explore video analysis for smart contextual marketing. Tactical guideline: Mobile barcodes will remain a niche application through 2012 Key issue: How will user interfaces and experiences evolve through 2015 and beyond? Augmented reality (AR) is one of the most promising new us