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Method of Dynamic Touch Screen Management Based on Biomatrics

IP.com Disclosure Number: IPCOM000239486D
Publication Date: 2014-Nov-12
Document File: 8 page(s) / 258K

Publishing Venue

The IP.com Prior Art Database

Abstract

After explosive growth in the mobile application industry, one of trends on mobile design is that device dimensions have wide range to choose for fitting different user groups and computing purposes. In past a few years, for instance, lots of mobile vendors provide multiple dimensions on tablet (6.5"~11.5") and cellphone (4.0"~6.5"). Such heterogeneous sizes give customer more choices for using them in different areas and purpose, but the different sizes also cause another issues under same touch screen "desktop" management. In a touch screen device, user may added more and more applications and more home screens. It is hard to find an specific application icon from multiple home screens, and users have to slide the multiple screens until to find a right app. In addition, it is not easy to touch certain areas on the large touch screen due to the limitation of hand size and finger length.

Some biometric study reports indicate that size-difference on human hands is significant on different ethnics and genders. Those biometric differences directly impact user experiences to manage and use touch screen on variant screen sizes:

Performance on Application Allocation: it is hard to find a right application icons from multiple screens. Operation (touch and hand writing) precision: Precision of swipe, tap, and drag operations is not accurate when a user use single hand to operate a mobile device on touch screens.

Therefore, it is necessary to define a new application icon arrangement method which can automatically learn user touch screen operation pattern, calculate hot area and hot applications, and then render those hot application icons on the hot area.

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Method of Dynamic Touch Screen Management Based on Biomatrics

The core idea of our mechanism is to provide a method to arrange the application icons based on human biology

          manus characteristic, people always hold a mobile phone in a particular way and touch their phone's screens with different ways. The statistic data shows that 49% users selected 'one handed' touching way, 36% selected 'cradled' and 15% selected 'two handed' touching way to touch the screen. With different touching way, some areas on a screen will be easy to be touched and some areas will require a stretch or require user to shift the way in which they're holding a device. Our mechanism will automatically identify different areas and arrange the icons based on a user defined rules, the rules can be 'the frequency of application usage', 'time info' or 'geography info', but not limited to the sample rules.

The advantages:

1. Easy to find the application icons.
2. Easy to reach the application icons.
3. Enhance the usage of an application.

As user touch their phone's screens with different ways, In Figure 1, the diagram shows user touch their phone's screens with three different ways, and it can set some pre-defined areas on the screen based on different types of reach usages.

In Figures 2-4, the diagrams that appear on the mobile phones' screens are approximate reach charts, in which the colors indicate what areas a user can reach with the finger or thumb to interact with the screen. Green indicates the area a user can reach easily; yellow, an area that requires a stretch; and red, an area that requires users to shift the way in which they're holding a device. Of course, these areas are only approximate and vary for different individuals,

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as well as according to the specific way in which a user is holding a phone and the phone's size.

The method will also set a daemon agent to collect usage and habit of the single user in the beginning, include the 'hot area' of screen and 'frequency' of the applications, the daemon agent will record the data fo...