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Method for handheld device potential discovery Disclosure Number: IPCOM000009978D
Publication Date: 2002-Oct-02
Document File: 3 page(s) / 109K

Publishing Venue

The Prior Art Database


Disclosed is a method for handheld device potential discovery. Benefits include improved functionality.

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Method for handheld device potential discovery

Disclosed is a method for handheld device potential discovery. Benefits include improved functionality.


        � � � � � Advanced instrumentation capabilities have been in place on the personal computer (PC) for years, but this rich instrumentation feature has not appeared yet on wireless handheld devices. The application of device potential discovery provides improved “intelligence” to the handheld environment where the innovation cycle is shortening.

        � � � � � The adaptability of devices to software and peripherals is limited by the known off-the-shelf configuration of the devices. Factors include the operating system, the amount of memory, and processor speed.

        � � � � � For providers of services, the targeting of device owners and their preferences is limited to the use of a few conventional methods, including:

•        � � � � Warranty registration cards
•        � � � � Target or blanket advertising

•        � � � � Product reviews

•        � � � � Software bundling

        � � � � � These methods are inefficient at best and endure long delays between offerings and acceptance or purchase from consumers. Additionally, the data used to target offerings is very limited and incomplete, without containing any sort of real-time measurements of usage patterns, dynamic device configuration, or correlations to device owner spending habits.

General description

        � � � � � The disclosed method is the capability to dynamically discover, advertise, or add new capabilities, features, and uses for a handheld wireless client based on sophisticated instrumentation and intelligent agents. Device profile information is added to information gleaned by reported usage patterns and billing/purchase patterns. Device profile information includes application identification, and the time of day and length of operation. Billing/purchase patterns information includes level of credit, use of paid features, and purchase interests. This data is organized into a potential discovery matrix (PDM). The result is scores that are used by service or software providers to highly target services, applications, upgrades, or peripheral offers to the client.


        � � � � � The disclosed method provides advantages, including improved functionality due to the capability to gather information that was not previously available.

Detailed description

        � � � � � The disclosed method includes a local or remote monitoring process to collect platform data directly from an operation, administration, and management (OA&M) system on a handheld device (see Figure 1).

        � � �...