International Business Machines Corporation

Divya Mantha

Venkata Vara Prasad Karri

Saraswathi Sailaja Perumalla

Sarbajit Kumar Rakshit

Partho Ghosh

Kamal Kiran Trood Yamala

Sunita Rani Nayak

A system, program product, and method for automatic collection, generation, and presentation of real time information to vehicular occupants are presented. The method includes determining a first driver profile for a first driver of a first vehicle. The method also includes determining, subject to the first driver profile determination, a color assignment for the first driver. The color assignment is at least partially indicative of the driver profile and the color assignment is at least a portion of a representation of the first driver. The method further includes communicating the color assignment to one or more of one or more potential occupants of the first vehicle and one or more occupants of the first vehicle.

Automatic real time information to vehicular occupants

A set of touch history data can be received, wherein the set of touch history data indicates a set of unintended touch interactions mapped to contextual data in which each unintended touch interaction occurs. A set of touch sensitivity modification conditions can be determined based on an analysis of the set of touch history data, the set of touch sensitivity modification conditions specifying particular touch modifications to be made under particular conditions. A current touch interaction can be received from a device of a user. The current touch interaction can be analyzed to determine whether a touch sensitivity modification condition of the set of touch sensitivity modification conditions is met. In response to determining that the touch sensitivity modification condition is met, a touch sensitivity of the device of the user can be modified.

Touch sensitivity management

Provided are a computer program product, system, and method for dynamic determination of retention periods for digital content. Metadata is generated for instances of digital content including an access pattern of the digital content by a user of the computing device, attributes of the digital content, and a retention period during which the digital content stored is retained in the storage. A machine learning module is trained with input comprising the metadata for instances of the digital content to produce the retention period of the digital content. Input, comprising metadata determined from digital content, received after training the machine learning module, is provided to the machine learning module to produce an output retention period for the digital content received after the training. The output retention period is used to determine when to delete the digital received after the training content from the storage.

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Vizag, India

Divya Mantha