International Business Machines Corporation

Richard D Johnson

Martin G Keen

Hernan A Cunico

Kimberly Greene Starks

Adam Smye-Rumsby

Paul A R Frank

John Michael Ganci, Jr

James Edward Bostick

Guang-Jong Jason Wei

Stefan Seemeyer

Bruce E Schmidt

Scott P Bennett

Hector R Dibenedetto

Arturo S Valencia Sil

Megan W Malvey

Jessica L Anacker

Paul Alexander Raphael Frank

Jocelyn H Chopskie

Gina F Danielson

Paul Alexander Frank

Lawrence A Grab

Eric D Morrison

David A Halsrud

Michel Lawrence

Altony Miralles

Embodiments for managing virtual reality (VR) sessions by one or more processors are described. A condition associated with a user experiencing a VR session is detected. A severity of the condition is determined. The determining of the severity of the condition is performed using a cognitive analysis of a detected situation associated with the condition that will affect the user, notwithstanding whether the detected situation is currently occurring within a vicinity of the user experiencing the VR session. If the severity is above a predetermined threshold, a signal representative thereof is generated.

Methods and systems for managing virtual reality sessions

A computer-implemented method for streaming multimedia data includes receiving a request to stream, by a first computing device, a first multimedia data file stored on a second computing device. The computer-implemented method further includes determining a first recommendation to skip viewing of a first logical segment included in the multimedia data file, wherein the first recommendation is based, at least in part, on analyzing a set of user insight information corresponding to a first classification associated with the first logical segment. The computer-implemented method further includes determining that a first confidence score associated with the first recommendation is below a predetermined threshold level. The computer-implemented method further includes providing, in response to determining that the first confidence score is below the predetermined threshold level, the first recommendation to a user while streaming the first multimedia data file via the first computing device.

Cognitively derived multimedia streaming preferences

Embodiments of the present invention provide a method, system and computer program product for cognitive user identification recommendation. In an embodiment of the invention, a method for cognitive user identification recommendation includes monitoring typing patterns of an end user as the end user enters data in different fields of different applications of a computing device having a device type and categorizing each of the fields and applications according to field type and application type. The method further includes generating a data structure mapping the user typing patterns to each type of field and application to model user input behavior of the end user. The method also includes transmitting the data structure to a requesting application for prompting the end user to provide a particular type of password mapped to the modeled user input and consistent with a field type of the password and a type of requesting application.

Cognitive user identification recommendation

Embodiments for implementing intelligent user identification by a processor. A temporary abstraction model may be created. One or more user specific verification queries may be generated according to the temporary abstraction model. A user identify may be asserted for accessing an application upon validating one or more user responses in relation to the one or more user specific verification queries.

Intelligent user identification

In an approach to narrating an email message based on the significance of the recipients on the message, identifying an email message; identifying recipients of the email message; identifying a client recipient from the recipients; selecting a first recipient from the recipients; identifying messages in an email repository; determining, from among the identified messages, a first count of messages; identifying an important recipient threshold, wherein the important recipient threshold represents a threshold count of messages; in response to determining the first count of messages exceeds the important recipient threshold, assigning a high importance recipient rating to the first recipient; creating a narration script; and in response to identifying the first recipient as having the high importance recipient rating, populating the narration script with a name of the first recipient such that the name of the first recipient will be read when the narration script is recited.

Selective email narration system

Embodiments for managing virtual reality (VR) sessions by one or more processors are described. A condition in a vicinity of a user experiencing a VR session is detected. A severity of the condition is determined. The determining of the severity of the condition is performed using a cognitive analysis. If the severity is above a predetermined threshold, a signal representative thereof is generated.

A method includes obtaining, by one or more processor, a request related to an entity, data related to a given user, external data related to the entity, and external data related to the given user, and a record related to the entity, wherein the record comprises operating hours for the entity. The one or more processor analyzes the external data related to the entity and determines if there is an inconsistency in the operating hours, which it corrects. The processor analyzes the external data related to the entity to generate a prediction for peak hours of the entity and analyzes one or more of: the external data related to the entity, the external data related to the given user, the operating hours, the corrected operating hours, or the peak hours, to generate a recommendation for an optimal time for the given user to visit the entity.

Predictive and corrective reporting of venue operating hours

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Raleigh, NC, United States of America

Richard D Johnson