BOUNDED-DEFERRAL POLICIES FOR GUIDING THE TIMING OF ALERTING, INTERACTION AND COMMUNICATIONS USING LOCAL SENSORY INFORMATION

Patent №

US 8,566,413

Granted

2013-10-22

Filed 2008

Owner

MICROSOFT CORPORATION

AI components

2

vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12259157

The present invention relates to a system and method to facilitate communications of important messages, communications, or interactions. Policies are introduced that consider a user's current situation, including the cost of interrupting the user, or directly sensed surrogates for such a cost, and decide on a suitable time, within a deadline for delivering the information or establishing a communication. Deadlines for delivery are determined based on the urgency of the information that is inferred or detected from the message sender, type, and content. If a suitable context is not detected within a deadline, the information is delivered at the deadline. If it is determined that a suitable context will not achieved within a deadline, the information is transmitted immediately. Suitable contexts for delivery can be determined via the use of one or more sensors on or near endpoint devices, including accelerometers, microphones, touch sensing, and gaze and head pose detection. Other information, including appointment status as indicated on a user's calendar, the time of day, and previously assessed patterns of availability can be employed in decisions about the deferral of alerts. Endpoint sensors, calendar information, and patterns of availability also may be used to identify the likelihood that information will be received at a device. Such information can be passed back directly or in a summary form as the likelihood of transmission success to a central notification manager or used locally in decisions about the salience and repetition of alerting.

VisionPlanningH04W 4/02G05B 19/404H04L 51/224H04L 51/56H04L 67/12H04L 67/306H04L 67/51H04L 67/52+11 more

AI classification

Planning0.97
Vision0.63
Machine learning0.25
Knowledge representation0.16
AI hardware0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 217450192

Assignors

HORVITZ, ERIC J.

On an employer assignment, the assignors are typically the inventors.

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