Decho Corporation

Ioculi, Inc.

The Painted City Incorporated

Mozy, Inc.

John Bruce Forbes

Jonathan L Herlocker

Paul Maritz

Thomas G Dietterich

David Bajorins

Jonathan D Cowles

Felix Misch

Timothy S Jenks

Thomas G Dletterich

Technologies are generally described for optical image diversion to provide image capture and display from one or more directions using an image sensor. In some examples, an optical assembly may be used to receive light or other electromagnetic radiation from multiple (including opposing) directions and to provide light or other electromagnetic radiation to an image sensor or detector to capture images. The optical assembly may be centrally-aligned or offset. The optical assembly may be configured to allow collection of light or other electromagnetic radiation from two or more locations. An auto focus or stabilization element may be integrated into one or more optical paths inside an optical switching device. In other examples, a conical or spherical element may be employed to allow capture of panoramic/360 degree images or video. Elements may also be stacked. Furthermore, the optical assembly may be configured to split an optical beam to allow tiling or superimposition of images from different directions at the image sensor.

Image diversion to capture images on a portable electronic device

Methods, systems, and techniques for analyzing the level of engagement of viewers of shared digital displays and enhancing that engagement by dynamically modifying the content of the display and incorporating personalized content created by viewers are provided. One example embodiment is the Dynamic Content Analysis and Engagement System (DCAES), which enables the operator of the system to analyze engagement, generate metrics, manage owner and viewer generated content, and dynamically modify the content on the shared display to increase the engagement of the viewer. In one example embodiment, the DCAES comprises an attention sensor module, an analysis module, a content management module, and a display control module.

Dynamic content analysis and engagement system for shared displays

A method for automatically presenting digital content to a user of a computer computes task-related metadata from data which may include i) a most recent event record, ii) a most recent specification received from the user of a task being performed by the user, iii) an automatic prediction of the current task being executed by the user, iii) past event records and associated task identifiers stored in a database and/or iv) content in resources associated with a given task. The task-related metadata is communicated to a digital content service provider. Digital content relevant to the user based on the task-related metadata is then selected, sent to the computer, and presented to the user. Rules and filters control the metadata going out and the content coming in, allowing automatic adaptation based on the current task, characteristics of the content, and other factors.

Methods for delivering task-related digital content based on task-oriented user activity

Methods for using task-related information to enhance digital searching are provided. A task-oriented user activity system maintains task-related information about resources accessed by a user and current user task. This task-related information is used to enhance search queries to include task-related search criteria that improve relevance of search results. The task-related information can also be used to include task-related metadata in search engine index, e.g., by storing the metadata in the index or by storing it in resources which are subsequently indexed. Task-related information can also be used to enhance search results by filtering and ranking results to increase relevance with respect to a user's current task.

Methods for enhancing digital search query techniques based on task-oriented user activity

Methods for using task-related information to enhance digital searching are provided. A task-oriented user activity system maintains task-related information about resources accessed by a user and current user task. This task-related information is used to enhance search results by filtering and ranking results to increase relevance with respect to a user's current task. The task-related information can also be used to include task-related metadata in search engine index, e.g., by storing the metadata in the index or by storing it in resources which are subsequently indexed. Task-related information can also be used to enhance search results by enhancing search queries to include task-related search criteria.

Methods for enhancing digital search results based on task-oriented user activity

Methods for using task-related information to enhance digital searching are provided. A task-oriented user activity system maintains task-related information about resources accessed by a user and current user task. This task-related information is used to include task-related metadata in search engine index, e.g., by storing the metadata in the index or by storing it in resources which are subsequently indexed. Task-related information can also be used to enhance search results by filtering and ranking results to increase relevance with respect to a user's current task and/or to enhance search queries to include task-related search criteria.

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Seattle, WA, United States of America

John Bruce Forbes