International Business Machines Corporation

Utkarsh Dwivedi

Kuntal Dey

Seema Nagar

Roman Vaculin

Karan Ahuja

Vijay A Kumar

Danish Contractor

Sreekanth L Kakaraparthy

Digital teaching content ordering includes receiving, by a data processing system, digital teaching content and any corresponding annotations and content heuristic(s) from a teacher or other presenter, the digital teaching content including text and/or image(s). The data processing system monitors student gaze of the digital teaching content during a class and can cognitively skip some of the digital teaching content during the class based on the monitored student gaze and content heuristic(s). The system can also cognitively modify the digital teaching content outside of class based, in part, on the monitoring and the content heuristic(s). A hypergraph of the digital teaching content may also be received, the cognitively skipping being further based on the hypergraph, and the cognitively modifying being further based on a heat map built using the hypergraph and the student gaze.

Dynamicaly updating digital visual content via aggregated feedback

A system and method utilizing a mass user gaze fixation behavior with respect to products and product racks (using a camera-based inputs and gaze-tracking algorithms) and a financial profitability of each product/product type; generates gaze-based heat maps for indicating blind spots and eye gaze points at different positions of the racks/shelves and indicating product placement positions on the heat map; and advises product placement in the retail store for optimizing financial profitability by performing an iterative refinement of product placements over a period for the product/similar products. The system translates mass eye gaze of retail store customers into financial profitability via product placement optimization, and iteratively runs a method to optimize product placements, and generate gaze-based heat maps and perform blind spot analysis for avoiding product placements at certain locations and placing products at other locations, e.g., by running a decision module on consumer gaze pattern data.

Product placement optimization using blind-spot analysis in retail environments

A humanness validation method, system, and computer program product, include generating a sequence of actions including gaze actions and emotional state actions, instructing an access requestor to perform the actions in the sequence one-by-one, and granting access to the access requestor if a total error rate of each of the performed one-by-one actions in the sequence of actions is less than a predefined threshold value.

System, method and computer program product for stateful instruction-based dynamic man-machine interactions for humanness validation

Techniques are provided for creating presentation notes based upon gaze tracking information associated with observers of a presentation. In one example, a computer-implemented method comprises: obtaining, by a system operatively coupled to a processor, gaze information associated with observers of a presentation; determining, by the system, respective content clarity scores for content elements of the presentation based on a content clarity function; selecting, by the system, respective content from one or more content sources for the content elements based on the respective content clarity scores; and generating, by the system, presentation notes based on the presentation and the selected respective content for the content elements of the presentation.

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New Delhi, India

Utkarsh Dwivedi