University of Minnesota

University of Southern California

Cogcubed Corporation

Teladoc, Inc.

Jaideep Srivastava

Kurt Roots

Monika Drummond Roots

Sanjana Srivastava

Amogh Mahapatra

Ravindra Kasturi

Nishith Pathak

Senthilkumar Krishnamoorthy

Nisheeth Srivastava

Dmitri Williams

Ayush Singhal

A computing device may determine, based at least in part on one or more semantic exemplars associated with a digital object, a level of incongruity for the digital object, and output an indication of the level of incongruity for the digital object. For instance, a system may provide a web application that can support hedonic web surfing. By modeling Internet users as active information foragers instead of random surfers, a system may obtain quantitative measures of digital objects that users may find psychologically stimulating. The system may utilize a quantitative measure of the conceptual incongruity of digital objects that may predict how interesting users will find an object.

Measuring semantic incongruity within text data

Computerized systems for automating content annotation (e.g., tag creation and/or expansion) for low-content items within a computer network by leveraging intelligence of other data sources within a network to generate secondary content (e.g., a 'context') for items (e.g., documents) for use in a tagging process. For example, based on user assigned tags for an item, secondary content information can be generated and used to determine a new list of candidate tags for the item. Additionally, the context of an input item may be compared against the respective contexts of a plurality of other items to determine respective levels of similarity between the input item and each of the plurality of other items in order to annotate the input item. Techniques involving web-distance based clustering and leveraging crowd-sourced information sources to remove noisy data from annotated results are also described.

Context-based metadata generation and automatic annotation of electronic media in a computer network

Path variables of a mallet cube until a hit in an interactive game involving cubes movable in three dimensions are indicative of both hyperactivity and inattention.

Vector space methods towards the assessment and improvement of neurological conditions

A method of diagnosing attention deficit hyperactivity disorder (ADHD). The method employs a tangible graphical interactive game wherein the interactive game employs a plurality of tangible graphical cubes. The game induces stimuli, measures responses and accumulates the responses using a predefined set of variables into a predefined set of metrics, wherein the variables are determined using an interactive machine learning feedback algorithm.

Predictive executive functioning models using interactive tangible-graphical interface devices

The social influence that each person in a computer network system exercises over others in the system may be valued by aggregating the differences in value of each of the others to the network both with and without the person being present. This calculated influence may be used as a basis for charging advertisers for advertisements to the users, as well as for providing preferential treatment to users that exert the greatest influence.

Estimating value of user's social influence on other users of computer network system

Growing community of inventors

Plymouth, MN, United States of America

Jaideep Srivastava