Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system receives input defining or modifying a theme schema for classifying results of user experience tests. Responsive to receiving the input, the system trains a themer model based at least in part on example classifications in a training dataset, where the classifications map results to themes within the theme schema. When a new set of results for a user experience test is received, the trained machine learning model may generate a set of predicted themes to classify the test results. The output of the model may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system receives input defining or modifying a theme schema for classifying results of user experience tests. Responsive to receiving the input, the system trains a themer model based at least in part on example classifications in a training dataset, where the classifications map results to themes within the theme schema. When a new set of results for a user experience test is received, the trained machine learning model may generate a set of predicted themes to classify the test results. The output of the model may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: Techniques are described herein for selecting, curating, normalizing, enriching, and synthesizing the results of user experience (UX) tests. In some embodiments, a system identifies a set of expectation elements associated with one or more UX tests. An expectation element may specify, using unstructured data that does not conform to a schema, an expectation for a user experience and a respective outcome for the user experience. A themer model may generate predictions that map the respective expectation elements to a theme from a theme schema, which may include a plurality of themes. A selector model may generate selection scores for the expectation elements. The predicted themes and selection scores may be used to render user interfaces and/or trigger other actions directed to optimizing a product's design.

Abstract: Methods of web connected computer desktop multimedia widget applications provide users to author and host interactive multimedia content with processes and features to enhance intuitive, seamless user experience, and interactive functions without web browser.

Abstract: Methods of in-seat personal video display system integration for simpler and flexible installations consist of integrated personal video display hardware or interchangeable modular compartmented options with enhanced interactive features and functions to provide efficient and cost effective integrated in-seat personal video display systems.

Abstract: Methods of wireless network display systems powered by fuel cells. Fuel cell powered wireless network display systems consist of one or plurality of wireless networks and the respective plurality of wireless displays powered by fuel cells or micro fuel cells with replenish-able fuel sources.

Abstract: A wireless interactive entertainment and information display network systems capable in deliver digital content to a group or groups of wireless interactive display apparatus for playback in real-time or on-demand and methods for timely and efficiently streaming, uploading, or transferring digital content from external media sources over wireless links to the network of wireless interactive display apparatus. The system comprises wireless interactive entertainment and information display apparatus, wireless access modules, routers, system management panel, and external media interface panel.