7 results about "User studies" patented technology

The present disclosure is directed to systems and methods of providing systems and methods of autonomously generating summary documents based, at least in part, on a plurality of queries provided by a system user. The systems and methods disclosed herein include processor circuitry to identify a plurality of information sources for a specific topic guided by an ontology with specific concepts and relations. The systems and methods disclosed herein also include processor circuitry to generate user-focused extractive text summarization from each of at least some of the plurality of identified information sources using a plurality of queries supplied by the user / researcher.

The invention provides a library subject service intelligent recommendation method and system based on big data mining, and relates to the technical field of library services.The method comprises the steps that firstly, library subject service big data is mined, and subject user research process features covering subject user research stages, resource use tracks and demand evolution features are constructed; and establishing a dynamic adaptation relationship between the research process and the resources in combination with a library subject resource pool. And splitting resource service modules according to research process stages to form staged subject resource service architectures, and generating a staged subject service recommendation list after series connection. And collecting user research process data in real time, dynamically adjusting a recommendation list, supplementing transition resources and services, and forming dynamic subject service recommendation contents. And finally, outputting recommended content and collecting feedback data, and integrating big data to optimize research process characteristics and dynamic adaptation relationships. According to the invention, accurate, dynamic and systematic library subject service recommendation can be provided for the user, and the service quality and the user research efficiency are improved.

The invention discloses a petrochemical engineering HSE training method and system based on virtual reality, and relates to the technical field of petrochemical engineering safety training. The problems that in the prior art, interaction data are fixed, tasks cannot be adjusted in real time for different posts, the training effect is poor, and the efficiency is low are solved. Comprising the steps of S1, constructing a training virtual scene, S2, collecting feature information, S3, pushing a training scheme, S4, training users to interact in the virtual scene, S5, training users to complete training contents, S6, pushing sudden accident training users to quickly make decisions and operations, and S7, evaluating, examining and recording the operation accuracy and duration of training users, and pushing solutions and improvement suggestions S8, a virtual tutor diagnosis and question answering function assists the training user in learning; and S9, a report card and a trend chart are pushed to the training user. The petrochemical engineering HSE training method and system based on virtual reality are used for petrochemical engineering health, safety and environment practice operation skill training, and the training effect and efficiency of training users and the handling capacity of sudden accidents are improved.

A system and method for AI-mediated discovery, notification, and licensed access to copyrighted works during a research session. The system comprises: a content registry in which copyright holders register works and grant trusted read access to authorized AI tools; a trusted content ingestion module that reads the full text of registered works and generates internal representations including semantic embeddings, structural analysis, and portion-level summaries, and generates indexing information for the content registry; an AI research tool that draws on its comprehension of registered works to identify works relevant to a user's research query and present a non-disclosive notification describing relevance and pricing; a trust boundary enforced by technical and contractual controls preventing disclosure of protected content prior to authorized payment; a transaction processing layer that processes payment from the user to the copyright holder; and a content delivery module that delivers the authorized portion within the research session.

An approach is provided for generative artificial intelligence (GenAI)-enabled user research using synthetic personas. Data for user research for a product or service is collected. The data is included in categories of individual profile data for users, product feature data, company metadata, and historical data. The collected data is evaluated using a neural network. Scores for types of data in each category are determined based on the evaluated data. An overall fit score is determined by aggregating the scores. Based on the overall fit score, a recommendation of areas of focus is generated. The areas of focus are associated with the product or service and require an evaluation. One or more synthetic personas are generated based on the individual profile data. The evaluation of the areas of focus is performed by using the one or more synthetic personas.

A system is provided.SOLUTION: A system comprising: means for a user to input a research theme and purpose; means for a server to collect relevant AI from information sources using a generative data model; means for the server to analyze the information and extract information relevant to the user's research theme; means for the server to generate reports and presentation materials based on the extracted information; and means for the server to deliver the generated materials to the user and provide necessary feedback and corrections.SELECTED DRAWING: Figure 1

The invention discloses a knowledge graph-based research tourism personalized itinerary generation method. The method comprises the steps of S1, constructing a research knowledge graph; s2, setting an education target weight matrix, a time window modulation vector and a path coupling vector in the research knowledge graph; s3, an improved PairRE model is adopted to execute bidirectional vector transformation and element-level combination, and multi-relation vector representation is generated; s4, receiving research and study requirements of the user and generating a user preference vector and a constraint parameter; s5, on the basis of the multi-relation vector and the user preference, performing graph search in the graph structure in combination with traffic and time window constraints, and generating a research activity sequence set; s6, calling an improved PairRE scoring process for each activity sequence, and combining the three types of parameters to generate an itinerary scoring value; and S7, sorting the research activity sequence according to the stroke score values, and outputting a personalized research stroke. According to the invention, unified optimization of education objectives, time limitation and route feasibility is realized.