Microsoft Technology Licensing, LLC

Maria Alexandropoulou

Emmanouil Koukoumidis

Ying Wang

Dustin Isaac Abramson

Qi Yao

Oussama Elachqar

Joseph Edwin Johnson, Jr

Di Li

Hailong Mu

Donald Frank Brinkman, Jr

Daniel Massey

Donald Brinkman

Scott A Schwarz

Hudong Wang

Konstantinos Aisopos

Kelli A Stuckart

Adam Edward Shirey

Sergei Tuterov

Joseph Edwin Johnson

Systems and methods for receiving various input data, processing said input data, and utilizing artificial emotional intelligence to analyze said input data to return calculated response stimuli are provided. Various electronic devices may be utilized to acquire input data related to a specific user, a group of users, or environments. This input data, which may comprise tone of voice, facial expressions, social media profiles, and surrounding environmental data, may be compared with past data related to a certain user, group of users, or environment. The systems and methods herein may employ artificial emotional intelligence to evaluate the aggregated data and provide a response stimulus to a user or group of users. The response stimulus may be in the form of uplifting/encouraging music, quotes, pictures, jokes, suggestions, etc. The purpose of providing the response stimuli is to significantly increase the productivity of meetings, conversations, and other interactions across electronic devices.

EQ-digital conversation assistant

A system provides emotionally and intellectually relevant responses to user queries received by a chatbot instantiated by a computing device. The system also receives user data associated with the user query. The user query is communicated to a first supervised machine learning model to obtain a first plurality of ranked responses. The system also communicates the received user data to a second supervised machine learning model to obtain a first plurality of emotions associated with the user data. The system then determines determine a second plurality of emotions for the first plurality of responses and re-ranks the first plurality of responses based on a comparison of the first plurality of emotions and the second plurality of emotions. The system then selects a response to the user query from the re-ranked responses and outputs the selected response using the chatbot instantiated by the computing device.

Emotional intelligence for a conversational chatbot

Representative embodiments disclose mechanisms for discovering, synthesizing, presenting and interacting with multiple chat bots. A broker system can interact with a user and receive a query which is passed to a search engine. The search results are evaluated for bots provided by domains. The query can be submitted to the discovered bots. For domains that do not provide a bot, a bot can be synthesized if desired and the query submitted to the synthesized bots. Answers from the bots are retrieved. Answer are directly presented for bots that are directly surfaced to the user in the search results page. Answers can be fused for bots that are not directly surfaced to the user and presented via a broker bot. Answers from the one bot can be fed to other bots so that the bots can participate in a group chat between bots and the user.

Conversation bot discovery and response fusion

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Kirkland, WA, United States of America

Maria Alexandropoulou