Microsoft Technology Licensing, LLC

Kelli A Stuckart

Emmanouil Koukoumidis

Ying Wang

Dustin Isaac Abramson

Hudong Wang

Joseph Edwin Johnson, Jr

Di Li

Hailong Mu

Donald Brinkman

Kati Amanda London

Zhan Chen

Steven G Zittrower

Pengfei Hao

Maria A Rangel

Donald Frank Brinkman, Jr

Qi Yao

Daniel Massey

Scott A Schwarz

Adam Edward Shirey

Maria Alexandropoulou

Sergei Tuterov

Aspects of the present disclosure provide systems and methods for detecting memorable events of a user, storing those memorable events in a user profile, and leveraging those events to the user. In so doing, memorable events with positive emotional weight may be recalled to encourage delightful experiences. Alternatively or additionally, memorable events with negative emotional weight may be recalled to increase user engagement for conversational systems.

Memorable event detection, recording, and exploitation

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

Systems and methods for personality consistent automated chatting are provided. The systems and methods track the emotional state of the chat bot, track entity related dispositions of the chat bot and/or track the closeness of the relationship between the chat bot and a user. Accordingly, the systems and methods are able to provide consistent personality and/or points of view by generating replies based on the tracked chat bot emotional state, chat bot entity dispositions, and/or the relationship closeness between the chat bot and the user.

Systems and methods for a personality consistent chat bot

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Seattle, WA, United States of America

Kelli A Stuckart