AUGMENTING ARTIFICIAL INTELLIGENCE PROMPT DESIGN WITH EMOTIONAL CONTEXT

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Weiwei Yang of Seattle WA (US)

Kateryna Lytvynets of Redmond WA (US)

Prachi Manishkumar Patel of Redmond WA (US)

Amber Hoak of Silverdale WA (US)

Spencer Fowers of Duvall WA (US)

Christopher Patrick O'dowd of Seattle WA (US)

Andrea Britto Mattos Lima of Sao Paulo (BR)

Thiago Vallin Spina of Campinas (BR)

Hayden Helm of San Francisco CA (US)

AUGMENTING ARTIFICIAL INTELLIGENCE PROMPT DESIGN WITH EMOTIONAL CONTEXT

This abstract first appeared for US patent application 20240412029 titled 'AUGMENTING ARTIFICIAL INTELLIGENCE PROMPT DESIGN WITH EMOTIONAL CONTEXT

Original Abstract Submitted

in addition to an original prompt that is manually provided by a user, contextual information is sent to a generative ai to elicit a higher quality response. sensors collect audio, video, physiological, cognitive, environmental, and digital data from the user. machine-learning models evaluate the sensor data to infer the emotional state of the user. the emotional state is used to augment the original prompt with contextual information. the augmented prompt is fed into the generative ai to make it context-aware. accordingly, the generative ai can automatically pick up on non-verbal cues that the user did not manually articulate in the original prompt. just as a human-to-human conversation involves a combination of verbal and non-verbal communications, the present concepts enable the generative ai to also leverage non-verbal communication when interacting with human users.