WO2023199256A3 - Affective response modulation in embodied agents - Google Patents

Affective response modulation in embodied agents Download PDF

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Publication number
WO2023199256A3
WO2023199256A3 PCT/IB2023/053784 IB2023053784W WO2023199256A3 WO 2023199256 A3 WO2023199256 A3 WO 2023199256A3 IB 2023053784 W IB2023053784 W IB 2023053784W WO 2023199256 A3 WO2023199256 A3 WO 2023199256A3
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WO
WIPO (PCT)
Prior art keywords
response
empathetic
emotions
verbal
affective response
Prior art date
Application number
PCT/IB2023/053784
Other languages
French (fr)
Other versions
WO2023199256A2 (en
Inventor
Felix MARCON SWADEL
Mark Sagar
Tim Wu
Hazel WATSON-SMITH
Original Assignee
Soul Machines Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Soul Machines Limited filed Critical Soul Machines Limited
Publication of WO2023199256A2 publication Critical patent/WO2023199256A2/en
Publication of WO2023199256A3 publication Critical patent/WO2023199256A3/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00Animation
    • G06T13/203D [Three Dimensional] animation
    • G06T13/403D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/63Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Processing Or Creating Images (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

An affective response system for autonomous agents creates a configurable mapping from perceived emotions from stimuli to appropriate response emotions as part of an empathetic autonomously animated system. The capacity to configure the empathetic response allows for the easy and intuitive creation of different styles of response to convey desired personality traits and tailor the emotional performance to specific use-cases. The parameters that describe the empathetic response can be modified dynamically to simulate mood swings or changes in the state of mind. The input emotions can come from any emotion classification system including but not limited to an NLP system or facial emotional analysis system. The outputs can be used to drive verbal or non-verbal behaviors.
PCT/IB2023/053784 2022-04-13 2023-04-13 Affective response modulation in embodied agents WO2023199256A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
NZ78727222 2022-04-13
NZ787272 2022-04-13

Publications (2)

Publication Number Publication Date
WO2023199256A2 WO2023199256A2 (en) 2023-10-19
WO2023199256A3 true WO2023199256A3 (en) 2023-12-07

Family

ID=88329121

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2023/053784 WO2023199256A2 (en) 2022-04-13 2023-04-13 Affective response modulation in embodied agents

Country Status (1)

Country Link
WO (1) WO2023199256A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20130091364A (en) * 2011-12-26 2013-08-19 한국생산기술연구원 Apparatus and method for generating emotion of robot
JP5729692B2 (en) * 2011-02-28 2015-06-03 国立大学法人信州大学 Robot equipment
US20190321985A1 (en) * 2018-04-18 2019-10-24 Korea Institute Of Industrial Technology Method for learning and embodying human facial expression by robot
US20200090392A1 (en) * 2018-09-19 2020-03-19 XRSpace CO., LTD. Method of Facial Expression Generation with Data Fusion
US20200349752A1 (en) * 2013-08-02 2020-11-05 Soul Machines Limited System for neurobehaviorual animation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5729692B2 (en) * 2011-02-28 2015-06-03 国立大学法人信州大学 Robot equipment
KR20130091364A (en) * 2011-12-26 2013-08-19 한국생산기술연구원 Apparatus and method for generating emotion of robot
US20200349752A1 (en) * 2013-08-02 2020-11-05 Soul Machines Limited System for neurobehaviorual animation
US20190321985A1 (en) * 2018-04-18 2019-10-24 Korea Institute Of Industrial Technology Method for learning and embodying human facial expression by robot
US20200090392A1 (en) * 2018-09-19 2020-03-19 XRSpace CO., LTD. Method of Facial Expression Generation with Data Fusion

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Publication number Publication date
WO2023199256A2 (en) 2023-10-19

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