BARNARD COLLEGE

NEW YORK, NY, 10027

Unclaimed

Subcontracting experience

9 records from government sources. Past participation is not evidence of current teaming interest.

Role	Agency	Description	Vehicle	Obligated	Action date	Period
Subcontractor	Department of Defense	"TASK 1 - SOCIOCULTURAL NORM DISCOVERY FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 - CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 - COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2'S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTY'S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION." GG017183-05/G18098 Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$45,972	Nov 27, 2024	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$20,662	May 4, 2023	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$14,911	Jan 12, 2023	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$0	Dec 20, 2022	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$9,940	Sep 26, 2022	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$25,049	May 13, 2022	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$0	May 6, 2022	— – —
Subcontractor	Department of Defense	TASK 1 Ã¢Â‚¬Â€Œ SOCIOCULTURAL NORM DISCOVERY Ã¢Â‚¬Â¦FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 Ã¢Â‚¬Â€Œ CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 Ã¢Â‚¬Â€Œ COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2Ã¢Â‚¬Â„¢S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTYÃ¢Â‚¬Â„¢S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION. 5(GG017183-01) Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$19,682	Mar 18, 2022	— – —
Subcontractor	Department of Defense	"TASK 1 - SOCIOCULTURAL NORM DISCOVERY FOCUSED ON AUTOMATIC DISCOVERY OF THE KIND OF SOCIOCULTURAL NORMS THAT HUMANS ORDINARILY ACQUIRE TACIT KNOWLEDGE OF THROUGH A LIFETIME OF LEARNING AND INTERACTION. TO EMULATE THIS LEARNING CAPABILITY, RESEARCHERS WILL CREATE NEW TECHNOLOGIES ABLE TO DISCOVER AND CHARACTERIZE SOCIOCULTURAL NORMS OBSERVED IN UNLABELED DISCOURSE. PROF. LEACH IS WORKING WITH THE TEAM TO INTEGRATE LINGUISTIC, SOCIO-LINGUISTIC, SOCIOLOGICAL, AND ANTHROPOLOGICAL WORK ON CULTURAL VALUES AND NORMS AS WELL AS COMMUNICATION NORMS AND PRAGMATICS INTO AN OVERARCHING CONCEPTUAL FRAMEWORK CALLED THE POWER & BENEVOLENCE CIRCUMPLEX MODEL BASED IN HIS PRIOR THEORY AND RESEARCH (FOR A REVIEW, SEE LEACH, BILALI, & PAGLIARO, 2015). TASK 2 - CROSS-CULTURAL EMOTION RECOGNITION HUMAN INTERPRETERS CONTINUOUSLY MONITOR EMOTIONAL FEEDBACK FROM CONVERSATIONAL PARTICIPANTS (E.G., FROM FACIAL EXPRESSION, TONE OF VOICE, AND LANGUAGE), BUT CURRENTLY-EXISTING MULTIMODAL HUMAN LANGUAGE TECHNOLOGIES DESIGNED TO FULFILL A SIMILAR ROLE ARE OF LIMITED UTILITY IN MANY REAL-LIFE USE CASES, DUE TO THEIR HIGH DATA REQUIREMENTS AND INABILITY TO GENERALIZE ACROSS DIFFERENT LANGUAGES AND CULTURES. EMOTION RECOGNITION IS ALSO IMPORTANT TO MULTIMEDIA ANALYSIS IN THE CONTEXT OF PLANNING AND TRAINING. RESEARCHERS WILL AIM TO GENERALIZE EMOTION RECOGNITION ACROSS CULTURES BY IMPROVING THE PERFORMANCE OF CONTINUOUS, SEGMENT-LEVEL MULTIMODAL CROSS-CULTURAL EMOTION RECOGNITION TECHNOLOGIES, WITH THE AIM OF OVERCOMING THE SIGNIFICANT DEGRADATION OF PERFORMANCE EXHIBITED BY CURRENT SYSTEMS IN CROSS- CULTURAL SETTINGS. PROF. LEACH IS WORKING WITH THE TEAM TO GENERATE A STATE OF THE ART NATURAL LANGUAGE PROCESSING TECHNOLOGY TO RECOGNIZE EMOTION EXPERIENCE AND EXPRESSION ACROSS CULTURES. FOR THIS, HE IS REVIEWING THE RELEVANT SOCIAL-BEHAVIORAL SCIENCE LITERATURE AND ADAPTING THE MOST RECENT AND ADVANCED CIRCUMPLEX MODELS OF EMOTION TO INTEGRATE WITH HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL OF SOCIO-CULTURAL NORMS AND TO OPERATE MOST EFFECTIVELY CROSS-CULTURALLY. TASK 3 - COMMUNICATIVE CHANGE DETECTION HUMANS ARE NATURALLY ABLE TO PERCEIVE CRUCIAL SHIFTS IN NORMS AND EMOTIONS IN DISCOURSE,WHILE COMPUTERS ARE CURRENTLY MUCH LESS CAPABLE OF DETECTING THESE CHANGES. TASK 3 RESEARCH WILL BE FOCUSED ON ANALYZING TASK 1 AND TASK 2 OUTPUTS CONCERNING A FACE-TO-FACE INTERACTION OR A DOCUMENT FOR THE PURPOSE OF DETECTING CHANGES AT MULTIPLE TIMESCALES IN ORDER TO IDENTIFY IMPACTFUL SHIFTS (1) IN EMOTIONAL EXPRESSION; (2) IN THE EVOLUTION OF NORMS DURING AN INTERACTION (E.G., CHANGES IN FORMALITY, IN CULTURAL SETTING, IN REACTIONS TO PERCEIVED SOCIAL WARNINGS OF FAILURE POINTS TO SUPPORT TA2'S COMMUNICATION REMEDIATION. PROF. LEACH IS DEVELOPING A DYADIC VERSION OF HIS POWER & BENEVOLENCE CIRCUMPLEX MODEL THAT ACCOUNTS FOR TWO PARTY'S SOCIAL ORIENTATION TOWARD EACH OTHER. THIS WILL SERVE AS A CONCEPTUAL MODEL FOR AN ALGORITHM TO IDENTIFY INTERACTIONS THAT BEGIN AT A STATE, OR CHANGE TO A STATE, THAT IS COUNTER-PRODUCTIVE. HIS MODEL WILL ALSO IDENTIFY THE MOST EFFICIENT AND EFFECTIVE ADJUSTMENTS TO SOCIAL ORIENTATION TO ENABLE MORE PRODUCTIVE INTERACTION." GG017183-01/G16360 Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: NY Parent award description: COMPUTATIONAL CULTURAL UNDERSTANDING View parent award on USAspending	—	$19,682	Mar 18, 2022	— – —

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