Emotion in Cognition and Action:

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30 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

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WP7: Emotion in Cognition and Action

1

Emotion in Cognition and Action:

WP7 Exemplars

WP4 Workshop

Santorini
, September 18
-
21, 2004


Lola Ca
ñamero

University of Hertfordshire, UK

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WP7: Emotion in Cognition and Action

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The Task of WP7


WP7 task (Exemplar):


Shared understanding of mechanisms underlying the involvement of emotion in
cognition and action (decision making)


Comparative approaches to emotion
-
oriented agent architectures: assumptions,
guidelines, and integration challenges



Working groups within this task:


WG1: Emotion in “lower
-
lever” cognition and action


UH
, GERG, OFAI (KCL?)


WG2: Emotion in “higher
-
level” cognition and action


Uni. Bari
, France Telecom RD, QUB, EPFL, GERG


WG3: Bridging gap between “lower
-
” and “higher
-
level” cognition & action


OFAI
, USAL, INESC
-
ID, IST


WG4: Emotion in Social Cognition and Interaction


UH, Paris8
, DFKI, MIRALab, OFAI, DIST

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WP7: Emotion in Cognition and Action

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WG1: Emotion in “lower
-
level” C&A


“fast pathway”; Embodied AI approach (Perception
-
Action models)


Mechanisms underlying emotional modulation of cognition & action:


Neuromodulation of cognition and action (of basic robotic architectures)


Incremental approach
-
> increasing complexity and flexibility


Bottom
-
up approach
-
> how emotions “emerge”


Critical analysis from psychology, neuroscience, philosophy


Principled design of “emotivated” architecture for action selection


“Modulated” robot architecture (UH), analysis in terms of appraisal


Feedback from appraisal theory to add relevant elements; e.g. what triggers
“neuromodulations”? nature of stimuli, what is relevant, how to process them


Focus on perception
-
> from signals to signs of emotion in robots? (WP4)


Integration of paradigms (cybernetics, dynamical systems, ethology,
neuromodulation, appraisal)

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WG2: Emotion in “higher
-
level” C&A


“slow pathway”; Symbolic AI approach (cognitive BDI&E models)


Evaluation of cognitive models of emotion activation


BDI models of event
-
based emotions (OCC) that might be activated in a
decision
-
making process (e.g. car driving, Haptek agent player)


Evaluating them in terms of sensitivity to individual parameters and of
uncertainty in the probability of emotion activation in a given condition


Extension to ‘HCI emotions’ (anxiety, frustration, satisfaction, etc); + WP3


Recognition and interpretation of emotional states


Integrating recognition of emotion (recognition methods; WP4) + (cognitive
models for) interpretation of its causes


Recognize emotional state of users in natural language interaction (corpus of
‘natural’ dialogs collected through Wizard of Oz tool; WP5, WP9)


Build model of interlocutor to interpret their possible causes (incrementally)


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WP7: Emotion in Cognition and Action

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WG3: Bridging the gap


The gap:


Behavioral architectures (embodied agents):


Good for low
-
level, pre
-
attentive accounts of emotion, fast reactions


BUT reactive
-
> subject to problems of local decision
-
making


Symbolic AI architectures (rule
-
based systems):


Good for high
-
level appraisal
-
based accounts of emotion (planning, rich
expectations and action sequences into the future)


BUT problems with sensor
-

and environment
-
directed (multi
-
task) processing,
brittle and unreceptive to changes in the world


Task of WG: integrate both types of architectures using a model of affect


Proposed work: motivation
-
driven continuous planner (hybrid)
architecture, extension of TABASCO


NOT another hybrid, multi
-
layer architecture but
critical analysis of
integration challenges

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WP7: Emotion in Cognition and Action

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WG4: Social cognition and interaction

Two goals:


Critical understanding of (selected) key mechanisms and key issues to take into
account social aspects in emotion
-
oriented agent architectures


Guidelines for integration of emotion
-
oriented architecture (WP7) & expressive
behaviors (WP6)


Moods and appraisal in social interaction: DFKI


Appraisal
-
based model that generates both emotions and moods based on a
configurable, subjective appraisal component, in multiple animated
conversational characters


Compute social aspects for interpersonal relationships, longer lasting affective
state: overall mood (‘morale’ vector) of group, social integrity, ‘mood groups’


Emotion in social dynamics (agent
-
based simulations)


Mutual support role of emotions and social norms: OFAI


Emergence of groups with different dynamics and structure: UH


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WP7: Emotion in Cognition and Action

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WG4: Social cognition and interaction


Automatic and low
-
level mechanisms in social interaction
:


Perception
-
Action model to study the role of affect in imitation of movements,
emotional contagion (synchrony, mimicry) using robots: UH


Artistic framework: synchronization and coordination of movements in dance
(humans and robots): DIST


Social attention and memory
: Paris8


General environmental attention mechanism for early social interaction; e.g.
visual attention towards faces, other features (change, movement?) WP4


Memory: autobiographical, social


Generation of socially meaningful emotional behavior
: MIRALab


Standards for translating a cognitive process into body behavior


Definition of basic “units” that control body behavior


Take advantage of animation systems that result in realistic body animations


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Interaction with WP4


WP4 to WP7:


Signs of emotion in different modalities for different types of architectures and
platforms


WG1: signals to signs of emotions for robots (e.g. robotic “biosensors”)


WG2: emotion recognition methods for symbolic processing


WG3: signs of emotion for “fast” and “slow” processing simultaneously


WG4: focus on movement; faces?


WP7 to WP4:


Specifications on constraints imposed by different architectures and platforms
for the interpretation / processing of signs of emotion


Generalization of Markov analysis from ethology & dynamical systems theory
to data analysis (non
-
linearity problems); complementing it with information
theory => Rene

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WP7: Emotion in Cognition and Action

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Guidelines for exemplars


Informed by critical analysis of our existing models / systems / tools


Guided by analysis of needs (think ahead, goals, “visions”)


Exemplars / Exemplar: “modules” under common “umbrella”


Theoretical + pragmatic criteria, e.g. meaningful publications


Integration effort:


Within “modules”: across areas / problems / disciplines


Across “modules”: self
-
critical + think positive


Our scope, our limitations, what we intend to and can / cannot achieve


What others can do that I can’t, insights / know
-
how I could gain


What I could contribute to other “modules” and approaches


Links with other WPs

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WP7: Emotion in Cognition and Action

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What? Goals & Tasks of WP 7


Goals
:



Achieve shared understanding of basic issues and basic research topics


Set the grounds to advance the state of the art


Disseminate the achieved research results and conclusions



Tasks
:



Task 1: Integration of existing know
-
how


Task 2: Plans to advance the state of the art


Task 3: Dissemination of gained insight

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Integration effort?


Shed light towards development of sound computational models that:


Enhance behavior & interactions of emotion
-
oriented systems


Feed back to emotion theorists (synthetic approach)



Integrated effort (
≠ IP!!
), shared critical reflection about:


Key conceptual issues


Assumptions and dependencies


Open research problems


Key research and application scenarios


Critical analysis of existing approaches, systems and tools
-
>


Analysis of needs and directions for future research and applications


Evaluation methods, scenarios, tools


Recommendations for good practice, usability requirements


Potential for cross
-
fertilization among disciplines