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Social signals: from theory to applications
Cognitive Processing
|August 16, 2012
Summary
Social Signal Processing merges computer and social sciences for understanding human communication. This interdisciplinary field emphasizes multimodality and a loop between theory, simulation, and application.
Area of Science:
- Interdisciplinary research at the intersection of computer science and social sciences.
- Emergence of Social Signal Processing (SSP) alongside Human-Computer Interaction, Affective Computing, and Embodied Conversational Agents.
- Focus on high interdisciplinarity, multimodality in communication, and a continuous theory-simulation-application loop.
Background:
- Identifies key cognitive and social frameworks for social signals: Theory of Mind, Intersubjectivity, mirror neurons, and communication's ontogenesis/phylogenesis.
- Establishes reference points for understanding the underlying mechanisms of social signals.
- Highlights the foundational theories guiding SSP research.
Discussion:
- Navigates theoretical and applicative studies within SSP.
- Examines three critical dichotomies: automatic vs. controlled processing, individualistic vs. intersubjective perspectives, and meaning vs. influence in communication.
- Provides a framework for analyzing diverse research within the field.
Key Insights:
- Social Signal Processing is a highly interdisciplinary field.
- Multimodality and the iterative process of theory, simulation, and application are central to SSP.
- Understanding social signals requires considering cognitive frameworks and communication dynamics.
Outlook:
- The field is poised for advancements in human-computer interaction and understanding social dynamics.
- Future research will likely leverage insights from cognitive science and neuroscience.
- Continued exploration of the interplay between individual cognition and intersubjective processes in communication.
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