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Social Signal Processing: Survey of an Emerging Domain
, 2008
"... The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next- ..."
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Cited by 153 (32 self)
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The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next-generation computing needs to include the essence of social intelligence – the ability to recognize human social signals and social behaviours like turn taking, politeness, and disagreement – in order to become more effective and more efficient. Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed arms, laughter, and similar, design and development of automated systems for Social Signal Processing (SSP) are rather difficult. This paper surveys the past efforts in solving these problems by a computer, it summarizes the relevant findings in social psychology, and it proposes a set of recommendations for enabling the development of the next generation of socially-aware computing.
Social Signal Processing: State-of-the-art and future perspectives of an emerging domain
- IN PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA
, 2008
"... The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next- ..."
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Cited by 27 (7 self)
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The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next-generation computing needs to include the essence of social intelligence – the ability to recognize human social signals and social behaviours like politeness, and disagreement – in order to become more effective and more efficient. Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed arms, laughter, and similar, design and development of automated systems for Social Signal Processing (SSP) are rather difficult. This paper surveys the past efforts in solving these problems by a computer, it summarizes the relevant findings in social psychology, and it proposes aset of recommendations for enabling the development of the next generation of socially-aware computing.
Social signals, their function, and automatic analysis: a survey
- In Proceedings of the International Conference on Multimodal interfaces
, 2008
"... ABSTRACT Social Signal Processing (SSP) aims at the analysis of social behaviour in both Human-Human and Human-Computer interactions. SSP revolves around automatic sensing and interpretation of social signals, complex aggregates of nonverbal behaviours through which individuals express their attitu ..."
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Cited by 14 (2 self)
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ABSTRACT Social Signal Processing (SSP) aims at the analysis of social behaviour in both Human-Human and Human-Computer interactions. SSP revolves around automatic sensing and interpretation of social signals, complex aggregates of nonverbal behaviours through which individuals express their attitudes towards other human (and virtual) participants in the current social context. As such, SSP integrates both engineering (speech analysis, computer vision, etc.) and human sciences (social psychology, anthropology, etc.) as it requires multimodal and multidisciplinary approaches. As of today, SSP is still in its early infancy, but the domain is quickly developing, and a growing number of works is appearing in the literature. This paper provides an introduction to nonverbal behaviour involved in social signals and a survey of the main results obtained so far in SSP. It also outlines possibilities and challenges that SSP is expected to face in the next years if it is to reach its full maturity.
Spectral analysis of candidates’ nonverbal vocal communication: Predicting us presidential election outcomes
- Social Psych. Quarterly
, 2002
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Say Not to Say: New Perspectives on Miscommunication
- International Journal of Humor Research
, 2002
"... theory of communication and miscommunication Luigi ANOLLI Abstract: Traditional psychology considers communication in terms of semantic and intentional transparency. This idea should be overcome, since the borderline between what is communicated and what is miscommunicated cannot be split up and par ..."
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theory of communication and miscommunication Luigi ANOLLI Abstract: Traditional psychology considers communication in terms of semantic and intentional transparency. This idea should be overcome, since the borderline between what is communicated and what is miscommunicated cannot be split up and partitioned in two separate and discrete domains. The starting point of this chapter is based on the assumption that a viable theory of communication has also to explain miscommunication in its different forms. In this perspective, communication sets up a unique and global category, including miscommunication phenomena, coming to the eventuality of not communicating. In particular, our aim is to outline some general principles that might connect communication and miscommunication processes to each other in a global, parsimonious and coherent theoretical perspective. This chapter intends to sketch out a miscommunication as a chance theory
Social Signal Processing: The Research Agenda
"... Abstract. The exploration of how we react to the world and interact with it and each other remains one of the greatest scientific challenges. Latest research trends in cognitive sciences argue that our common view of intelligence is too narrow, ignoring a crucial range of abilities that matter immen ..."
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Cited by 1 (0 self)
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Abstract. The exploration of how we react to the world and interact with it and each other remains one of the greatest scientific challenges. Latest research trends in cognitive sciences argue that our common view of intelligence is too narrow, ignoring a crucial range of abilities that matter immensely for how people do in life. This range of abilities is called social intelligence and includes the ability to express and recognise social signals produced during social interactions like agreement, politeness, empathy, friendliness, conflict, etc., coupled with the ability to manage them in order to get along well with others while winning their cooperation. Social Signal Processing (SSP) is the new research domain that aims at understanding and modelling social interactions (human-science goals), and at providing computers with similar abilities in human-computer interaction scenarios (technological goals). SSP is in its infancy, and the journey towards artificial social intelligence and socially-aware computing is still long. This research agenda is a twofold, a discussion about how the field is understood by people who are currently active in it and a discussion about issues that the researchers in this formative field face.
APPROVED: Toulouse School of Graduate Studies MEDIATED CHAMELEONS: AN INTEGRATION OF NONCONSCIOUS BEHAVIORAL MIMICRY AND THE PARALLEL PROCESS MODEL OF NONVERBAL
"... This study attempted to unite two divergent bodies of nonconscious behavioral mimicry research. Researchers have argued that mimicry is a direct perception-behavior link while other researchers have argued that contextual variables mediate nonconscious mimicry. In an effort to bridge the gap betwee ..."
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This study attempted to unite two divergent bodies of nonconscious behavioral mimicry research. Researchers have argued that mimicry is a direct perception-behavior link while other researchers have argued that contextual variables mediate nonconscious mimicry. In an effort to bridge the gap between disparate arguments, this study proposed the parallel process model of nonverbal communication as a framework to explain nonconscious behavioral mimicry. The social environment and cognitive-affective mediators sections of the process model were tested in a 2 (young adult vs. older adult) x 2 (simple task vs. complex task) experimental design. Participants engaged in a matching task with a confederate. Statistical analysis revealed that participants engaged in mimicry behavior during the experiment interaction task. Statistical analysis revealed no main effect for the age of the confederate and mimicry behavior, however, analysis revealed a main effect for task-complexity and mimicry behavior. The findings suggest that the cognitive resources of participants is a significant predictor of nonconscious behavioral Nonconscious behavioral mimicry researchers agree that mimicry serves an affiliative function Mimicry initiates a variety of positive feelings during interaction including increased liking Secondly, the application of the parallel process model to mimicry may clarify the theoretical debate among mimicry researchers. Traditionally, researchers from two disparate bodies of mimicry research argued to identify the mechanism that causes mimicry. I argue that both mimicry perspectives, mimicry as mediated and mimicry as a direct perception-behavior link, may fit into the parallel process model begin with an overarching research question to guide the project. RQ: How do nonconscious mimicry behaviors function within the framework of the parallel process model? Chapter 2 highlights relevant research to nonconscious behavioral mimicry and the parallel process model of communication. Chapter 3 establishes the method for the current study. Chapter 4 reports the results of the study. Lastly, Chapter 5 discusses the implications of the findings, provide conclusions, and suggestions for future research.
Microsoft Word - cabs115-bi.docx
"... ABSTRACT Behavioral accommodation, the adjustment of one's own behavior to match that of other people, is prevalent in human communication, but people differ in the extent to which they accommodate each other. This paper presents a laboratory study examining how cultural background affects beh ..."
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ABSTRACT Behavioral accommodation, the adjustment of one's own behavior to match that of other people, is prevalent in human communication, but people differ in the extent to which they accommodate each other. This paper presents a laboratory study examining how cultural background affects behavioral accommodation in awareness information gathering behaviors. Results suggested that members of collectivistic cultures (e.g., China) adjusted their behaviors to match those of their partners, when they were working with someone from other culture, whereas members of individualistic cultures (e.g.: the United States) did not accommodate when in the same situation. Our results suggest that accommodation exists even in online collaborations where no linguistic elements are involved, but this existence is affected by one's cultural background.
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, 2013
"... doi: 10.3389/fpsyg.2013.00600 Neural correlates of phonetic convergence and speech imitation ..."
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doi: 10.3389/fpsyg.2013.00600 Neural correlates of phonetic convergence and speech imitation
