Personality inference from voice quality: The loud voice of extroversion

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.

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“…Externalization of stable traits or transient states, can be motor expression or physical appearance (Brunswik, 1956;Scherer, 1978) …”

Section: Distal Cuesmentioning

confidence: 99%

Social Signal Processing: The Research Agenda

Pantić

Cowie

D’Errico

et al. 2011

Visual Analysis of Humans

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“…The cognitive inference rules resulting from studies of this kind can be validated by predicting the outcome of actual attribution processes on the basis of the input to the inference system. In this fashion, Scherer (1972Scherer ( , 1976 has been able to predict personality attributions based on samples of voice quality by using independently assessed voice-personality inference rules.…”

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confidence: 99%

Cue utilization in emotion attribution from auditory stimuli

Scherer¹,

1977

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Although the vocal expression of emotion has received little attention in comparison with other modalities of human nonverbal communication, there is evidence from both encoding and decoding studies that there are a number of voice and speech cues which reliably characterize the vocal expression of particular emotional states (cf. review by Scherer, in press) and that human observers are able to infer the emotional state of a speaker with a fair degree of accuracy on the basis of such vocal cues (cf. Kramer, 1963;Davitz, 1964;Scherer, 1970). In Brunswikian terms, both the ecological validity of certain acoustic cues and the functional validity of observers' attributions of emotional states based on such cues (Brunswik, 1956) seem to be established.

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“…Research in social psychology was also inspired by Brunswik's Lens Model of the visual perception process (Brunswik 1956;Hammond 1966) for the study of interpersonal perception (Gifford 1994;Scherer 1978) and emotional communication (Juslin and Laukka 2003;Kappas 1997;Scherer 1986). The Brunswikian approach of social perception posits that stable traits or transient states are externalized in the form of distal cues, the perception of which is represented as proximal percepts by receivers.…”

Section: The Production and Perception Of Social Signals And Cuesmentioning

confidence: 99%

“…The Brunswikian approach of social perception posits that stable traits or transient states are externalized in the form of distal cues, the perception of which is represented as proximal percepts by receivers. The attribution of a trait or state then results from an inference process reflecting a psychological interpretation of the proximal percepts (Scherer 1978). In a recent attempt to achieve a more comprehensive view of emotional communication, Scherer (2011) proposed the dynamic Tripartite Emotional Expression and Perception Model (TEEP, Fig.…”

Section: The Production and Perception Of Social Signals And Cuesmentioning

confidence: 99%

“…Interpersonal attitudes and personality characteristics have also been widely studied in relation to nonverbal behaviour (Argyle and Dean 1965;Burgoon and Poire 1999;Sadler et al 2009;Scherer 1978;Tusing and Dillard 2000). In this context, several authors have argued that nonverbal behaviour expresses two major dimensions that regulate interpersonal relationships: affiliation and dominance (Kiesler 1983;Mehrabian and Ksionzky 1972;Wiggins et al 1988).…”

Section: The Production and Perception Of Social Signals And Cuesmentioning

confidence: 99%

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A psycho-ethological approach to social signal processing

Méhu

Scherer

2012

Cogn Process

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The emerging field of social signal processing can benefit from a theoretical framework to guide future research activities. The present article aims at drawing attention to two areas of research that devoted considerable efforts to the understanding of social behaviour: ethology and social psychology. With a long tradition in the study of animal signals, ethology and evolutionary biology have developed theoretical concepts to account for the functional significance of signalling. For example, the consideration of divergent selective pressures responsible for the evolution of signalling and social cognition emphasized the importance of two classes of indicators: informative cues and communicative signals. Social psychology, on the other hand, investigates emotional expression and interpersonal relationships, with a focus on the mechanisms underlying the production and interpretation of social signals and cues. Based on the theoretical considerations developed in these two fields, we propose a model that integrates the processing of perceivable individual features (social signals and cues) with contextual information, and we suggest that output of computer-based processing systems should be derived in terms of functional significance rather than in terms of absolute conceptual meaning.

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Personality inference from voice quality: The loud voice of extroversion

Abstract: Investigated the process of personality inference from voice quality using 24

Cited by 269 publications

References 16 publications

Social Signal Processing: The Research Agenda

Social Signal Processing: The Research Agenda

Cue utilization in emotion attribution from auditory stimuli

A psycho-ethological approach to social signal processing

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