Subject Speech Rates as a Function of Interviewer Behaviour

Webb, James T.

doi:10.1177/002383096901200105

Cited by 73 publications

(49 citation statements)

References 7 publications

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“…However, what remains unclear is what would be represented in such a dynamic generative model, and at what level predictions are made. Based on behavioral research, others have proposed that for a hierarchical system like language, interlocutors align at many different representational levels (Garrod and Pickering, 2009;Pickering and Garrod, 2004), ranging from very low-level acoustic features such as speech rate (Webb, 1969) or accent (Giles and Powesland, 1975), to higher linguistic levels such as the lexical (Brennan and Clark, 1996) and syntactic (Branigan et al, 2000) levels, all with the ultimate goal to align extra-linguistic levels such as the representation of the situation under discussion (i.e. situation model).…”

Section: Between-brain Neural Coupling As a Measure Of Speaker-listenmentioning

confidence: 99%

What can we learn from a two-brain approach to verbal interaction?

Schoot

Hagoort

Segaert

2016

Neuroscience & Biobehavioral Reviews

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a b s t r a c tVerbal interaction is one of the most frequent social interactions humans encounter on a daily basis. In the current paper, we zoom in on what the multi-brain approach has contributed, and can contribute in the future, to our understanding of the neural mechanisms supporting verbal interaction. Indeed, since verbal interaction can only exist between individuals, it seems intuitive to focus analyses on interindividual neural markers, i.e. between-brain neural coupling. To date, however, there is a severe lack of theoretically-driven, testable hypotheses about what between-brain neural coupling actually reflects. In this paper, we develop a testable hypothesis in which between-pair variation in between-brain neural coupling is of key importance. Based on theoretical frameworks and empirical data, we argue that the level of between-brain neural coupling reflects speaker-listener alignment at different levels of linguistic and extra-linguistic representation. We discuss the possibility that between-brain neural coupling could inform us about the highest level of inter-speaker alignment: mutual understanding.

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Section: Between-brain Neural Coupling As a Measure Of Speaker-listenmentioning

confidence: 99%

What can we learn from a two-brain approach to verbal interaction?

Schoot

Hagoort

Segaert

2016

Neuroscience & Biobehavioral Reviews

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“…Within mimicry research, researchers distinguished between the mimicry of a wide range of different behaviors such as facial expressions (Bourgeois & Hess, 2008;Dimberg, 1982). characteristics of language (Cappella & Planalp, 1981;Giles & Powesland, 1975;Webb, 1969Webb, , 1972. postures (LaFrance, 1982).…”

Section: Mimicry and Automatic Imitationmentioning

confidence: 99%

The influence of group membership on cross-contextual imitation

Genschow

Schindler

2015

Psychon Bull Rev

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Research on mimicry has demonstrated that individuals imitate in-group members more strongly than outgroup members. In the present study, we tested whether such top-down modulation also applies for more extreme forms of direct mapping, such as for cross-contextual imitation settings, in which individuals imitate others' movements without sharing a common goal or context. Models on self-other control suggest that top-down modulations are based merely on a direct link between social sensory processing and imitation. That is, perceived similarities between oneself and another person is sufficient to amplify a shared representation between own and others' actions, which then trigger imitation. However, motivational accounts explain such findings with the assumption that individuals are motivated to affiliate with others. Because imitation is linked to positive social consequences, individuals should imitate in-group members more strongly than out-group members. We tested these two theoretical accounts against each other by applying a crosscontextual imitation paradigm. The results demonstrate that in-group members are more strongly cross-contextually imitated than out-group members the higher individuals' motivation to affiliate with the in-group is. This supports motivational models but not self-other control accounts. Further theoretical implications are discussed.

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“…One natural extension is distributional matching-the idea that behaviors may match at the level of statistical, ensemble characterizations, rather than the level of particular behavioral acts. For instance, mean speech rates may converge during conversations (Webb, 1969), or two inter locutors may converge in their proportions of slang expressions, without directly matching each other slang for slang.…”

mentioning

confidence: 99%

Complexity matching in dyadic conversation.

Abney¹,

Paxton²,

Dale³

et al. 2014

Journal of Experimental Psychology: General

158

201

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Recent studies of dyadic interaction have examined phenomena of synchronization, entrainment, alignment, and convergence. All these forms of behavioral matching have been hypothesized to play a supportive role in establishing coordination and common ground between interlocutors. In the present study, evidence is found for a new kind of coordination termed complexity matching. Temporal dynamics in conversational speech signals were analyzed through time series of acoustic onset events. Timing in periods of acoustic energy was found to exhibit behavioral matching that reflects complementary timing in turn-taking. In addition, acoustic onset times were found to exhibit power law clustering across a range of timescales, and these power law functions were found to exhibit complexity matching that is distinct from behavioral matching. Complexity matching is discussed in terms of interactive alignment and other theoretical principles that lead to new hypotheses about information exchange in dyadic conversation and interaction in general.

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Subject Speech Rates as a Function of Interviewer Behaviour

Cited by 73 publications

References 7 publications

What can we learn from a two-brain approach to verbal interaction?

What can we learn from a two-brain approach to verbal interaction?

The influence of group membership on cross-contextual imitation

Complexity matching in dyadic conversation.

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