Search results for "Dyadic interaction"

showing 4 items of 4 documents

Analyzing multidimensional movement interaction with generalized cross-wavelet transform

2021

Humans are able to synchronize with musical events whilst coordinating their movements with others. Interpersonal entrainment phenomena, such as dance, involve multiple body parts and movement directions. Along with being multidimensional, dance movement interaction is plurifrequential, since it can occur at different frequencies simultaneously. Moreover, it is prone to nonstationarity, due to, for instance, displacements around the dance floor. Various methodological approaches have been adopted for the study of human entrainment, but only spectrogram-based techniques allow for an integral analysis thereof. This article proposes an alternative approach based upon the cross-wavelet transfor…

FOS: Computer and information sciencesDanceComputer sciencetanssiMovementBiophysicsmusiikkiWavelet AnalysisExperimental and Cognitive PsychologyTranslation (geometry)sosiaalinen vuorovaikutus050105 experimental psychologyEntrainmentMethodology (stat.ME)03 medical and health sciences0302 clinical medicinerytmitajuHumans0501 psychology and cognitive sciencesOrthopedics and Sports MedicineliikeanalyysiStatistics - MethodologyMovement (music)signaalinkäsittely05 social sciencesJoint actionGeneral MedicineliikeEntrainment (biomusicology)Time–frequency analysisDyadic interactionTime-frequency analysisDyadic interactionLeader-follower dynamicsSpectrogramsynkronointiAlgorithmRotation (mathematics)030217 neurology & neurosurgery
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Joint attention behaviour in remote collaborative problem solving : exploring different attentional levels in dyadic interaction

2021

AbstractThe current article describes an exploratory study that focussed on joint attention behaviour—the basis of interaction predicting productive collaboration—to better understand collaborative problem solving, particularly its social aspects during remote dyadic interaction. The study considered joint attention behaviour as a socio-linguistic phenomenon and relied on detailed qualitative interaction analysis on event-related measures of multiple observational data (i.e. log files, eye-tracking data). The aim was to illustrate and exemplify how the diverse attentional levels of joint attention behaviour (i.e. monitoring, common, mutual and shared attention) delineated by Siposova and Ca…

Joint attentionSocial PsychologyInteractionProcess-oriented researchExploratory researchContext (language use)Information technologysosiaalinen vuorovaikutus050105 experimental psychologyyhteistyöEducationLive eye trackingManagement of Technology and InnovationCommon knowledgeMedia Technologyetäosallistuminen0501 psychology and cognitive sciencesyhteisöllinen oppiminentarkkaavaisuus05 social sciencesCollaborative problem solvingEducational technology050301 educationCognitionJointnessT58.5-58.64Joint attention behaviourDyadic interactionkatseenseurantaongelmanratkaisuPsychology0503 educationCognitive psychology
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A BASIC MODEL OF INTERACTING SUBJECTS

1980

Abstract In studying the problem of interaction between subjects, an approach which allows us to define in an unambiguous way the concepts of symmetrical, complementary and parallel interaction is proposed. This approach makes use of a point of view within which it is possible to develop a rational model based only on some fundamental elements of set theory and mathematical logic The model allows us to develop a probabilistic theory of change, the representation basis of which is furnished by the 16 basic set functions. The functions represent operations on two partially overlapping sets, which will be called the “worlds”, of interacting subjects.. Both an interaction test that allows a “me…

Mathematical logicPure mathematicsTheoretical computer scienceBasis (linear algebra)Probabilistic logicMeasure (mathematics)Artificial IntelligenceSet functionDyadic interactionSet theoryRepresentation (mathematics)SoftwareInformation SystemsMathematicsCybernetics and Systems
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Joint Alignment and Modeling of Correlated Behavior Streams

2013

The Variable Time-Shift Hidden Markov Model (VTS- HMM) is proposed for learning and modeling pairs of cor- related streams. Unlike previous coupled models for time series, the VTS-HMM accounts for varying time shifts be- tween correlated events in pairs of streams having different properties. The VTS-HMM is learned on a set of pairs of unaligned streams and, thus, learning entails simultaneous estimation of the varying time shifts and of the parameters of the model. The formulation is demonstrated in the analysis of videos of dyadic social interactions between children and adults in the Multimodal Dyadic Behavior Dataset (MMDB). In dyadic social interactions, an agent starts an interaction …

Variable (computer science)Series (mathematics)Computer scienceMulti-agent systemSpeech recognitionDyadic interactionBehavior Modeling Autism Dyadic InteractionSTREAMSSet (psychology)Hidden Markov modelVisualization
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