1996
DOI: 10.1027/1015-5759.12.2.112
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Hidden Real-Time Patterns in Intra- and Inter-Individual Behavior: Description and Detection

Abstract: It is widely believed that human interaction is much more regular than has yet been detected. What kinds of hidden regularities exist is, however, unsettled. In this paper a structural hypothesis is proposed where each continuous human interaction is seen as the performance of a set of a particular type of temporal patterns. Some of these repeated intra- and inter-individual real-time behavior patterns may be mutually exclusive in time while others may overlap in various ways. Perceptual limitations making suc… Show more

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Cited by 171 publications
(186 citation statements)
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“…As developed by Magnusson (1996Magnusson ( , 2000, THEME provides a statistical method of detecting temporal patterns (T-patterns) of related behavioral events that may not be obvious to a trained observer or identifiable by traditional sequential methods. The pattern detection algorithm first identifies significant (non-random) recurrences of any two events within a similar temporal configuration (critical interval) in a real-time behavioral record and then proceeds to identify hierarchical relations with any other antecedent or subsequent events, both sequential and nonsequential in distribution.…”
Section: Introductionmentioning
confidence: 99%
“…As developed by Magnusson (1996Magnusson ( , 2000, THEME provides a statistical method of detecting temporal patterns (T-patterns) of related behavioral events that may not be obvious to a trained observer or identifiable by traditional sequential methods. The pattern detection algorithm first identifies significant (non-random) recurrences of any two events within a similar temporal configuration (critical interval) in a real-time behavioral record and then proceeds to identify hierarchical relations with any other antecedent or subsequent events, both sequential and nonsequential in distribution.…”
Section: Introductionmentioning
confidence: 99%
“…A complete explanation of the theoretical roots of the pattern-detection algorithms together with an overview of the wider use of the process has been presented elsewhere [4,5].…”
Section: T-pattern Detection and Analysismentioning
confidence: 99%
“…Given that observational records of human behaviour, including sport performance analysis, have both a temporal and sequential structure an analysis tool that can describe this structure will enhance understanding of the behaviour (s) being studied. A generic observational software package called Theme has been specifically developed to operationalise T-pattern detection as an analysis process [4][5][6].…”
Section: T-pattern Detection and Analysismentioning
confidence: 99%
“…In the early 90s, the T-pattern diagram has been created and implemented as an integral part of Theme. It shows, at-a-glance, all the point series and hierarchical connections between their points involved in a T-pattern (Magnusson, 1996(Magnusson, , 2000. Further developments in T-pattern analysis resulted in two papers on children's dyadic problem solving (Beaudichon et al, 1991;Magnusson and Beaudichon, 1997) and a series of doctoral theses (Bensalah, 1992;Tardif, 1996a;Sigurdsson, 1997;Sevre-Rousseau, 1999;Schwab, 2000) with related publications all implicating T-pattern analysis (Tardif, 1996b;Tardif and Plumet, 2000;Plumet and Tardif, 2005).…”
Section: Validity Of the Modelmentioning
confidence: 97%