10 found
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  1.  71
    Behavior Matching in Multimodal Communication is Synchronized.Max M. Louwerse, Rick Dale, Ellen G. Bard & Patrick Jeuniaux - 2012 - Cognitive Science 36 (8):1404-1426.
    A variety of theoretical frameworks predict the resemblance of behaviors between two people engaged in communication, in the form of coordination, mimicry, or alignment. However, little is known about the time course of the behavior matching, even though there is evidence that dyads synchronize oscillatory motions (e.g., postural sway). This study examined the temporal structure of nonoscillatory actions—language, facial, and gestural behaviors—produced during a route communication task. The focus was the temporal relationship between matching behaviors in the interlocutors (e.g., facial (...)
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  2. Symbol Interdependency in Symbolic and Embodied Cognition.Max M. Louwerse - 2011 - Topics in Cognitive Science 3 (2):273-302.
    Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to (...)
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  3.  81
    The Linguistic and Embodied Nature of Conceptual Processing.Max M. Louwerse & Patrick Jeuniaux - 2010 - Cognition 114 (1):96-104.
    Recent theories of cognition have argued that embodied experience is important for conceptual processing. Embodiment can be contrasted with linguistic factors such as the typical order in which words appear in language. Here, we report four experiments that investigated the conditions under which embodiment and linguistic factors determine performance. Participants made speeded judgments about whether pairs of words or pictures were semantically related or had an iconic relationship. The embodiment factor was operationalized as the degree to which stimulus pairs were (...)
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  4.  5
    Knowing the Meaning of a Word by the Linguistic and Perceptual Company It Keeps.Max M. Louwerse - 2018 - Topics in Cognitive Science 10 (3):573-589.
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  5.  21
    Language Encodes Geographical Information.Max M. Louwerse & Rolf A. Zwaan - 2009 - Cognitive Science 33 (1):51-73.
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  6.  21
    Effects of Ambiguous Gestures and Language on the Time Course of Reference Resolution.Max M. Louwerse & Adrian Bangerter - 2010 - Cognitive Science 34 (8):1517-1529.
    Two eye-tracking experiments investigated how and when pointing gestures and location descriptions affect target identification. The experiments investigated the effect of gestures and referring expressions on the time course of fixations to the target, using videos of human gestures and human voice, and animated gestures and synthesized speech. Ambiguous, yet informative pointing gestures elicited attention and facilitated target identification, akin to verbal location descriptions. Moreover, target identification was superior when both pointing gestures and verbal location descriptions were used. These findings (...)
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  7.  31
    Representing Spatial Structure Through Maps and Language: Lord of the Rings Encodes the Spatial Structure of Middle Earth.Max M. Louwerse & Nick Benesh - 2012 - Cognitive Science 36 (8):1556-1569.
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  8. How Fundamental is Embodiment to Language Comprehension? Constraints on Embodied Cognition.Max M. Louwerse & Patrick Jeuniaux - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1313--1318.
  9.  8
    The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences Between Verbal and Non‐Verbal Communication.Drew H. Abney, Rick Dale, Max M. Louwerse & Christopher T. Kello - 2018 - Cognitive Science 42 (4):1297-1316.
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  10.  21
    Archaeology Through Computational Linguistics: Inscription Statistics Predict Excavation Sites of Indus Valley Artifacts.Gabriel L. Recchia & Max M. Louwerse - 2016 - Cognitive Science 40 (8):2065-2080.
    Computational techniques comparing co-occurrences of city names in texts allow the relative longitudes and latitudes of cities to be estimated algorithmically. However, these techniques have not been applied to estimate the provenance of artifacts with unknown origins. Here, we estimate the geographic origin of artifacts from the Indus Valley Civilization, applying methods commonly used in cognitive science to the Indus script. We show that these methods can accurately predict the relative locations of archeological sites on the basis of artifacts of (...)
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