28 found
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  1.  47
    Neurocognitive poetics: methods and models for investigating the neuronal and cognitive-affective bases of literature reception.Arthur M. Jacobs - 2015 - Frontiers in Human Neuroscience 9.
  2.  9
    Orthographic processing in visual word recognition: A multiple read-out model.Jonathan Grainger & Arthur M. Jacobs - 1996 - Psychological Review 103 (3):518-565.
  3.  45
    10 years of BAWLing into affective and aesthetic processes in reading: what are the echoes?Arthur M. Jacobs, Melissa L.-H. Võ, Benny B. Briesemeister, Markus Conrad, Markus J. Hofmann, Lars Kuchinke, Jana Lã¼Dtke & Mario Braun - 2015 - Frontiers in Psychology 6.
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  4.  31
    What makes a metaphor literary? Answers from two computational studies.Arthur M. Jacobs & Annette Kinder - 2018 - Metaphor and Symbol 33 (2):85-100.
    ABSTRACTIn this article we investigate structural differences between “literary” metaphors created by renowned poets and “nonliterary” ones imagined by non-professional authors from Katz et al.’s 1988 corpus. We provide data from quantitative narrative analyses of the altogether 464 metaphors on over 70 variables, including surface features like metaphor length, phonological features like sonority score, or syntactic-semantic features like sentence similarity. In a first computational study using machine learning tools we show that Katz et al.’s literary metaphors can be successfully discriminated (...)
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  5.  16
    “The Brain Is the Prisoner of Thought”: A Machine-Learning Assisted Quantitative Narrative Analysis of Literary Metaphors for Use in Neurocognitive Poetics.Arthur M. Jacobs & Annette Kinder - 2017 - Metaphor and Symbol 32 (3):139-160.
    Two main goals of the emerging field of neurocognitive poetics are the use of more natural and ecologically valid stimuli, tasks and contexts and providing methods and models allowing to quantify distinctive features of verbal materials used in such tasks and contexts and their effects on readers responses. A natural key element of poetic language, metaphor, still is understudied insofar as relatively little empirical research looked at literary or poetic metaphors. An exception is Katz et al.’s corpus of 204 literary (...)
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  6.  14
    The emotion potential of simple sentences: additive or interactive effects of nouns and adjectives?Jana Lüdtke & Arthur M. Jacobs - 2015 - Frontiers in Psychology 6.
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  7.  24
    Rhetorical features facilitate prosodic processing while handicapping ease of semantic comprehension.Winfried Menninghaus, Isabel C. Bohrn, Christine A. Knoop, Sonja A. Kotz, Wolff Schlotz & Arthur M. Jacobs - 2015 - Cognition 143 (C):48-60.
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  8.  4
    On the Relation between the General Affective Meaning and the Basic Sublexical, Lexical, and Inter-lexical Features of Poetic Texts—A Case Study Using 57 Poems of H. M. Enzensberger.Susann Ullrich, Arash Aryani, Maria Kraxenberger, Arthur M. Jacobs & Markus Conrad - 2017 - Frontiers in Psychology 7.
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  9.  16
    Simple Co‐Occurrence Statistics Reproducibly Predict Association Ratings.Markus J. Hofmann, Chris Biemann, Chris Westbury, Mariam Murusidze, Markus Conrad & Arthur M. Jacobs - 2018 - Cognitive Science 42 (7):2287-2312.
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  10.  14
    Quantifying the Beauty of Words: A Neurocognitive Poetics Perspective.Arthur M. Jacobs - 2017 - Frontiers in Human Neuroscience 11.
  11.  7
    From Abstract Symbols to Emotional (In-)Sights: An Eye Tracking Study on the Effects of Emotional Vignettes and Pictures.Franziska Usée, Arthur M. Jacobs & Jana Lüdtke - 2020 - Frontiers in Psychology 11.
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  12.  27
    Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex.Evgeniya Kirlilna, Na Yu, Alexander Jelzow, Heidrun Wabnitz, Arthur M. Jacobs & Ilias Tachtsidis - 2013 - Frontiers in Human Neuroscience 7.
  13.  22
    Second Language Use Facilitates Implicit Emotion Regulation via Content Labeling.Carmen Morawetz, Yulia Oganian, Ulrike Schlickeiser, Arthur M. Jacobs & Hauke R. Heekeren - 2017 - Frontiers in Psychology 8.
  14.  6
    Sentiment Analysis of Children and Youth Literature: Is There a Pollyanna Effect?Arthur M. Jacobs, Berenike Herrmann, Gerhard Lauer, Jana Lüdtke & Sascha Schroeder - 2020 - Frontiers in Psychology 11.
    If the words of natural human language possess a universal positivity bias, as assumed by Boucher and Osgood’s (1969) famous Pollyanna hypothesis and computationally confirmed for large text corpora in several languages (Dodds et al., 2015), then children and youth literature (CYL) should also show a Pollyanna effect. Here we tested this prediction applying a vector space model- based sentiment analysis tool called SentiArt (Jacobs, 2019) to two CYL corpora, one in English (372 books) and one in German (500 books). (...)
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  15.  16
    Graphemes are perceptual reading units.Arnaud Rey, Johannes C. Ziegler & Arthur M. Jacobs - 2000 - Cognition 75 (1):B1-B12.
  16.  10
    What Is the Difference? Rereading Shakespeare’s Sonnets —An Eye Tracking Study.Shuwei Xue, Arthur M. Jacobs & Jana Lüdtke - 2020 - Frontiers in Psychology 11.
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  17.  22
    Slower Perception Followed by Faster Lexical Decision in Longer Words: A Diffusion Model Analysis.Yulia Oganian, Eva Froehlich, Ulrike Schlickeiser, Markus J. Hofmann, Hauke R. Heekeren & Arthur M. Jacobs - 2015 - Frontiers in Psychology 6.
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  18.  14
    The SLS-Berlin: Validation of a German Computer-Based Screening Test to Measure Reading Proficiency in Early and Late Adulthood.Jana Lüdtke, Eva Froehlich, Arthur M. Jacobs & Florian Hutzler - 2019 - Frontiers in Psychology 10.
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  19.  18
    Mind mappers and cognitive modelers: Toward cross-fertilization.Arthur M. Jacobs & Thomas H. Carr - 1995 - Behavioral and Brain Sciences 18 (2):362-363.
    It is argued that current neuroimaging studies can provide useful constraints for the construction of models of cognition, and that these studies should be guided by cognitive models. A numberof challenges for a successful cross-fertilization between “mind mappers” and cognitive modelers are discussed in the light of current research on word recognition.
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  20.  34
    Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition.Eva Froehlich, Johanna Liebig, Johannes C. Ziegler, Mario Braun, Ulman Lindenberger, Hauke R. Heekeren & Arthur M. Jacobs - 2016 - Frontiers in Psychology 7.
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  21.  20
    On computational theories and multilevel, multitask models of cognition: The case of word recognition.Arthur M. Jacobs - 1994 - Behavioral and Brain Sciences 17 (4):670-672.
  22.  21
    On words and their letters.Tatjana A. Nazir, J. Kevin O’Regan & Arthur M. Jacobs - 1991 - Bulletin of the Psychonomic Society 29 (2):171-174.
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  23.  78
    Comment on Walter’s “Social Cognitive Neuroscience of Empathy: Concepts, Circuits, and Genes”.Arthur M. Jacobs - 2012 - Emotion Review 4 (1):20-21.
    In his review, Walter (2012) links conceptual perspectives on empathy with crucial results of neurocognitive and genetic studies and presents a descriptive neurocognitive model that identifies neuronal key structures and links them with both cognitive and affective empathy via a high and a low road. After discussion of this model, the remainder of this comment deals more generally with the possibilities and limitations of current neurocognitive models, considering ways to develop process models allowing specific quantitative predictions.
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  24.  7
    Many neighbors are not silent. fMRI evidence for global lexical activity in visual word recognition.Mario Braun, Arthur M. Jacobs, Fabio Richlan, Stefan Hawelka, Florian Hutzler & Martin Kronbichler - 2015 - Frontiers in Human Neuroscience 9.
  25.  6
    Corrigendum: Quantifying the Beauty of Words: A Neurocognitive Poetics Perspective.Arthur M. Jacobs - 2018 - Frontiers in Human Neuroscience 12.
  26.  13
    Dondersian dreams in brain-mappers' minds, or, still no cross-fertilization between mind mappers and cognitive modelers?Arthur M. Jacobs & Frank Rösler - 1999 - Behavioral and Brain Sciences 22 (2):293-295.
  27.  12
    Has glenberg forgotten his nurse?Arthur M. Jacobs & Johannes C. Ziegler - 1997 - Behavioral and Brain Sciences 20 (1):26-27.
    Glenberg's conception of “meaning from and for action” is too narrow. For example, it provides no satisfactory account of the “logic of Elfland,” a metaphor used by Chesterton to refer to meaning acquired by being told something. All that we call spirit and art and ecstasy only means that for one awful instant we remember that we forget. G. K. Chesterton.
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  28.  25
    Modeling a theory without a model theory, or, computational modeling “after feyerabend”.Arthur M. Jacobs & Jonathan Grainger - 1999 - Behavioral and Brain Sciences 22 (1):46-47.
    Levelt et al. attempt to “model their theory” with WEAVER ++. Modeling theories requires a model theory. The time is ripe for a methodology for building, testing, and evaluating computational models. We propose a tentative, five-step framework for tackling this problem, within which we discuss the potential strengths and weaknesses of Levelt et al.'s modeling approach.
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