Visual Word Recognition: Attention, Intention, Context, and Processing Dynamics.

The notion that some mental processes are "automatic" while others are "controlled" is a distinction that appears in virtually all cognition textbooks, as well as in thousands of papers and book chapters. Indeed, so entrenched is the automatic side of this distinction that various leading computatio...

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Publicado en:Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale Vol. 76; no. 1; pp. 57 - 75
Autor principal: Besner, Derek
Formato: Artículo
Publicado: Canadian Psychological Association Mar2022
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2022
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      pub: Canadian Psychological Association
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        au: Besner, Derek
        affil: Department of Psychology, University of Waterloo
      su:
        Computer simulation
        Cognition
        Attention
        Thought & thinking
        Word recognition
        Benchmarking (Management)
        Visual perception
        Intention
      sug:
        subj:
          Computer simulation
          Cognition
          Attention
          Thought & thinking
          Word recognition
          Benchmarking (Management)
          Visual perception
          Intention
      keyword:
        attention
        context
        intention
        processing dynamics
        visual word identification
        contexte
        dynamique de traitement
        reconnaissance visuelle des mots
        attention
        context
        intention
        processing dynamics
        visual word identification
        contexte
        dynamique de traitement
        reconnaissance visuelle des mots
      ab: The notion that some mental processes are "automatic" while others are "controlled" is a distinction that appears in virtually all cognition textbooks, as well as in thousands of papers and book chapters. Indeed, so entrenched is the automatic side of this distinction that various leading computational accounts make no mention of it, but instead assume it implicitly. These models, and the field more generally, assume that processing is stimulus triggered and does not need any form of attention or an intention as a preliminary. Further, the fundamental processing dynamics underlying such automatic processing is widely seen as consisting of interactive activation and autonomous in that it unfolds in the same way across contexts. I review a number of findings from my lab that lead me to a different conclusion. Visual word recognition requires a consideration and integrated understanding of automaticity, attention, intention, context, and cognitive processing. I present various findings that challenge the preeminent role ascribed to interactive activation as implemented in the dominant computational models. I conclude that, going forward, the time is due for computational models of visual word recognition (and researchers in the field more generally) to acknowledge that the findings reported here constitute benchmarks that constrain theory and present opportunities for making meaningful advances in our understanding of visual word recognition (and perhaps of cognition more generally). A few proposals for how we might think about some of these processes are offered.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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