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Summary
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This review explores automaticity, detailing how factors like goals and attention influence processing. It suggests representation quality, not just consciousness, determines processing levels, challenging prior coherence assumptions.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Neuroscience

Background:

  • Automaticity is often explained by features like control, consciousness, and efficiency.
  • Existing models may not fully capture the complexity of automatic processes.

Purpose of the Study:

  • To review componential, causal, and mechanistic explanations of automaticity.
  • To reframe automaticity features as factors influencing cognitive processes.
  • To propose an alternative model for automaticity based on representational quality.

Main Methods:

  • Literature review of componential, causal, and mechanistic explanations of automaticity.
  • Analysis of factors influencing cognitive processes, including goals, attention, and time.
  • Synthesis of evidence challenging coherence assumptions among cognitive factors.

Main Results:

  • Reframing automaticity features as influencing factors broadens the scope of analysis.
  • Evidence suggests factors like time, attention, and stimulus intensity influence representation quality additively.
  • Two thresholds of representation quality are proposed for unconscious and conscious processing.

Conclusions:

  • The coherence between goals, attention, and consciousness is not perfect.
  • Representation quality, influenced by multiple factors, is key to understanding automaticity.
  • Further research into causal and mechanistic explanations of automatization is warranted.