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El. knyga: Expertise of Perception: How Experience Changes the Way We See the World

(University of Victoria, British Columbia), (University of Toronto)
  • Formatas: EPUB+DRM
  • Serija: Elements in Perception
  • Išleidimo metai: 24-Mar-2022
  • Leidėjas: Cambridge University Press
  • Kalba: eng
  • ISBN-13: 9781108911252
  • Formatas: EPUB+DRM
  • Serija: Elements in Perception
  • Išleidimo metai: 24-Mar-2022
  • Leidėjas: Cambridge University Press
  • Kalba: eng
  • ISBN-13: 9781108911252

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Explores the interaction between perception and experience by studying perceptual experts, people who specialize in recognizing objects such as birds, automobiles, dogs. It proposes perceptual expertise promotes a downward shift in object recognition where experts recognize objects in their domain of expertise at a more specific level than novices.

How does experience change the way we perceive the world? This Element explores the interaction between perception and experience by studying perceptual experts, people who specialize in recognizing objects such as birds, automobiles, dogs. It proposes perceptual expertise promotes a downward shift in object recognition where experts recognize objects in their domain of expertise at a more specific level than novices. To support this claim, it examines the recognition abilities and brain mechanisms of real-world experts. It discusses the acquisition of expertise by tracing the cognitive and neural changes that occur as a novice becomes an expert through training and experience. Next, it looks “under the hood” of expertise and examines the perceptual features that experts bring to bear to facilitate their fast, accurate, and specific recognition. The final section considers the future of human expertise as deep learning models and artificial intelligence compete with human experts in medical diagnosis.

Daugiau informacijos

How do experts see the world? Are their minds and brains built differently than novices?
1 Introduction: How Experience Changes the Way We See the World
1(1)
2 The Basic Level Category As the Entry Point of Visual Recognition
1(4)
3 The Downward Shift Hypothesis
5(4)
4 Everyday, Developmental, and Neurodivergent Expertise
9(4)
5 Perceptual Expertise in the Laboratory
13(4)
6 Cognitive Mechanisms: Attention, Encoding, and Short-Term Memory
17(5)
7 Face Recognition and the Holistic Hypothesis
22(8)
8 Global and Local Processing
30(2)
9 Diagnostic Features: Color and Spatial Frequency
32(5)
10 Neural Substrates: EEGs and the N170 Component
37(10)
11 Convolutional Neural Networks: The New "Artificial" Expert
47(9)
12 Wrapping Up and Concluding Thoughts
56(3)
References 59