
Marianne Davies
Guest with expertise in ecological approaches to perception, bringing examples from animals and applied perspectives and engaging in conceptual discussion of niches, affordances, and related literature.
Top 3 podcasts with Marianne Davies
Ranked by the Snipd community

5 snips
Sep 30, 2025 • 1h 12min
551 – Turvey, Lectures on Perception: An Ecological Perspective, Chapters 15 and 16 (JC53)
Andrew Wilson, a researcher in ecological psychology, and Marianne Davies, a keen critic of perception theories, delve into Turvey's unconventional perspective on Gestalt theory. They discuss the nuances of stimulus ambiguity and critique the tendency to ascribe perceptual order to neural processes rather than environmental information. The conversation explores the implications of Gibson's ideas on action and control, contrasts affordances with categorization, and examines the limitations of computational theories in understanding perception. A thought-provoking dissection of perception theory awaits!

Nov 11, 2025 • 1h
554– Turvey, Lectures on Perception: An Ecological Perspective, Chapters 20-21 (JC55)
Join researchers Andrew Wilson and Marianne Davies as they dive into ecological psychology and perception. Wilson critiques human exceptionalism in understanding animal behavior, while Davies discusses the nuances of habitat versus niche. They explore thermodynamics as a driver of life and agency, challenging traditional physics with ecological insights. The duo also tackles perceptual illusions and the complexities of reflected light, advocating for a deeper understanding of organism-environment interactions. Their discussion promises a radical shift in how we perceive perception!

Oct 14, 2025 • 1h 5min
552 – Turvey, Lectures on Perception: An Ecological Perspective, Chapters 17-19 (JC54)
Join cognitive scientist Andrew Wilson, who dives deep into perception and ecological theory, and researcher Marianne Davies, who connects these ideas to coaching and robotics. They explore why categorization often fails in understanding action and how optic flow offers better navigation cues than object recognition. The discussion reveals the limitations of symbolic AI, emphasizing embodied robotics. Furthermore, they challenge traditional views of language in perception, advocating for direct perception as a more viable approach.


