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Conjunction-guided selection in visual search Igor S. Utochkin The National Research University “Higher School of Economics”, Russia.

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Presentation on theme: "Conjunction-guided selection in visual search Igor S. Utochkin The National Research University “Higher School of Economics”, Russia."— Presentation transcript:

1 Conjunction-guided selection in visual search Igor S. Utochkin The National Research University “Higher School of Economics”, Russia

2 Guided Search (Wolfe, 1994, 1996; 2006): Features can be used to guide visual search What about conjunctions?

3 Experiments 1 and 2 Color × Orientation targets Set size: 7, 13, or 37 items Features and conjunctions distribution among distractors: Unknown (Exp. 1) vs. Known (Exp. 2) target 2 features, 1/1 2 conjunctions, 1/1 2 features, 1/2 3 conjunctions, 1/1/1 2 features, 1/2 2 conjunctions, 1/2

4 Experiments 1 and 2 Results

5 Experiments 3 and 4 Color × Orientation targets Set size: 7, 13, or 37 items Features and conjunctions distribution among distractors: Unknown (Exp. 3) vs. Known (Exp. 4) target NeutralCongruentIncongruent

6 Experiments 3 and 4 Results

7 A “tentative binding” hypothesis Approximate, imprecise but not accidental; Requires some global attentional processing prior to focusing on individuals;

8 I. Distributed attention binds features approximately (Treisman, 2006) II. Limited-capacity parallel binding (Luck & Vogel, 1997) of samples (Simons & Myszek, 2008)

9 A “tentative binding” hypothesis Approximate, imprecise but not accidental; Requires some global attentional processing prior to focusing on individuals; Primes subsequent allocation of focused attention

10 Thank you for attention! Acknowledgements: Yulia Stakina Anna Rakova The study was conducted within the Program for basic research of the Higher School of Economics in 2012


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