Comparing Thompson’s Thatcher effect with faces and non-face objects Elyssa Twedt 1, David Sheinberg 2 & Isabel Gauthier 1 Vanderbilt University 1, Brown.

Slides:



Advertisements
Similar presentations
Chapter 5: Space and Form Form & Pattern Perception: Humans are second to none in processing visual form and pattern information. Our ability to see patterns.
Advertisements

Word Imagery Effects on Explicit and Implicit Memory Nicholas Bube, Drew Finke, Darcy Lemon, and Meaghan Topper.
Attentionally Dependent Bilateral Advantage on Numerosity Judgments Jenny Ewing & Nestor Matthews Department of Psychology, Denison University, Granville.
Facilitation in Recognizing Pairs of Words: Evidence of a Dependence between Retrieval Operations By David E. Meyer & Roger W. Schvaneveldt Presented by.
Psychology: A Modular Approach to Mind and Behavior, Tenth Edition, Dennis Coon Appendix Appendix: Behavioral Statistics.
The effects of participation in goal setting and goal rationales on goal commitment: An exploration of justice mediators 指導教授: Chen, Ming-Puu 報告者 : Chang,
Table of Contents Exit Appendix Behavioral Statistics.
Psychological studies of face recognition:
Experiment 2: MEG Study Materials and Methods: 11 right-handed subjects with 20:20 vision were run. 3 subjects’ data was discarded because of poor performance.
Participants seem to utilize predictive information to actively maintain both task sets when doing so aids performance. Decreased mixing and switch costs.
Visual Processing in Fingerprint Experts and Novices
Shared Perceptual Basis of Emotional Expression and Trustworthiness Impressions From Faces Nikolaas N. Oosterhof & Alexander Todorov Kira Bucca.
I. Face Perception II. Visual Imagery. Is Face Recognition Special? Arguments have been made for both functional and neuroanatomical specialization for.
Journal Club Alcohol and Health: Current Evidence July-August 2006.
Pattern Recognition Pattern - complex composition of sensory stimuli that the human observer may recognize as being a member of a class of objects Issue.
Visual Cognition II Object Perception. Theories of Object Recognition Template matching models Feature matching Models Recognition-by-components Configural.
Visual Expertise Is a General Skill Maki Sugimoto University of California, San Diego November 20, 2000.
Influence of Word Class Proportion on Cerebral Asymmetries for High and Low Imagery Words Christine Chiarello 1, Connie Shears 2, Stella Liu 3, and Natalie.
Categorization: Scenes & Objects (P) Lavanya Sharan March 16th, 2011.
ACKNOWLEDGMENTS REFERENCES -Are view-boundaries special – eliciting extrapolation? There are other boundaries within a view that have similar characteristics,
Forecasting global biodiversity threats associated with human population growth.
The changing face of face research Vicki Bruce School of Psychology Newcastle University.

Visual Processing in Fingerprint Experts and Novices Tom Busey Indiana University, Bloomington John Vanderkolk Indiana State Police, Fort Wayne Expertise.
Human perception and recognition of metric changes of part-based dynamic novel objects Quoc C. Vuong, Johannes Schultz, & Lewis Chuang Max Planck Institute.
Lecture 16 Dustin Lueker.  Charlie claims that the average commute of his coworkers is 15 miles. Stu believes it is greater than that so he decides to.
1 CS 391L: Machine Learning: Experimental Evaluation Raymond J. Mooney University of Texas at Austin.
Additional Statistical Investigations A paired t-test was performed to evaluate whether a perceptual learning process occurs between the initial baseline.
What is Psychology?. Psychology is… The science that studies behavior and the physiological and cognitive processes that underlie behavior It is empirical.
Reicher (1969): Word Superiority Effect Dr. Timothy Bender Psychology Department Missouri State University Springfield, MO
Introduction Processing of configurational information is often highly affected by inversion Previous research has focused on the perception of static.
1 Cross-language evidence for three factors in speech perception Sandra Anacleto uOttawa.
Expertise, Millisecond by Millisecond Tim Curran, University of Colorado Boulder 1.
Tables & Graphs. Outline 1. Tables as representations of data 2. Graphs * Definition * Components 3. Types of graph * Bar * Line * Frequency distribution.
Tables & Graphs Outline 1. Tables as representations of data 2. Graphs *Definition *Components 3. Types of graph *Bar *Line *Frequency distribution *Scattergram.
Outline 1. Tables as representations of data 2. Graphs * Definition * Components 3. Types of graph * Bar * Line * Frequency distribution * Scattergram.
EMPATH: A Neural Network that Categorizes Facial Expressions Matthew N. Dailey and Garrison W. Cottrell University of California, San Diego Curtis Padgett.
Too happy to careAlcohol, Affect and ERN amplitude Too happy to care: Alcohol, Affect and ERN amplitude Conclusions: Consistent with Ridderinkhof et al.
Adam Houston 1, Chris Westbury 1 & Morton Gernsbacher 2 1 Department of Psychology, University of Alberta, Canada, 2 Department of Psychology, University.
Making A Case Interviewing Witnesses. MAKING A CASE Interviewing Witnesses Interviewing Suspects Creating A Profile Recognising Faces.
An Eyetracking Analysis of the Effect of Prior Comparison on Analogical Mapping Catherine A. Clement, Eastern Kentucky University Carrie Harris, Tara Weatherholt,
Orienting Attention to Semantic Categories T Cristescu, JT Devlin, AC Nobre Dept. Experimental Psychology and FMRIB Centre, University of Oxford, Oxford,
PET Count  Word Frequency effects (coefficients) were reliably related to activation in both the striate and ITG for older adults only.  For older adults,
Effect of laterality-specific training on visual learning Jenna Kelly & Nestor Matthews Department of Psychology, Denison University, Granville OH
Basic Research Terms and Methods Goals of psychological research Measurement and description of behavior Understanding and prediction of behavior Application.
Making A Case Interviewing Witnesses. MAKING A CASE Interviewing Witnesses Interviewing Suspects Creating A Profile Recognising Faces.
Psychological studies of (normal) face recognition:
Processing Faces with Emotional Expressions: Negative Faces Cause Greater Stroop Interference for Young and Older Adults Gabrielle Osborne 1, Deborah Burke.
Ten participants made bimanual reaching movements with a movement time goal of 500 ms. The trajectories of the hands were recorded with an Optotrak with.
VISUAL WORD RECOGNITION. What is Word Recognition? Features, letters & word interactions Interactive Activation Model Lexical and Sublexical Approach.
Preserved face inversion effects in adults with autism spectrum disorder (ASD): an event related potential study Paula P. Tavares 1, Susana S. Mouga 1,2,
Results Introduction The present study focuses on adult attitudes toward children. Many examples of discrimination against children in Western societies.
Perception & Pattern Recognition 1 Perception Pattern Recognition Theories of Pattern Recognition Bottom-up vs. Top-Down Processing & Pattern Recognition.
Example trial sequences for visual perspective-taking task
The Relationship Between Instagram Photo Editing and Undergraduate College Women’s Body Dissatisfaction Madeline Wick, Cindy Miller-Perrin, & Jennifer.
New Data: Irrelevant Objects & Orientations Disrupt the
What made you respond face (or word)? Something in your brain made you decide face or word. Can we determine where this decision.
CLPS0020: Introduction to Cognitive Science
Journal of Vision. 2010;10(4):15. doi: / Figure Legend:
The involvement of visual and verbal representations in a quantitative and a qualitative visual change detection task. Laura Jenkins, and Dr Colin Hamilton.
Feature based vs. holistic processing
Word Imagery Effects on Explicit and Implicit Memory
Toward a Reliable Evaluation of Mixed-Initiative Systems
Visual Processing in Fingerprint Experts and Novices
Mark G. Baxter Involvement of Medial Temporal Lobe Structures in Memory and Perception.
Exploring the Scientific Method
Face Perception Neuron
The Normalization Model of Attention
Volume 50, Issue 1, Pages (April 2006)
Perception & Pattern Recognition
Presentation transcript:

Comparing Thompson’s Thatcher effect with faces and non-face objects Elyssa Twedt 1, David Sheinberg 2 & Isabel Gauthier 1 Vanderbilt University 1, Brown University 2 Poster Number # Introduction Method Results References Thompson’s Thatcher Illusion Locally inverted the eyes and mouth of a face to create a “Thatcherized” face We collected images from 12 categories: Faces: Adult, grimacing, baby, animal Objects/Scenes: Buildings, cars, close-up scenes, large scenes Letter-strings: HF/LF words, HF/LF non-words We chose categories that would help test the role of familiarity and bizarre expression in experiencing the Thatcher effect We created 2 levels of Thatcherized images by locally inverting 1 and 2 internal features (e.g., eyes and mouth) 180° We created non-words by transposing letters from actual words We quantified the Thatcher effect using sensitivity, comparing performance on upright and inverted trials (d’ upright - d’ inverted). Bartlett, J. C., & Searcy, J. (1993). Inversion and configuration of faces. Cognitive Psychology, 25, Boutsen, L., & Humphreys, G. W. (2003). The effect of inversion on the encoding of normal and “Thatcherized” faces. Quarterly Journal of Experimental Psychology Section A – Human Experimental Psychology, 56, Parks, T. E. (1983). Letter to the Editor. Perception, 12, 88. Thompson, P. (1980). Margaret Thatcher: A new illusion. Perception, 9, Valentine, T., & Bruce, V. (1985). What’s up? The Margaret Thatcher illusion revisited. Perception, 14, Global inversion makes local changes difficult to detect Upright Thatcherized face looks grotesque Same-Different Task Image pairs (always from the same identity and in the same orientation) presented sequentially both upright and inverted Trial Types: Same: Normal, Thatcherized 1, Thatcherized 2 Different: Normal vs. Thatcherized 1, Normal vs. Thatcherized 2 Sample trial: 750 ms 300 ms 750 ms 2250 ms Overall: Significant Thatcher effect for all categories relative to zero Largest Thatcher effect for HF and LF words Thatcher effect is not face specific or largest for adult faces Face Categories: If familiarity was a determining factor for the Thatcher effect, adult faces should show a larger Thatcher effect than animal faces, which was NOT the case. If perception of bizarreness were an important factor of the Thatcher effect, we would predict grimacing faces, already bizarre without Thatcherization, to show a smaller Thatcher effect - but adult and grimacing faces show similar Thatcher effects. Objects/Scenes: Smaller Thatcher effects than faces or letter-strings. Why? Upright and inverted d’ values suggest this is due to smaller inversion effect, rather than greater difficulty detecting changes. Letter-Strings: Main effect for word type and word frequency - Words showed larger Thatcher effects than non-words and LF letter-strings showed larger Thatcher effects than HF. Interestingly, although inverted words show no advantage over inverted non-words, we find a word frequency advantage for both types of inverted strings. Is the Thatcher effect face specific? Is the Thatcher effect stronger for adult faces? Stimuli ExamplesQuestion: What influences the Thatcher effect? Hypothesis 1: Perceived bizarreness influences size of Thatcher effect Method: Subjects rated images on bizarreness - Scale of 1 (normal) to 7 (very bizarre) Correlated ratings with size of Thatcher effect Hypothesis 2: Familiarity with an object at a given orientation Method: Defined orientation familiarity: Speed at which an observer can determine an object’s orientation Recorded RT and correlated with size of Thatcher effect Results: Insignificant correlation (r = ) Perhaps we need a better measure of object familiarity Our results suggest the TE is not exclusive to faces - it does not appear to uniquely depend on factors such as expertise or the bizarre appearance of the transformation. Faces and letter-strings showed larger TEs than objects/scenes, although all categories showed significant Thatcher effects. Subgroup differences may be explained by experience with faces and letters, which transfers broadly to similar objects. Conclusions Questions Empirical research limited to faces - many assume the effect is face specific Demonstration of TE in words (Parks, 1983): Correlation suggests that as an image appears more bizarre, the size of the Thatcher effect increases. However, correlations for face categories and objects/scenes are opposite - suggests that bizarreness is NOT a major predictor of the Thatcher effect Response Animal Car Close-up Scene HF Non-word + x x x X = N.S. N=21