A visual object stimulus database with standardized similarity information

Although many visual stimulus databases exist, none has data on item similarity levels for multiple items of each kind of stimulus. We present such data for 50 sets of grayscale object photographs. Similarity measures between pictures in each set (e.g., 25 different buttons) were collected using a similarity-sorting method (Goldstone, Behavior Research Methods Instruments & Computers, 26(4):381–386, 1994). A validation experiment used data from 1 picture set and compared responses from standard pairwise measures. This showed close agreement. The similarity-sorting measures were then standardized across picture sets, using pairwise ratings. Finally, the standardized similarity distances were validated in a recognition memory experiment; false alarms increased when targets and foils were more similar. These data will facilitate memory and perception research that needs to make comparisons between stimuli with a range of known target–foil similarities.

[1]  R. O’Reilly,et al.  Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach. , 2003, Psychological review.

[2]  Ian G. Dobbins,et al.  Confidence–accuracy inversions in scene recognition: A remember–know analysis. , 1998 .

[3]  Joan Gay Snodgrass,et al.  Naming times for the Snodgrass and Vanderwart pictures , 1996 .

[4]  R. O’Reilly,et al.  Under what conditions is recognition spared relative to recall after selective hippocampal damage in humans? , 2002, Hippocampus.

[5]  Endel Tulving,et al.  Similarity relations in recognition , 1981 .

[6]  Johan Wagemans,et al.  Visual Object Categorisation at Distinct Levels of Abstraction: A New Stimulus Set , 2001, Perception.

[7]  M. Brodeur,et al.  The Bank of Standardized Stimuli (BOSS), a New Set of 480 Normative Photos of Objects to Be Used as Visual Stimuli in Cognitive Research , 2010, PloS one.

[8]  T A Busey,et al.  Accounts of blending, distinctiveness, and typicality in the false recognition of faces. , 1999, Journal of experimental psychology. Learning, memory, and cognition.

[9]  Karl R. Gegenfurtner,et al.  Conceptual and Visual Features Contribute to Visual Memory for Natural Images , 2012, PloS one.

[10]  R. Goldstone.  An efficient method for obtaining similarity data , 1994 .

[11]  J. G. Snodgrass,et al.  A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. , 1980, Journal of experimental psychology. Human learning and memory.

[12]  Ellen M. Migo,et al.  Please Scroll down for Article the Quarterly Journal of Experimental Psychology the Contribution of Familiarity to Recognition Memory Is a Function of Test Format When Using Similar Foils , 2022 .

[13]  Andrew W. Ellis,et al.  Age of Acquisition Norms for a Large Set of Object Names and Their Relation to Adult Estimates and Other Variables , 1997 .

[14]  L. Squire,et al.  Recognition memory and the hippocampus: A test of the hippocampal contribution to recollection and familiarity. , 2010, Learning & memory.

[15]  Trey Hedden,et al.  A cross-culturally standardized set of pictures for younger and older adults: American and Chinese norms for name agreement, concept agreement, and familiarity , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[16]  J. G. Snodgrass,et al.  Pragmatics of measuring recognition memory: applications to dementia and amnesia. , 1988, Journal of experimental psychology. General.

[17]  David Friedman,et al.  Developmental picture norms: Relationships between name agreement, familiarity, and visual complexity for child and adult ratings of two sets of line drawings , 1989 .

[18]  Manila Vannucci,et al.  A New Standardized Set of Ecological Pictures for Experimental and Clinical Research on Visual Object Processing , 2004, Cortex.

[19]  Ken A. Paller,et al.  An Electrophysiological Signature of Unconscious Recognition Memory , 2009, Nature Neuroscience.

[20]  Andy C. H. Lee,et al.  Behavioral / Systems / Cognitive Functional Specialization in the Human Medial Temporal Lobe , 2005 .