These datasets and have been made publicly available by the lab. Please cite the corresponding publication when you uses any.
A collection of memorability scores, attribute rankings, and demographic information based on an experiment run with 10,168 natural face photographs that follow demographics of the 1990 US Census. It also includes a program to easily navigate the 10,000+ image dataset to create custom image sets based on memorability or several other attributes.
Citation: Bainbridge, W. A., Isola, P., & Oliva, A. (2013). The Intrinsic Memorability of Face Photographs. Journal of Experimental Psychology: General, 142(4), 1323-1334.
Anatomically defined medial temporal lobe (N=40) regions and functionally defined ventral visual stream regions (N=70).
Citation: Bainbridge, W. A., Dilks, D.D., & Oliva, A. (2017). Memorability: A stimulus-driven perceptual neural signature distinctive from memory. NeuroImage, 149, 141-152.
A tool that makes web-based memorability experiments for your stimulus set.
Citation: Bainbridge, W. A. (2016). The memorability of people: Intrinsic memorability across transformations of a person’s face. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication.
A set of MATLAB scripts that allows you to measure and compare stimulus sets, to ensure they are controlled for on various low-level visual properties, such as spatial frequency, color, and symmetry.
Citation: Bainbridge, W.A., & Oliva, A. (2015). A toolbox and sample object perception data for equalization of natural images. Data in Brief 5, 846-851.
A set of stimuli for interaction envelope experiments, controlled for physical size and several other object properties.
Citation: Bainbridge, W. A. & Oliva, A. (2015). Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. NeuroImage 122, 408-416. AND Bainbridge, W.A., & Oliva, A. (2015). A toolbox and sample object perception data for equalization of natural images. Data in Brief 5, 846-851.
A collection of 2,600+ drawings of scenes done from memory, perception, and category schemas, as well as Amazon Mechanical Turk scripts for scoring these drawings.
Citation: Bainbridge, W.A., Hall, E.H., & Baker, C.I. (in press). Highly diagnostic and detailed content of visual memory revealed during free recall of real-world scenes. Nature Communications.
A collection of sensor data from three different human-robot interaction studies, with multiple users, sensors, and behavioral and survey-based measures.
Citation: Bainbridge, W. A., Nozawa, S., Ueda, R., Okada, K., & Inaba, M. (2012). A methodological outline and utility assessment of sensor-based biosignal measurement in human-robot interaction. International Journal for Social Robotics, 4, 303-316.