ResMem Validation
Below is our ongoing list of all successful (and unsuccessful) validations of ResMem, with a description of the databases it was used on. If you have tried ResMem out with an alternate stimulus set, please let us know by filling out the form at the bottom of the page!
Image Database Name |
Image Description |
Citation# = citation for image database+ = citation for ResMem validation |
Validation Values |
Successful Validation? (Yes/No) |
DELCODE Scene Set | Black & white indoor and outdoor scenes |
# Bainbridge, W. A., Berron, D., & Schütze, H. et al. (2019). Memorability of photographs in subjective cognitive decline and mild cognitive impairment: Implications for cognitive assessment. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 11(1), 610–618. https://doi.org/10.1016/j.dadm.2019.07.005+ ResMem Paper: link |
Spearman, Healthy controls: rho = 0.304, p = 2.82 E-19; Subjective Cognitive Decline: rho = 0.250, p = 2.63 E-13; Mild Cognitive Impairment: rho = 0.143, p = 4.03 E-5 |
Yes |
Mechano-humanness Stimulus Set (Mathur et al., 2020) | Robot face images |
+ Geiger, A.R., & Balas, B. (2021). Robot face memorability is affected by uncanny appearance. PsyArXiv: 10.31234/osf.io/fzgvu |
Spearman, rho = 0.042, p = 0.759 | No |
PASCAL Dataset Images | 849 color photographs of varied content (e.g., people, animals, landscapes, objects) in the real world |
# Dubey, R., Peterson, J., Khosla, A., Yang, M. H., & Ghanem, B. (2015). What makes an object memorable?. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1089-1097). https://ieeexplore.ieee.org/document/7410487+ ResMem Paper: link |
Spearman, rho = 0.361, p ~ 0 | Yes |
PASCAL Dataset Objects | The ~3412 objects segmented from the PASCAL images, against a gray background |
# Dubey, R., Peterson, J., Khosla, A., Yang, M. H., & Ghanem, B. (2015). What makes an object memorable?. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1089-1097). https://ieeexplore.ieee.org/document/7410487+ ResMem Paper: link |
Spearman, rho = 0.137, p = 8.34 E-14 | Yes |
Food Folio dataset | Overhead photographs of common food items on white plates on a black table |
# Lloyd, E. C., Shehzad, Z., Schebendach, J., Bakkour, A., Xue, A. M., Assaf, N. F., Jilani, R., Walsh, B. T., Steinglass, J., & Foerde, K. (2020). Food Folio by Columbia Center for Eating Disorders: A Freely Available Food Image Database. Frontiers in Psychology, 11, 3556. https://www.frontiersin.org/articles/10.3389/fpsyg.2020.585044/full+ Li, X., Bainbridge, W. A., & Bakkour, A. (2022, March 27). Memorable but not chosen: no effect of memorability on value-based decision. https://doi.org/10.31234/osf.io/xqhk8 |
Pearson, r = 0.24, p = 0.004 | Yes |
Object Dataset | Real-world objects with white background |
# Brady, T. F., Konkle, T., Alvarez, G. A., & Oliva, A. (2008). Visual long-term memory has a massive storage capacity for object details. Proceedings of the National Academy of Sciences, 105(38), 14325-14329. https://www.pnas.org/doi/full/10.1073/pnas.0803390105+ Zhao, C., Fukuda, K., Park, S., & Woodman, G. F. (2022). Even affective changes induced by the global health crisis are insufficient to perturb the hyper-stability of visual long-term memory. Cognitive Research: Principles and Implications, 7(1), 1-8. https://link.springer.com/article/10.1186/s41235-022-00417-2 |
Feb. 2021: r(199) = 0.24, p < 0.0006; Apr. 2021: r(199) = 0.17, p = 0.02; Jun. 2021: r(199) = 0.22, p = 0.002; Jul, 2021: r(199) = 0.16, p = 0.02; Aug. 2021: r(199) = 0.25, p < 0.0003 |
Yes |
Scene Continuous Performance Task | Square-cropped SUN database scene images with a sustained attention continuous performance task + surprise memory test |
+ Wakeland-Hart, C. D., Cao, S. A., deBettencourt, M. T.*, Bainbridge, W. A.*, & Rosenberg, M. D.* (2022). Predicting visual memory across images and within individuals. Cognition, 227, 105201. https://www.sciencedirect.com/science/article/pii/S0010027722001895?via%3Dihub |
Spearman, rho = 0.42, p = 5.4e-48 |
Yes |