Salford Nature Environments Database

The task and materials included here were used in the development of a database of landscape images for use in cognitive restoration research.

A copy of the database with outcomes can be accessed from GitHub: https://github.com/Salford-PsyTech/Salford_Nature_Environments_Database

Further information on the data collection, processing, and analysis, can be found on the project OSF page: https://osf.io/sbqg8

Back to Open Materials

Consent

Built with Questionnaire Builder 2

Information sheet and consent form used for the study.

Creative Commons Attribution (CC BY)

Debrief

Built with Questionnaire Builder 2

Debrief information presented at the end of the study.

Creative Commons Attribution (CC BY)

Demographics

Built with Questionnaire Builder 2

Demographic questionnaire used for the study. Includes age, gender, ethnicity, nationality, country of birth, education level, and a MacArthur ladder for social class.

Creative Commons Attribution (CC BY)

Image Rating Experiment

Built with Experiment

Experiment combining all elements of the data collection.

Creative Commons Attribution (CC BY)

Image presentation - set 1

Built with Task Builder 2

Image presentation task.

Each version of the rating task includes 100 images from the database.

Each image was assigned pseudo-randomly to a set between 1 and 5, and one between 6 and 10. Images are therefore presented alongside different images in the different sets, whilst allowing for equal numbers of ratings to be collected for all images.

Presentation of the images is managed by a script that prevents images from the same category being presented more than 3 times in a row (though this can be altered in the spreadsheet randomisation settings).

Each image is presented on screen for 3 seconds, before 8 ratings are collected, using sliders, over 2 displays. Participants must interact with the ratings and select a continue button on these displays, in order to progress.

Participants provide ratings, on a scale of 1-9, for each image on; arousal, valence, approach/avoid, pleasantness, familiarity, mystery, interest, and prospect/refuge.

Design of this task was based on:

Dal Fabbro, D., Catissi, G., Borba, G., Lima, L., Hingst-Zaher, E., Rosa, J., Victor, E., Bernardes, L., Souza, T., & Leão, E. (2021). e-Nature Positive Emotions Photography Database (e-NatPOEM): affectively rated nature images promoting positive emotions. Scientific Reports, 11(1), 1–15. https://doi.org/10.1038/s41598-021-91013-9

Marchewka, A., Żurawski, Ł., Jednoróg, K., & Grabowska, A. (2014). The Nencki Affective Picture System (NAPS): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database. Behavior Research Methods, 46(2), 596–610. https://doi.org/10.3758/s13428-013-0379-1

Creative Commons Attribution (CC BY)

Based on:
https://pubmed.ncbi.nlm.nih.gov/23996831/

Based on:
https://pubmed.ncbi.nlm.nih.gov/34083616/