| Title |
The Nencki Affective Picture System (NAPS): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database
|
|---|---|
| Published in |
Behavior Research Methods, August 2013
|
| DOI | 10.3758/s13428-013-0379-1 |
| Pubmed ID | |
| Authors |
Artur Marchewka, Łukasz Żurawski, Katarzyna Jednoróg, Anna Grabowska |
| Abstract |
Selecting appropriate stimuli to induce emotional states is essential in affective research. Only a few standardized affective stimulus databases have been created for auditory, language, and visual materials. Numerous studies have extensively employed these databases using both behavioral and neuroimaging methods. However, some limitations of the existing databases have recently been reported, including limited numbers of stimuli in specific categories or poor picture quality of the visual stimuli. In the present article, we introduce the Nencki Affective Picture System (NAPS), which consists of 1,356 realistic, high-quality photographs that are divided into five categories (people, faces, animals, objects, and landscapes). Affective ratings were collected from 204 mostly European participants. The pictures were rated according to the valence, arousal, and approach-avoidance dimensions using computerized bipolar semantic slider scales. Normative ratings for the categories are presented for each dimension. Validation of the ratings was obtained by comparing them to ratings generated using the Self-Assessment Manikin and the International Affective Picture System. In addition, the physical properties of the photographs are reported, including luminance, contrast, and entropy. The new database, with accompanying ratings and image parameters, allows researchers to select a variety of visual stimulus materials specific to their experimental questions of interest. The NAPS system is freely accessible to the scientific community for noncommercial use by request at http://naps.nencki.gov.pl . |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 33% |
| Australia | 1 | 11% |
| United States | 1 | 11% |
| Korea, Republic of | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 720 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | <1% |
| Portugal | 2 | <1% |
| Germany | 2 | <1% |
| Italy | 2 | <1% |
| France | 2 | <1% |
| United States | 2 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 8 | 1% |
| Unknown | 696 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 151 | 21% |
| Student > Master | 107 | 15% |
| Researcher | 92 | 13% |
| Student > Bachelor | 79 | 11% |
| Student > Doctoral Student | 45 | 6% |
| Other | 105 | 15% |
| Unknown | 141 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 296 | 41% |
| Neuroscience | 73 | 10% |
| Computer Science | 34 | 5% |
| Agricultural and Biological Sciences | 28 | 4% |
| Engineering | 25 | 3% |
| Other | 72 | 10% |
| Unknown | 192 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 October 2022.
All research outputs
#1,915,955
of 25,374,917 outputs
Outputs from Behavior Research Methods
#185
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Outputs of similar age
#16,484
of 212,245 outputs
Outputs of similar age from Behavior Research Methods
#1
of 16 outputs
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