Browse by author
Lookup NU author(s): Dr Joanna Wincenciak
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
We present a database of high-definition (HD) videos for the study of traits inferred from whole-body actions. Twenty-nine actors (19 female) were filmed performing different actions—walking, picking up a box, putting down a box, jumping, sitting down, and standing and acting—while conveying different traits, including four emotions (anger, fear, happiness, sadness), untrustworthiness, and neutral, where no specific trait was conveyed. For the actions conveying the four emotions and untrustworthiness, the actions were filmed multiple times, with the actor conveying the traits with different levels of intensity. In total, we made 2,783 action videos (in both two-dimensional and three-dimensional format), each lasting 7 s with a frame rate of 50 fps. All videos were filmed in a green-screen studio in order to isolate the action information from all contextual detail and to provide a flexible stimulus set for future use. In order to validate the traits conveyed by each action, we asked participants to rate each of the actions corresponding to the trait that the actor portrayed in the two-dimensional videos. To provide a useful database of stimuli of multiple actions conveying multiple traits, each video name contains information on the gender of the actor, the action executed, the trait conveyed, and the rating of its perceived intensity. All videos can be downloaded free at the following address: http://www-users.york.ac.uk/~neb506/databases.html. We discuss potential uses for the database in the analysis of the perception of whole-body actions.
Author(s): Keefe BD, Villing M, Racey C, Strong SL, Wincenciak J, Barraclough NE
Publication type: Article
Publication status: Published
Journal: Behaviour Research Methods
Year: 2014
Volume: 46
Issue: 4
Pages: 1042-1051
Print publication date: 01/12/2014
Online publication date: 01/03/2014
Date deposited: 05/02/2015
ISSN (electronic): 1554-3528
Publisher: Springer New York LLC
URL: http://dx.doi.org/10.3758/s13428-013-0439-6
DOI: 10.3758/s13428-013-0439-6
Altmetrics provided by Altmetric