The role of motion in learning new faces
By Karen Lander, Vicki Bruce. 2003
118 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/747e6997747abb0ac75b13b3de7ad6b8570e647c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Christopher Y. Olivola
- Alexander Todorov
- Ron Dotsch
- Nikolaas N. Oosterhof
- Peter Mende-Siedlecki
- M. Petersen
- Lasse Laustsen
In Computer Vision and Pattern Recognition
In Experimental and Cognitive Psychology
- Christopher Y. Olivola
- Alexander Todorov
- Ron Dotsch
- Nikolaas N. Oosterhof
- Peter Mende-Siedlecki
- M. Petersen
- Lasse Laustsen
Citations in the corpus
- Elected in 100 milliseconds: Appearance-Based Trait Inferences and Voting (2010, background): “For example, dynamic faces are represented more easily (Thornton and Kourtzi 2002; Yoshikawa and Sato 2006), remembered better (Lander and Bruce 2003), identified more accurately (Lander and Bruce 2000; Lander et al.”