The absence of an explicit warning about the presence of cheaters in the descriptors tagged to faces might explain the relative lower accuracy to cheaters in this experiment.
The financial scenario in experiments 1 and 2 was adapted from one of the scenarios used by Chiappe and colleagues [30] where the rules of the social contract and correspondent moral status were added to the descriptors tagged to faces.
The results reported here show that recognition biases, measured as accuracy and response latency, are modulated by the social context and correspondent behavioral descriptors tagged to faces during encoding.
The results described here showed that the presence or absence of statements about the moral status and rules of social contract in descriptors tagged to learned faces led to diverging results.
Experiments 1 and 2 used a financial encoding scenario and revealed an enhanced recognition of prosocial faces when the moral status of the behavioral descriptors tagged to faces was not explicit (e.g., the words "cooperators" and "cheaters" were absent and rules of social contract were not stated).
Then three other screens were presented, each one of them containing 6 faces to be memorized in the absence of an encoding scenario; no behavioral descriptors were tagged to the faces.
Comparing the two indexers, the investigators found significant differences in depth of indexing (e.g., the prevalence of major and minor descriptors, check-tags, and subheadings) and choice of subject headings [ 19].
Ignore descriptors on tags such as "ultra plush," "super soft," or "extra firm".
This article proposes a new bottom-up method which detects and extracts homogeneous text in document images indifferent to font types and size by using connected components analysis for the object detection, document structure elements (DSE) to construct a descriptor and SVM to tag the appropriate objects as text.
And a few rare services actually pay people to evaluate products; the Pandora music-streaming service has 50 employees who listen to songs and tag them with descriptors — "upbeat," "minor key," "prominent vocal harmonies".
Shape Matching and Complex Fourier Descriptors analyses were used to track tag displacement through consecutive frames in a 7-day experiment under monochromatic blue light (480 nm)–darkness conditions.
