communication
Research Brief #10
Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. (2010) Controlling for Response Biases Clarifies Sex and Age Differences in Facial Affect Recognition. Journal of Nonverbal Behavior; Dec2010, Vol. 34 Issue 4, p207-221.
What is the article trying to better understand?
They wanted to find if demographic groups differ in emotion-specific response biases. If so they wanted to know “whether controlling for these biases modifies demographic patterns of facial affect recognition”( Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. page 209). They also visited the question of whether sex differences in facial affect recognition remain stable with age.
How did the article go about trying to better understand it?
An online survey was used for the study. 1,989 males and 5,331 females’ surveys were deemed usable. They were asked to complete a self-administered task, programmed in Adobe Flash 8.0. The Penn Emotion Recognition Task (ER-40) was used and “is a standardized test of facial emotion recognition ability that consists of color photographs of evoked expressions from trained actors”( Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. Page 210). The task uses actors to re-live experiences that involve four basic emotions. The emotions were happy, sad, angry, and fearful. “Stimuli are then displayed one at a time in a randomized order. Each stimulus presentation consists of a single face and a list of the five emotion labels (happy, sad, anger, fear, and no emotion).” The person then selects which emotion they think the face is displaying. The survey, also, included demographic questions.
What were the article’s conclusions?
In regard to sex, age, intensity, and emotion females outperformed males, younger participants outperformed older participants, high intensity expressions were better recognized than low intensity
Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. (2010) Controlling for Response Biases Clarifies Sex and Age Differences in Facial Affect Recognition. Journal of Nonverbal Behavior; Dec2010, Vol. 34 Issue 4, p207-221.
What is the article trying to better understand?
They wanted to find if demographic groups differ in emotion-specific response biases. If so they wanted to know “whether controlling for these biases modifies demographic patterns of facial affect recognition”( Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. page 209). They also visited the question of whether sex differences in facial affect recognition remain stable with age.
How did the article go about trying to better understand it?
An online survey was used for the study. 1,989 males and 5,331 females’ surveys were deemed usable. They were asked to complete a self-administered task, programmed in Adobe Flash 8.0. The Penn Emotion Recognition Task (ER-40) was used and “is a standardized test of facial emotion recognition ability that consists of color photographs of evoked expressions from trained actors”( Sasson, Noah J.; Pinkham, Amy E.; Richard, Jan; Hughett, Paul; Gur, Raquel; Gur, Ruben C. Page 210). The task uses actors to re-live experiences that involve four basic emotions. The emotions were happy, sad, angry, and fearful. “Stimuli are then displayed one at a time in a randomized order. Each stimulus presentation consists of a single face and a list of the five emotion labels (happy, sad, anger, fear, and no emotion).” The person then selects which emotion they think the face is displaying. The survey, also, included demographic questions.
What were the article’s conclusions?
In regard to sex, age, intensity, and emotion females outperformed males, younger participants outperformed older participants, high intensity expressions were better recognized than low intensity