Whereas by chance alone they would be expected to correctly identify "happy" music one-third of the time, the Mafas correctly picked it 60% of the time on average.
In the first study, Takayuki Nakata of Future University Hakodate in Japan and his co-workers verified that Japanese children who are born deaf but use CIs are significantly less able to identify happy, sad, and angry voices than normal hearers of the same age.
The women were equally able to identify happy faces, demonstrating that the fear response was a more powerful response.
The negative effect of video gaming on empathy has also been scientifically proven; Dr. Gary Small at UCLA has shown using MRI brain scans that young adults were able to identify happy faces faster than angry faces, but playing a violent video game before the facial recognition experiments made them much slower in recognizing happy facial expression.
Similarly in the 32 ms condition, participants were more confident of seeing happy (2.36±0.08) versus sad faces (2.28±0.09; p = 0.005) and more accurate in identifying happy (72.75±1.61) versus sad faces (66.00±1.86; p<0.0001) (see Figure 2).
In line with results from the normal participants, the patient was more confident of seeing happy (2.21±0.09) versus sad faces (1.87±0.10; p = 0.014) in the conscious trials, and also more accurate when identifying happy (Mean: 96.97) versus sad faces (Mean: 78.57; p = 0.025) in the conscious trials.
Older adolescents were equally proficient at identifying happy, fearful, and neutral faces but also found angry expressions most difficult to discriminate (p = 0.018).
(Guess whose upper lip got even stiffer?) It also identified notably "happy" and "sad" periods coinciding with historical events.
Once I identified the happy sounding tufty-headed fellow frequenting my front yard as a Black Phoebe, they were everywhere.
He passed along contacts for three people he identified as "happy customers" who "had a great time with our service and were satisfied with the outcome".
