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This situation, combined with the culture of solving these problems quickly, can lead students with DD towards a negative attitude style and ultimately learned helplessness to arithmetic in general (i.e., the affectively related influence that negative affective words had on solving simple arithmetic problems).
Most importantly, however, when primed by affective words, single chords incongruous to the preceding affect also elicited an N400 and activated the right posterior STS, an area implicated in processing meaning of a variety of signals (e.g. prosody, voices, motion).
We investigated the interplay between arousal and valence in the early processing of affective words.
According to hypotheses, patients rated affective words more strongly than controls and selectively recalled negative vs. positive/neutral words.
In particular, two versions of the modified counting task were developed: one incorporating neutral words and the other affective words.
EVIDII allows designers to associate affective words and images, and then shows several visual representations of the relationships among designers, images and words.
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RM-MANOVA showed a trend to categorize affective word targets faster when preceded by affectively congruent vs. incongruent music primes (i.e., affective priming effect) as suggested by a marginally significant effect of congruence [F 1,30) = 3.4, p = .07].07]
The least fluent condition was associated with negative affective word generation, where sad words were reliably less fluent than either happy or neutral words.
We have tested and measured this bias in the context of online written communication by analyzing three established lexica of affective word usage.
We have analyzed three established lexica of affective word usage in English, German, and Spanish, to verify that these lexica have a neutral, unbiased, emotional content.
In detail, we have analyzed three lexica of affective word usage which contain 1,034 English words, 2,902 German words and 1,034 Spanish words, together with their emotional scores obtained from extensive human ratings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com