Can Shape Predict An Emotional Response? Detecting the Valence of Blurry Words. Technical Report 2015-01

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  • My study attempted to find out if the old part of our brain (limbic system) had a
    significant role in influencing how we detect the valence of blurry words without
    conscious awareness of what the words are. 10 participants were shown blurry words that
    could not be read and were asked to guess valence, without a time limit. The hypotheses
    for this study was that participants would be accurate in detecting valence of blurred
    words and that participants would rate negative words the most accurately. I also
    predicted that participants would attempt to read words before rating valence and they
    would attempt to read the words only in the beginning. The stimuli were shown to the
    participants on printed-paper. There were 10 blurred words per page with accompanying
    5-point Likert scales by each blurred word with a reference scale at the top of every page.
    My research data found that there was a significant statistical difference between people’s
    ability to detect the valence of blurred words compared to the normal ability (which is
    100% accuracy). The comparison showed that the participants were significantly worse at
    detecting the valence of blurred words than unblurred words. There was no significant
    statistical difference between people’s ability to detect the valence of blurry neutral
    words compared to the valence of blurry nonsensical words. Participants were equally
    accurate at both of these word-types. Participant responses also showed that they were
    statistically better at detecting the valence of negative blurry words than positive blurry
    words. So they were better at detecting negative valence than those of other valences.

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  • Yisa, Felix. (2015). Can Shape Predict An Emotional Response? Detecting the Valence of Blurry Words. Technical Report 2015-01. Cognitive Science Technical Report Series. Department of Cognitive Science.
Date Created
  • 2015-01-06

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