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Affective valence facilitates spatial detection on vertical axis: shorter time strengthens effect
Jiushu Xie1, Yanli Huang2, Ruiming Wang1
1Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou China.
The valence-space metaphor links emotions to spatial dimensions. This study found that positive emotions are associated with the upper space, and this effect is influenced by the time interval between stimuli, suggesting attentional modulation.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Neuroscience
Background:
- Affective concepts are often metaphorically mapped onto spatial dimensions, a phenomenon known as the valence-space metaphor.
- Previous research has not fully explored the valence-space metaphor across different spatial axes (transverse and vertical) or its temporal dynamics.
Purpose of the Study:
- To investigate the valence-space metaphor on the transverse (left-right) and vertical (up-down) spatial axes.
- To examine the time course and potential attentional modulation of the valence-space metaphor on the vertical axis.
Main Methods:
- A spatial cue task was employed with Chinese participants.
- Participants memorized affective words before performing a spatial target detection task.
- Interstimulus intervals (ISI) of 100, 500, and 1000 ms were manipulated to assess temporal effects.
Main Results:
- A significant valence-space metaphoric association was observed exclusively on the vertical axis, with positive words facilitating upper target detection.
- On the vertical axis, short ISIs (100 ms) showed both positive-upper and negative-lower associations.
- Longer ISIs (500 and 1000 ms) primarily revealed the positive-upper association, suggesting ISI modulates the metaphor's manifestation.
Conclusions:
- Affective valence processing preferentially activates the vertical spatial axis, not the transverse axis.
- The valence-space metaphoric association, particularly on the vertical axis, appears to be modulated by interstimulus interval, possibly reflecting attentional allocation mechanisms.
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