Emotion and language: valence and arousal affect word recognition.

Area of Science:

• Cognitive Psychology
• Neuroscience
• Computational Linguistics

Background:

• Emotion significantly impacts cognition and behavior, yet its role in word recognition models is often overlooked.
• Previous research on automatic vigilance suggests emotion influences response times, but the exact nature of this relationship remains unclear.

Purpose of the Study:

• To precisely determine the effects of emotional arousal and valence on word recognition.
• To test competing models of emotional influence on cognitive processes.

Main Methods:

• Analysis of a large dataset comprising 12,658 words.
• Inclusion of extensive lexical and semantic control factors.
• Utilized lexical decision and naming tasks to gather word-level and trial-level data.

Main Results:

• Valence and arousal exert independent, monotonic effects on word recognition: negative and arousing words are processed more slowly.
• Valence accounted for approximately 2% of variance in recognition latencies; arousal's effect was smaller.
• Valence and arousal interact with word frequency, showing more pronounced effects on low-frequency words.

Conclusions:

• The findings support a new model of affective word processing where negativity monotonically predicts response speed.
• Emotional factors, particularly valence, enhance the predictive accuracy of word recognition models.
• Current models of word recognition require integration of emotional dimensions for comprehensive understanding.