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Positive affect significantly influences cognitive processes, including evaluation, memory, creativity, and social judgments. Compared to negative affect, positive emotional states promote more favorable interpretations of stimuli, cognitive flexibility, and heuristic processing. These effects highlight emotions' powerful role in shaping how individuals perceive, remember, and interact with the world.Influence on Evaluation and AttributionWhen individuals experience positive affect, they are...
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Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
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Advancing affective stimuli databases: challenges and solutions.

Marina M Gerges1, Danila Shelepenkov1, Vladimir Kosonogov2

  • 1Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.

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Summary

This review highlights limitations in current affective stimulus databases for emotion research. Future databases need standardized methods, diverse stimuli, and advanced tech for better reproducibility and understanding of affective processes.

Keywords:
affective scienceaffective stimulus databasesdatabasespsychophysiological researchstimuli

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Area of Science:

  • Psychology
  • Neuroscience
  • Affective Science

Background:

  • Affective stimulus databases are crucial for controlled emotional induction in research.
  • Existing databases suffer from methodological limitations impacting study comparability and reproducibility.

Purpose of the Study:

  • To review modern affective stimulus databases across various domains (visual, auditory, textual, multimodal).
  • To identify key challenges and propose strategies for improving future affective databases.

Main Methods:

  • Comprehensive literature review of current affective stimulus databases.
  • Analysis of database attributes, including standardization, validation, cultural specificity, and assessment methods.
  • Examination of stimulus diversity, duration control, and ecological validity.

Main Results:

  • Identified significant challenges: inconsistent standardization and validation, cultural specificity, and limited emotion assessment methods.
  • Noted issues with stimulus diversity, duration control, and ecological validity affecting psychophysiological studies.
  • Highlighted variability in visual, auditory, textual, and multimodal affective databases.

Conclusions:

  • Future affective databases require standardized evaluation methodologies and culturally diverse stimuli.
  • Integration of virtual reality and machine learning can enhance stimulus control and ecological validity.
  • Improved database structure and consistent methodologies will enhance emotion research reliability and applicability.