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Temporal Architecture of Language Processing: A Human Factors Analysis of Congruency Effects in Sequential and Random Presentation Modes

SessionPoster Session 1

DescriptionThis presentation examines how the order of information, sequential or random, affects language processing efficiency across different linguistic backgrounds. Using a mixed-factorial design, sixty participants completed tasks evaluating congruent and incongruent sentences presented in structured and random formats. Results reveal that sequential presentation significantly enhances cognitive processing, reducing cognitive load and improving accuracy compared to random input. Importantly, the advantage of structured information persists across monolingual and multilingual groups, suggesting a universal cognitive mechanism for processing ordered language. However, variations in congruency sensitivity suggest that linguistic background continues to influence subtle adaptations in cognitive processing. These findings directly apply to designing educational tools, emergency response interfaces, and AI-driven communication platforms that optimize information delivery based on cognitive principles. This research advances human factors models by highlighting the critical role of temporal organization in language comprehension and decision-making, offering practical strategies for improving human-computer interaction in multilingual and high-stakes environments.

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