Program

Poster
PS28P-05-35

Cross-modal and single-modal Probabilistic Category Learning in a Weather Prediction Task.

[Speaker] Xunwei, Sun:1,2
[Co-author] Qiufang, Fu:1, Xiaolan, Fu:1
1:Institute of Psychology, Chinese Academy of Science (China (People's Republic of China)), 2:University of Chinese Academy of Sciences (China (People's Republic of China))

It remains unclear how people can predict the future event based on the cross-modal information in probabilistic category learning. To address this issue, the visual-visual (single-modal) and visual-auditory (cross-modal) stimuli were adopted in a weather prediction task in the present study. Subjects were asked to predict the weather based on the single-modal or cross-modal stimuli depending on the condition. To predict correctly, people had to combine features of the two dimensions in each condition. The results showed that subjects performed significantly above chance and there was no significant performance difference between the single-modal and cross-modal conditions, indicating that there was no visual-visual integration advantage compared to the visual-auditory combination in probabilistic category learning. Moreover, the prediction performance in both conditions was significantly related to the reported probability of the combined stimuli, suggesting that their prediction were based on at least some conscious knowledge.
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