Centre for the Psychology of Learning and Experimental Psychopathology, Faculty of Psychology and Educational Sciences, KU Leuven.
Faculty of Psychology and Educational Sciences, KU Leuven.
J Exp Psychol Gen. 2023 Aug;152(8):2345-2358. doi: 10.1037/xge0001403. Epub 2023 Apr 13.
The current study adopted a multimodal assessment approach to map the idiosyncratic nature of how individuals perceive, represent, and remember their surroundings and to investigate its impact on learning-based generalization. During an online differential conditioning paradigm, participants ( = 105) learned the pairing between a blue color patch (CS +) and an outcome (i.e., shock symbol) and the unpairing between a green color patch and the same outcome. After the learning task, the generalization of outcome expectancies was assessed to 14 stimuli spanning the entire blue-green color spectrum. Hereafter, a stimulus identification task assessed the ability to correctly identify the CS + among this stimulus range. Continuous and binary color category membership judgments of the stimuli were assessed preconditioning. We found that a response model with color perception and identification performance as sole predictors was preferred to contemporary approaches that use stimulus as a predictor. Interestingly, incorporating interindividual differences in color perception, CS identification, and color categories significantly improved the models' ability to account for different generalization patterns. Our findings suggest that insight into the idiosyncratic nature of how individuals perceive, represent, and remember their surroundings provides exciting opportunities to understand post-learning behaviors better. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
本研究采用多模态评估方法来描绘个体感知、表示和记忆周围环境的特质,并探讨其对基于学习的泛化的影响。在在线差异条件作用范式中,参与者(n=105)学习了蓝色色块(CS+)与结果(即,电击符号)之间的配对,以及绿色色块与相同结果之间的不配对。在学习任务之后,评估了对跨越整个蓝-绿颜色范围的 14 个刺激的结果预期的泛化。此后,通过刺激识别任务评估了在该刺激范围内正确识别 CS+的能力。在条件作用之前评估了对刺激的连续和二元颜色类别成员身份判断。我们发现,将颜色感知和识别性能作为唯一预测因子的响应模型优于使用刺激作为预测因子的当代方法。有趣的是,纳入个体间颜色感知、CS 识别和颜色类别的差异显著提高了模型解释不同泛化模式的能力。我们的研究结果表明,深入了解个体感知、表示和记忆周围环境的特质为更好地理解学习后行为提供了令人兴奋的机会。