When prediction is fulfilled: Insight from emotion processing.
نویسندگان
چکیده
Research on prediction in language processing has focused predominantly on the function of predictive context and less on the potential contribution of the predicted word. The present study investigated how meaning that is not immediately prominent in the contents of predictions but is part of the predicted words influences sentence processing. We used emotional meaning to address this question. Participants read emotional and neutral words embedded in highly predictive and non-predictive sentential contexts, with the two sentential contexts rated similarly for their emotional ratings. Event Related Potential (ERP) effects of prediction and emotion both started at ~200ms. Confirmed predictions elicited larger P200s than violated predictions when the target words were non-emotional (neutral), but such an effect was absent when the target words were emotional. Likewise, emotional words elicited larger P200s than neutral words when the target words were non-predictive, but such effect were absent when the contexts were predictive. We conjecture that the prediction and emotion effects at ~200ms may share similar neural process(es). We suggest that such process(es) could be affective, where confirmed predictions and word emotion give rise to 'aha' or rewarding feelings, and/or cognitive, where both prediction and word emotion quickly engage attention.
منابع مشابه
A theoretical overview of the concept of anxiety and its role on emotion regulation from the perspective of psychoanalysis from Freud's time to the present
Infants would be able to regulate emotion and manage anxiety merely through their intimate relationship with attachment figures they are emotionally in harmony with. This capability is essential for social, emotional, cognitive, and neurobiological development of children, and moreover, their ability to cope with anxiety predicts their success in future relationships. Thus, a theoretical overvi...
متن کاملA Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes
Introduction: The importance of individual differences in the problem of emotion recognition has been repeatedly stated in the studies. The major concentration of this study was the prediction of heart rate variability (HRV) changes due to affective stimuli from the subject characteristics. These features were age (A), gender (G), linguality (L), and sleep (S) information. In addition, the most...
متن کاملIn the mood to get over yourself: mood affects theory-of-mind use.
Understanding others' behavior often involves attributing mental states to them by using one's "theory of mind." We argue that using theory of mind to recognize differences between one's own perspective and another's perspective is a deliberate process of inference that may be influenced by incidental mood. Because sadness is associated with more systematic and deliberate processing whereas hap...
متن کاملContext-rich Detection of User’s Emotions using A Smartphone
As an increasingly powerful computation platform, today’s off-theshelf smartphones are able to handle more sophisticated mobile sensing tasks, such as emotion sensing. Although numerous emotion detection technologies have been developed, the unpredictable variation of a person’s emotion raises the demand of sensing emotion in a mobile fashion. Also, detecting emotion is difficult, since people ...
متن کاملA Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation
Abstract Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Neuropsychologia
دوره 85 شماره
صفحات -
تاریخ انتشار 2016