Topic
Surprise
About: Surprise is a research topic. Over the lifetime, 4371 publications have been published within this topic receiving 99386 citations.
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TL;DR: Older infants demonstrated referential and affect specificity, as evidenced by their differential treatment of the target and distracter toy in response to messages of anger, fear, surprise, and happiness, while younger infants did not show evidence of either referentional or affect specificity.
Abstract: Referential specificity and affect specificity were examined in 12- to 14-month-olds (n = 20), and 16- to 18-month-olds (n = 20). Infants were presented with a televised social referencing paradigm involving an actress who emoted a simple descriptive message to one of two objects appearing on the video. The actress altered her affective message using a neutral baseline first, followed by 5 discrete emotions (anger, fear, sadness, happiness, surprise). Infants were given 30 s to interact with the objects after watching the affective episode. Older infants demonstrated referential and affect specificity, as evidenced by their differential treatment of the target and distracter toy in response to messages of anger, fear, surprise, and happiness. In contrast, the younger infants did not show evidence of either referential or affect specificity, as evidenced by the lack of differentiation in their treatment of the target and distracter toy in response to positive and negative emotional messages across all emotional episodes.
17 citations
17 citations
06 Jul 2015
TL;DR: In software engineering and elsewhere, it is common for dierent people to work intensively with dierent to improve the quality of their work.
Abstract: In software engineering and elsewhere, it is common for dierent people to work intensively with dierent,
17 citations
23 Apr 2013
TL;DR: Findings reveal that three emotions were successfully able to be classified based on EEG signals.
Abstract: It is difficult to classify anger, fear, and surprise emotions with autonomic nervous system response patterns, because these three emotions show similar levels of valence and arousal dimensions. The purpose of this study was to classify three emotions by using EEG signals. Linear discriminant analysis (LDA) using three types of EEG characteristics showed that the mean recognition accuracy was 66.3%. These findings reveal that three emotions were successfully able to be classified based on EEG signals.
17 citations