We will show with simulations how the context congruency and coherency of facial features improve visual search performance in terms of decision time and accuracy. Moreover, the target-face can either have incoherent expressions, resulting in an ambiguous emotion, or it can have coherent expressions that cue an unambiguous emotion. In this task, the target-face can be embedded either in an affectively congruent, an incongruent social context or neither. By modulating the agent’s confidence in its visual inputs (or sensory precision) 2, 3, 4, we will show that the emotion of a target-character can be perceived differently under different social contexts. This task involves embedding a target-face with either ambiguous or unambiguous emotion in different social contexts (e.g. In this work, we will use a similar paradigm to the social context appreciation task and demonstrate how context can alter perception. Inferring the emotion of the target-character requires the participants to make an inference about the social context.
As an example, one can infer a target-character that expresses an ambiguous emotion as happy if the faces that define the social context express unambiguously happy emotion. In the context-embedded case, the characters other than the target-character define a social context. An example of this is the social context appreciation task 1, where a target-character with ambiguous emotion is first presented by itself, and later within a social context (see Fig. A word can have multiple meaning by itself, but the sentence in which it is used imbues it with a definite meaning.Ĭontextual information is crucial for mental state attribution. For example, context resolves uncertainty in the way a sentence resolves uncertainty about a word. Statistical regularities in the world often provide context that we may use to resolve uncertainty about the intrinsically ambiguous observations we make. When this occurs, we must seek out additional information to resolve uncertainty about the true state of the world. However, visual, lexical and semantic obscurities often prevent us from perceiving things for what they are. We continually make inferences about the state of the world based on the sensory information available to us. Furthermore, we show through simulations that the abnormal viewing strategies employed by patients with schizophrenia may be due to (i) an imbalance between the precisions of local and global features in the scene and (ii) a failure to modulate the sensory precision to contextualise emotions. We show with simulations that context congruency and facial expression coherency improve behavioural performance in terms of decision times.
Using active inference models, we provide a proof of concept that an agent’s perception of sensory stimuli may be altered by social context. This task involves mental state attribution to a target-face (either happy or sad) depending on the social context. The social context is determined by the emotions conveyed by other faces in the scene. In this paper, we introduce a mental state attribution task where a target-face with either an ambiguous or an unambiguous emotion is embedded in different social contexts. The context in which social interactions take place is crucial for mental state attribution as sensory inputs may be perceived differently depending on the context. For the determination of the evaluation polarity, in a corpus composed of 2500 customer reviews, the correct answer rate is 75.0%.Human social interactions depend on the ability to resolve uncertainty about the mental states of others. To resolve such ambiguity, this system achieves an accurate contextual analysis, by identifying compositionally the overall role relations between words. In the following example, having a ldquobig heartrdquo (a tolerant mind), ldquobigrdquo is usually understood as a quality, whereas in the expression ldquobig wordsrdquo, it has rather a pejorative connotation. Also detecting the antecedent of ldquoitrdquo, an anaphor, is as well indispensable for interpreting accurately the knowledge representation expressed in this contextual sentence. In the e.g.,, identifying which of ldquodislikerdquo or ldquodeliciousrdquo is the main meaning, evaluation, among these sentences is necessary. A system able to interpret coherence of multiple sequential foci, while disambiguating multiple meanings of representations arising in the context, is exposed in this article.
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