Emotions are viewed as having evolved through their adaptive value in dealing with fundamental life-tasks. Each emotion has unique features: signal, physiology, and antecedent events. Each emotion also has characteristics in common with other emotions: rapid onset, short duration, unbidden occurrence, automatic appraisal, and coherence among responses. These shared and unique characteristics are the product of our evolution, and distinguish emotions from other affective phenomena.

An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect + pleasant) share a key. This performance difference implicitly measures differential association (...) of the 2 concepts with the attribute. In 3 experiments, the IAT was sensitive to (a) near-universal evaluative differences (e.g., flower vs. insect), (b) expected individual differences in evaluative associations (Japanese + pleasant vs. Korean + pleasant for Japanese vs. Korean subjects), and (c) consciously disavowed evaluative differences (Black + pleasant vs. White + pleasant for self-described unprejudiced White subjects). (PsycINFO Database Record (c) 2016 APA, all rights reserved). (shrink)

A widespread assumption in recent research on attitudes is that self-reported evaluations reflect conscious attitudes, whereas indirectly assessed evaluations reflect unconscious attitudes. The present article reviews the available evidence regarding unconscious features of indirectly assessed “implicit” attitudes. Distinguishing between three different aspects of attitudes, we conclude that people sometimes lack conscious awareness of the origin of their attitudes, but that lack of source awareness is not a distinguishing feature of indirectly assessed versus self-reported attitudes, there is no evidence that people (...) lack conscious awareness of indirectly assessed attitudes per se, and there is evidence showing that, under some conditions, indirectly assessed attitudes influence other psychological processes outside of conscious awareness. Implications for the concept of “implicit attitudes” are discussed. (shrink)

Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...) brain capture bottom-up patterns of activation in sensory-motor areas. Later, in a top-down manner, association areas partially reactivate sensory-motor areas to implement perceptual symbols. The stor- age and reactivation of perceptual symbols operates at the level of perceptual components – not at the level of holistic perceptual expe- riences. Through the use of selective attention, schematic representations of perceptual components are extracted from experience and stored in memory (e.g., individual memories of green, purr, hot). As memories of the same component become organized around a com- mon frame, they implement a simulator that produces limitless simulations of the component (e.g., simulations of purr). Not only do such simulators develop for aspects of sensory experience, they also develop for aspects of proprioception (e.g., lift, run) and introspec- tion (e.g., compare, memory, happy, hungry). Once established, these simulators implement a basic conceptual system that represents types, supports categorization, and produces categorical inferences. These simulators further support productivity, propositions, and ab- stract concepts, thereby implementing a fully functional conceptual system. Productivity results from integrating simulators combinato- rially and recursively to produce complex simulations. Propositions result from binding simulators to perceived individuals to represent type-token relations. Abstract concepts are grounded in complex simulations of combined physical and introspective events. Thus, a per- ceptual theory of knowledge can implement a fully functional conceptual system while avoiding problems associated with amodal sym- bol systems. Implications for cognition, neuroscience, evolution, development, and artificial intelligence are explored. (shrink)

When an attitude changes from A₁ to A₂, what happens to A₁? Most theories assume, at least implicitly, that the new attitude replaces the former one. The authors argue that a new attitude can override, but not replace, the old one, resulting in dual attitudes. Dual attitudes are defined as different evaluations of the same attitude object: an automatic, implicit attitude and an explicit attitude. The attitude that people endorse depends on whether they have the cognitive capacity to retrieve the (...) explicit attitude and whether this overrides their implicit attitude. A number of literatures consistent with these hypotheses are reviewed, and the implications of the dual-attitude model for attitude theory and measurement are discussed. For example, by including only explicit measures, previous studies may have exaggerated the ease with which people change their attitudes. Even if an explicit attitude changes, an implicit attitude can remain the same. (shrink)

Do basic emotions produce their predicted facial expressions in nonlaboratory settings? Available studies in naturalistic settings rarely test causation, but do show a surprisingly weak correlation between emotions and their predicted facial expressions. This evidence from field studies is more consistent with facial behavior having many causes, functions, and meanings, as opposed to their being fixed signals of basic emotion.

This article explores the idea that Core Affect provides the emotional quality to any conscious state. Core Affect is the neurophysiological state always accessible as simply feeling good or bad, energized or enervated, even if it is not always the focus of attention. Core Affect, alone or more typically combined with other psychological processes, is found in the experiences of feeling, mood and emotion, including the subjective experiences of fear, anger and other so-called basic emotions which are commonly thought to (...) be raw, primitive, and universal. (shrink)

Evidence on the coherence between emotion and facial expression in adults from laboratory experiments is reviewed. High coherence has been found in several studies between amusement and smiling; low to moderate coherence between other positive emotions and smiling. The available evidence for surprise and disgust suggests that these emotions are accompanied by their “traditional” facial expressions, and even components of these expressions, only in a minority of cases. Evidence concerning sadness, anger, and fear is very limited. For sadness, one study (...) suggests that high emotion–expression coherence may exist in specific situations, whereas for anger and fear, the evidence points to low coherence. Insufficient emotion intensity and inhibition of facial expressions seem unable to account for the observed dissociations between emotion and facial expression. (shrink)

I address the commentators' calls for clarification of theoretical terms, discussion of similarities to other proposals, and extension of the ideas. In doing so, I keep the focus on the purpose of memory: enabling the organism to make sense of its environment so that it can take action appropriate to constraints resulting from the physical, personal, social, and cultural situations.

ABSTRACTPeople sometimes report both pleasant and unpleasant feelings when presented with affective stimuli. However, what is reported as “mixed emotions” might reflect semantic knowledge about the...

Experiences of emotion are content-rich events that emerge at the level of psychological description, but must be causally constituted by neurobiological processes. This chapter outlines an emerging scientific agenda for understanding what these experiences feel like and how they arise. We review the available answers to what is felt (i.e., the content that makes up an experience of emotion) and how neurobiological processes instantiate these properties of experience. These answers are then integrated into a broad framework that describes, in psychological (...) terms, how the experience of emotion emerges from more basic processes. We then discuss the role of such experiences in the economy of the mind and behavior. (shrink)

In this paper, we introduce anaffective variant of the Simon paradigm. Three experiments are reported in which nouns and adjectives with a positive, negative, or neutral affective meaning were used as stimuli. Depending on the grammatical category of the presented word (i.e. noun or adjective), participants had to respond as fast as possible by saying a predetermined positive or negative word. In Experiments 1 and 2, the words POSITIVE and NEGATIVE were required as responses, in Experiment 3, FLOWER and CANCER (...) were used as response words. Despite the fact that participants were explicitly instructed to ignore the affective meaning of the presented words, reaction times were faster when the affective connotation of the presented word and the correct response was the same than when it differed. The results lendfurther support tothe hypothesis that stimulus valence can be processed automatically. We also argue that the affective Simon paradigm can be used as a flexible tool for the study of affective-processing and discuss how other variants of the Simon paradigm can be developed to stimulate research on other aspects of information-processing. (shrink)

D. L. Schacter and E. Tulving (1994) argued for distinctions among 5 major memory systems: working memory, semantic memory, episodic memory, the perceptual representation system (PRS), and procedural memory. This chapter considers whether and in what way recent neuroimaging research has enhanced or changed the understanding of each of the 5 major systems that had been identified on cognitive and neuropsychological grounds by Schacter and Tulving. The logic and criteria introduced by Schacter and Tulving for identifying memory systems are first (...) reviewed briefly. The neuroimaging evidence that bears on an understanding of working memory, semantic memory, episodic memory, PRS, and procedural memory is then considered and commented on. (PsycINFO Database Record (c) 2012 APA, all rights reserved). (shrink)