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Filtered by themeDefining emotion13 papersclear ✕
1 Fear, Emotion, and ScienceComputers are beginning to acquire the ability to ex- press and recognize affect, and may soon be given the ability to “have emotions.” The essential role of emotion in both human cognition and perception, as demonstrated by recent neurological studies, indi- cates that affective computers should not only pro- vide better performance in assisting humans, but also might enhance computers’ abilities to make de- cisions. This paper presents and discusses key issues in “affective computing,” computing that relates to, arises from, or influences emotions. Models are sug- gested for computer recognition of human emotion, and new applications are presented for computer- assisted learning, perceptual information retrieval, arts and entertainment, and human health and inter- action. Affective computing, coupled with new wear- able computers, will also provide the ability to gather new data necessary for advances in emotion and cog- nition theory. 1 Fear, Emotion, and Science Nothing in life is to be feared. It is only to be under- stood. – Marie Curie Emotions have a stigma in science; they are believed to be inherently non-scientific. Scientific principles are derived from rational thought, logical arguments, testable hypotheses, and repeatable experiments. There is room alongside science for “non-interfering” emotions such as those involved in curiosity, frustration, and the pleasure of discovery. In fact, much scien- tific research has been prompted by fear. Nonetheless, the role of emotions is marginalized at best. Why bring “emotion” or “affect” into any of the deliberate tools of science? Moreover, shouldn’t it be completely avoided when considering properties to design into computers? After all, computers control significant parts of our lives – the phone system, the stock market, nuclear power plants, jet landings, and more. Who wants a computer to be able to “feel angry” at them? To feel contempt for any living thing? In this essay I will submit for discussion a set of ideas on what I call “affective computing,” computing that relates to, arises from, or influences emotions. This will need some further clari- fication which I shall attempt below. I should say up front that I am not proposing the pursuit of computerized cingulotomies1 or even into the business of building “emotional computers”. 1The making of small wounds in the ridge of the limbic sys- tem known as the cingulate gyrus, a surgical procedure to aid severely depressed patients. Nor will I propose answers
Emotion and Decision MakingJennifer S. Lerner · 2015A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across dif- ferent domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and de- cision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models. 799 Annu. Rev. Psychol. 2015.66:799-823. Downloaded from www.annualreviews.org Access provided by 109.228.76.45 on 09/07/22. For personal use only. Click here for quick links to Annual Reviews content online, including: • Other articles in this volume • Top cited articles • Top downloaded articles • Our comprehensive search Further ANNUAL REVIEWS Bounded rationality: the idea that decision making deviates from rationality due to such inherently human factors as limitations in cognitive capacity and willpower, and situational constraints Normative: how and/or what people should ideally judge or decide Emotion: multifaceted, biologically mediated, concomitant reactions (experiential, cognitive, behavioral, expressive) regarding survival-relevant events JDM: judgment and decision making Contents
Mapping the Passions: Toward a High-Dimensional Taxonomy of Emotional Experience and Expression1985What would a comprehensive atlas of human emotions include? For 50 years, scientists have sought to map emotion- related experience, expression, physiology, and recognition in terms of the “basic six”—anger, disgust, fear, happiness, sadness, and surprise. Claims about the relationships between these six emotions and prototypical facial configurations have provided the basis for a long-standing debate over the diagnostic value of expression (for review and latest installment in this debate, see Barrett et al., p. 1). Building on recent empirical findings and methodologies, we offer an alternative conceptual and methodological approach that reveals a richer taxonomy of emotion. Dozens of distinct varieties of emotion are reliably distinguished by language, evoked in distinct circumstances, and perceived in distinct expressions of the face, body, and voice. Traditional models—both the basic six and affective-circumplex model (valence and arousal)—capture a fraction of the systematic variability in emotional response. In contrast, emotion- related responses (e.g., the smile of embarrassment, triumphant postures, sympathetic vocalizations, blends of distinct expressions) can be explained by richer models of emotion. Given these developments, we discuss why tests of a basic-six model of emotion are not tests of the diagnostic value of facial expression more generally. Determining the full extent of what facial expressions can tell us, marginally and in conjunction with other behavioral and contextual cues, will require mapping the high-dimensional, continuous space of facial, bodily, and vocal signals onto richly multifaceted experiences using large-scale statistical modeling and machine-learning methods.
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