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  1. Trait Anxiety and Economic Risk Avoidance Are Not Necessarily Associated: Evidence from the Framing Effect.Ruolei Gu, Runguo Wu, Lucas S. Broster, Yang Jiang, Rui Xu, Qiwei Yang, Pengfei Xu & Yue-Jia Luo - 2017 - Frontiers in Psychology 8.
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  • Does Gender Matter in the Relationship between Anxiety and Decision-Making?Fenghua Zhang, Leifeng Xiao & Ruolei Gu - 2017 - Frontiers in Psychology 8.
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  • What is an Emotion?William James - 1884 - Mind 9:188.
    A perfectly matched layer (PML) absorbing material composed of a uniaxial anisotropic material is presented for the truncation of finite-difference time-domain (FDTD) lattices. It is shown that the uniaxial PML material formulation is mathematically equivalent to the perfectly matched layer method published by Berenger (see J. Computat. Phys., Oct. 1994). However, unlike Berenger's technique, the uniaxial PML absorbing medium presented in this paper is based on a Maxwellian formulation. Numerical examples demonstrate that the FDTD implementation of the uniaxial PML medium (...)
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  • The role of anxiety and anger traits in financial field.Elisa Gambetti & Fiorella Giusberti - 2014 - Mind and Society 13 (2):271-284.
    To investigate the role of anger and anxiety traits on psychological attitudes about consumer behaviour, we asked to participants their perceptions and preferences about housing loans. Results show that: mortgage risk perception is negatively associated with trait anger and positively with trait anxiety, whereas the opposite happens for housing loan predictability; trait anger is positively associated with preference for adjustable-rate mortgage, whereas trait anxiety predicts a preference for no form of housing loan. These findings fit with a growing body of (...)
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  • Beyond valence: Toward a model of emotion-specific influences on judgement and choice.Jennifer S. Lerner & Dacher Keltner - 2000 - Cognition and Emotion 14 (4):473-493.
    Most theories of affective influences on judgement and choice take a valence-based approach, contrasting the effects of positive versus negative feeling states. These approaches have not specified if and when distinct emotions of the same valence have different effects on judgement. In this article, we propose a model of emotion-specific influences on judgement and choice. We posit that each emotion is defined by a tendency to perceive new events and objects in ways that are consistent with the original cognitive-appraisal dimensions (...)
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  • The brain basis of emotion: A meta-analytic review.Kristen A. Lindquist, Tor D. Wager, Hedy Kober, Eliza Bliss-Moreau & Lisa Feldman Barrett - 2012 - Behavioral and Brain Sciences 35 (3):121-143.
    Researchers have wondered how the brain creates emotions since the early days of psychological science. With a surge of studies in affective neuroscience in recent decades, scientists are poised to answer this question. In this target article, we present a meta-analytic summary of the neuroimaging literature on human emotion. We compare the locationist approach (i.e., the hypothesis that discrete emotion categories consistently and specifically correspond to distinct brain regions) with the psychological constructionist approach (i.e., the hypothesis that discrete emotion categories (...)
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  • Basic Emotion Questions.Robert W. Levenson - 2011 - Emotion Review 3 (4):379-386.
    Among discrete emotions, basic emotions are the most elemental; most distinct; most continuous across species, time, and place; and most intimately related to survival-critical functions. For an emotion to be afforded basic emotion status it must meet criteria of: (a) distinctness (primarily in behavioral and physiological characteristics), (b) hard-wiredness (circuitry built into the nervous system), and (c) functionality (provides a generalized solution to a particular survival-relevant challenge or opportunity). A set of six emotions that most clearly meet these criteria (enjoyment, (...)
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  • Known, Unknown, and Unknowable Uncertainties.Rakesh K. Sarin & Clare Chua Chow - 2002 - Theory and Decision 52 (2):127-138.
    In normative decision theory, the weight of an uncertain event in a decision is governed solely by the probability of the event. A large body of empirical research suggests that a single notion of probability does not accurately capture peoples' reactions to uncertainty. As early as the 1920s, Knight made the distinction between cases where probabilities are known and where probabilities are unknown. We distinguish another case –- the unknowable uncertainty –- where the missing information is unavailable to all. We (...)
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  • The influence of discrete emotions on judgement and decision-making: A meta-analytic review.Amanda D. Angie, Shane Connelly, Ethan P. Waples & Vykinta Kligyte - 2011 - Cognition and Emotion 25 (8):1393-1422.
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  • Insensitivity to future consequences following damage to human prefrontal cortex.Antoine Bechara, Antonio R. Damasio, Hanna Damasio & Steven W. Anderson - 1993 - Cognition 50 (1-3):7-15.
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  • Psychological Construction in the OCC Model of Emotion.Gerald L. Clore & Andrew Ortony - 2013 - Emotion Review 5 (4):335-343.
    This article presents six ideas about the construction of emotion: (a) Emotions are more readily distinguished by the situations they signify than by patterns of bodily responses; (b) emotions emerge from, rather than cause, emotional thoughts, feelings, and expressions; (c) the impact of emotions is constrained by the nature of the situations they represent; (d) in the OCC account (the model proposed by Ortony, Clore, and Collins in 1988), appraisals are psychological aspects of situations that distinguish one emotion from another, (...)
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  • Disentangling Risk and Uncertainty: When Risk-Taking Measures Are Not About Risk.Kristel De Groot & Roy Thurik - 2018 - Frontiers in Psychology 9:342416.
    Many studies claim to measure decision-making under risk by employing the Domain-Specific Risk-Taking (DOSPERT) scale, a self-report measure, or the Balloon Analogue Risk Task (BART), a behavioural task. However, these tasks do not measure decision-making under risk but decision-making under uncertainty, a related but distinct concept. The present commentary discusses both the theoretical and empirical basis of the distinction between uncertainty and risk from the viewpoint of several scientific disciplines and reports how many studies wrongfully employ the DOSPERT scale and (...)
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  • What is Meant by Calling Emotions Basic.Paul Ekman & Daniel Cordaro - 2011 - Emotion Review 3 (4):364-370.
    Emotions are discrete, automatic responses to universally shared, culture-specific and individual-specific events. The emotion terms, such as anger, fear, etcetera, denote a family of related states sharing at least 12 characteristics, which distinguish one emotion family from another, as well as from other affective states. These affective responses are preprogrammed and involuntary, but are also shaped by life experiences.
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  • Mind the Gap: Bridging economic and naturalistic risk-taking with cognitive neuroscience.Tom Schonberg, Craig R. Fox & Russell A. Poldrack - 2011 - Trends in Cognitive Sciences 15 (1):11.
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  • Effects of fear on risk and control judgements and memory: Implications for health promotion messages.Heather Lench & Linda Levine - 2005 - Cognition and Emotion 19 (7):1049-1069.
    Health promotion messages that evoke fear are often used to decrease unrealistic optimism regarding risks, convince people to control their behaviour, and make risks memorable. The relations among emotions, risk and control judgements, and memory are not well understood, however. In the current study, participants (N = 94) were assigned to fearful, angry, happy, or neutral emotion-elicitation conditions. They then rated the likelihood of experiencing 15 negative and 15 positive matched outcomes and rated their degree of control over each outcome. (...)
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  • P-curve: A key to the file-drawer.Uri Simonsohn, Leif D. Nelson & Joseph P. Simmons - 2014 - Journal of Experimental Psychology: General 143 (2):534-547.
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  • Decision making from economic and signal detection perspectives: development of an integrated framework.Spencer K. Lynn, Jolie B. Wormwood, Lisa F. Barrett & Karen S. Quigley - 2015 - Frontiers in Psychology 6.
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  • Fear and anger have opposite effects on risk seeking in the gain frame.Marianne Habib, Mathieu Cassotti, Sylvain Moutier, Olivier Houdé & Grégoire Borst - 2015 - Frontiers in Psychology 6.
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  • Monetary Rewards and Decision Cost in Experi-mental Economics.Vernon L. Smith & James M. Walker - 1993 - Economic Inquiry 31 (2).
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  • Anger, fear, and escalation of commitment.Ming-Hong Tsai & Maia J. Young - 2010 - Cognition and Emotion 24 (6):962-973.
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  • Do (un)certainty appraisal tendencies reverse the influence of emotions on risk taking in sequential tasks?Virginie Bagneux, Thierry Bollon & Cécile Dantzer - 2012 - Cognition and Emotion 26 (3):568-576.
    According to the Appraisal-Tendency Framework (Han, Lerner, & Keltner, 2007), certainty-associated emotions increase risk taking compared with uncertainty-associated emotions. To date, this general effect has only been shown in static judgement and decision-making paradigms; therefore, the present study tested the effect of certainty on risk taking in a sequential decision-making task. We hypothesised that the effect would be reversed due to the kind of processing involved, as certainty is considered to encourage heuristic processing that takes into account the emotional cues (...)
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  • Known, Unknown, and Unknowable Uncertainties.Clare Chua Chow & Rakesh Sarin - 2002 - Theory and Decision 52 (2):127-138.
    In normative decision theory, the weight of an uncertain event in a decision is governed solely by the probability of the event. A large body of empirical research suggests that a single notion of probability does not accurately capture peoples' reactions to uncertainty. As early as the 1920s, Knight made the distinction between cases where probabilities are known and where probabilities are unknown. We distinguish another case –- the unknowable uncertainty –- where the missing information is unavailable to all. We (...)
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