Over evolutionary time, humans have developed a selective sensitivity to features in the human face that convey information on sex, age, emotions, and intentions. This ability might not only be applied to our conspecifics nowadays, but also to other living objects (i.e., animals) and even to artificial structures, such as cars. To investigate this possibility, we asked people to report the characteristics, emotions, personality traits, and attitudes they attribute to car fronts, and we used geometric morphometrics (GM) and multivariate statistical (...) methods to determine and visualize the corresponding shape information. Automotive features and proportions are found to covary with trait perception in a manner similar to that found with human faces. Emerging analogies are discussed. This study should have implications for both our understanding of our prehistoric psyche and its interrelation with the modern world. (shrink)

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 (...) are constructed of more general brain networks not specific to those categories) to better understand the brain basis of emotion. We review both locationist and psychological constructionist hypotheses of brain–emotion correspondence and report meta-analytic findings bearing on these hypotheses. Overall, we found little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions. Instead, we found evidence that is consistent with a psychological constructionist approach to the mind: A set of interacting brain regions commonly involved in basic psychological operations of both an emotional and non-emotional nature are active during emotion experience and perception across a range of discrete emotion categories. (shrink)

Besides sensory characteristics of food, food-evoked emotion is a crucial factor in predicting consumer’s food preference and therefore in developing new products. Many measures have been developed to assess food-evoked emotions. The aim of this literature review is (i) to give an exhaustive overview of measures used in current research and (ii) to categorize these methods along measurement level (physiological, behavioral, and cognitive) and emotional processing level (unconscious sensory, perceptual / early cognitive, and conscious / decision making) level. This 3x3 (...) categorization may help researchers to compile a set of complementary measures (‘toolbox’) for their studies. We included 101 peer-reviewed articles that evaluate consumer’s emotions and were published between 1997 to 2016, providing us with 59 different measures. More than 60% of these measures are based on self-reported, subjective ratings and questionnaires (cognitive measurement level) and assess the conscious / decision-making level of emotional processing. This multitude of measures and their overrepresentation in a single category hinders the comparison of results across studies and building a complete multi-faceted picture of food-evoked emotions. We recommend (1) to use widely applied, validated measures only, (2) to refrain from using (highly correlated) measures from the same category but use measures from different categories instead, preferably covering all three emotional processing levels, and (3) to acquire and share simultaneously collected physiological, behavioral, and cognitive datasets to improve the predictive power of food choice and other models. (shrink)

Purpose This paper aims to survey the moral psychology of emoji, time-restricted messaging and other non-verbal elements of nominally textual computer-mediated communication. These features are increasingly common in interpersonal communication. Effects on both individual well-being and quality of intimate relationships are assessed. Results of this assessment are used to support ethical conclusions about these elements of digital communication. Design/methodology/approach Assessment of these non-verbal elements of CMC is framed in light of relevant literature from a variety of fields, including neuroscience, behavioral (...) economics and social psychology. The resulting ethical analysis is informed by both Aristotelian and Buddhist virtue ethics. Findings This paper finds that emoji and other nonverbal elements of CMC have positive potential for individual well-being and interpersonal communication. They can be used to focus and direct attention, express and acknowledge difficult emotions and increase altruistic tendencies. Research limitations/implications This paper is conceptual, extrapolating from existing literature to investigate possibilities rather than reporting on novel experiments. It is not intended to substitute for empirical research on use patterns and their effects. But by identifying positive potential, it can help both users and designers to support individual and relational well-being. Practical implications The positive effects identified here can be incorporated into both design and use strategies for CMC. Social implications Situating ethical analysis of these trending technologies within literature from the social sciences on the effects of stylized faces, disappearing messages and directed attention can help us both understand their appeal to users and best practices for using them to enrich our social lives. Originality/value The paper uses empirically informed moral psychology to understand a deceptively trivial-looking phenomenon with wide-ranging impacts on human psychology and relationships. (shrink)