1,449 research outputs found

    Does familiarity breed contempt or liking? Comment on Reis, Maniaci, Caprariello, Eastwick, and Finkel

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    Reis, Maniaci, Caprariello, Eastwick, and Finkel (2011) conducted 2 studies that demonstrate that in certain cases, familiarity can lead to liking-in seeming contrast to the results of our earlier article (Norton, Frost, & Ariely, 2007). We believe that Reis et al. (a) utilized paradigms far removed from spontaneous, everyday social interactions that were particularly likely to demonstrate a positive link between familiarity and liking and (b) failed to include and incorporate other sources of data-both academic and real-world-showing that familiarity breeds contempt. We call for further research exploring when and why familiarity is likely to lead to contempt or liking, and we suggest several factors that are likely to inform this debate. © 2011 American Psychological Association

    Analytical reasoning task reveals limits of social learning in networks

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    Social learning -by observing and copying others- is a highly successful cultural mechanism for adaptation, outperforming individual information acquisition and experience. Here, we investigate social learning in the context of the uniquely human capacity for reflective, analytical reasoning. A hallmark of the human mind is our ability to engage analytical reasoning, and suppress false associative intuitions. Through a set of lab-based network experiments, we find that social learning fails to propagate this cognitive strategy. When people make false intuitive conclusions, and are exposed to the analytic output of their peers, they recognize and adopt this correct output. But they fail to engage analytical reasoning in similar subsequent tasks. Thus, humans exhibit an 'unreflective copying bias,' which limits their social learning to the output, rather than the process, of their peers' reasoning -even when doing so requires minimal effort and no technical skill. In contrast to much recent work on observation-based social learning, which emphasizes the propagation of successful behavior through copying, our findings identify a limit on the power of social networks in situations that require analytical reasoning

    The Pot Calling the Kettle Black: Distancing Response to Ethical Dissonance

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    Six studies demonstrate the "pot calling the kettle black" phenomenon whereby people are guilty of the very fault they identify in others. Recalling an undeniable ethical failure, people experience ethical dissonance between their moral values and their behavioral misconduct. Our findings indicate that to reduce ethical dissonance, individuals use a double-distancing mechanism. Using an overcompensating ethical code, they judge others more harshly and present themselves as more virtuous and ethical (Studies 1, 2, 3). We show this mechanism is exclusive for ethical dissonance and is not triggered by salience of ethicality (Study 4), general sense of personal failure, or ethically neutral cognitive dissonance (Study 5). Finally, it is characterized by some boundary conditions (Study 6). We discuss the theoretical contribution of this work to research on moral regulation and ethical behavior

    Quantum decision making by social agents

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    The influence of additional information on the decision making of agents, who are interacting members of a society, is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalization of the quantum decision theory developed earlier by the authors for separate individuals. The generalized approach is free of the standard paradoxes of classical decision theory. This approach also explains the error-attenuation effects observed for the paradoxes occurring when decision makers, who are members of a society, consult with each other, increasing in this way the available mutual information. A precise correspondence between quantum decision theory and classical utility theory is formulated via the introduction of an intermediate probabilistic version of utility theory of a novel form, which obeys the requirement that zero-utility prospects should have zero probability weights.Comment: This paper has been withdrawn by the authors because a much extended and improved version has been submitted as arXiv:1510.02686 under the new title "Role of information in decision making of social agents

    How brains make decisions

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    This chapter, dedicated to the memory of Mino Freund, summarizes the Quantum Decision Theory (QDT) that we have developed in a series of publications since 2008. We formulate a general mathematical scheme of how decisions are taken, using the point of view of psychological and cognitive sciences, without touching physiological aspects. The basic principles of how intelligence acts are discussed. The human brain processes involved in decisions are argued to be principally different from straightforward computer operations. The difference lies in the conscious-subconscious duality of the decision making process and the role of emotions that compete with utility optimization. The most general approach for characterizing the process of decision making, taking into account the conscious-subconscious duality, uses the framework of functional analysis in Hilbert spaces, similarly to that used in the quantum theory of measurements. This does not imply that the brain is a quantum system, but just allows for the simplest and most general extension of classical decision theory. The resulting theory of quantum decision making, based on the rules of quantum measurements, solves all paradoxes of classical decision making, allowing for quantitative predictions that are in excellent agreement with experiments. Finally, we provide a novel application by comparing the predictions of QDT with experiments on the prisoner dilemma game. The developed theory can serve as a guide for creating artificial intelligence acting by quantum rules.Comment: Latex file, 20 pages, 3 figure

    When the relatively poor prosper: the Underdog Effect on charitable donations

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    In fundraising, it is common for the donor to see how much a charity has received so far. What is the impact of this information on a) how much people choose to donate and b) which charity they choose to donate to? Conditional cooperation suggests that people will donate to the charity that has received the most prior support, while the Underdog Effect suggests increased donations to the charity with the least support. Across 2 laboratory experiments, an online study (combined N = 494) and a qualitative survey (N = 60), a consistent preference to donate to the charity with the least prior support was observed. Thus, the Underdog Effect was supported. We suggest people will show a preference for the underdog if there are two or more charities to donate to, one of the charities is at a disadvantage and people have little pre-existing loyalty to either charity

    Nudging art lovers to donate.

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    Many nonprofit organizations face revenue uncertainty due to funding cuts. It is crucial for them to supplement existing revenue streams by private donations, and apply thoughtful market segmentation in their pursuit of donors. We introduce the behavioral concept of ‘nudge’ based on the possibility of loss aversion affecting willingness-to-donate, and investigate its implications for fundraising strategies. Potential donors are nudged to donate by the hypothetical scenario of ‘losing’ an existing exhibition, and also by that of ‘gaining’ an additional exhibition. We observe significant loss aversion effects as frequent gallery-goers donate more in order to avoid losing an exhibition. While both prospective gain and loss scenarios are effective in nudging non-frequent gallery-goers, the prospect of enjoying ‘one more’ event is observed to be stronger. We argue that there may be scope to increase support for nonprofit organizations, particularly in the cultural sector, by exploiting the psychological characteristics of prospective donors
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