ArticleLiterature Review

How Actions Create – Not Just Reveal – Preferences

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Abstract

The neo-classical economics view that behavior is driven by - and reflective of - hedonic utility is challenged by psychologists' demonstrations of cases in which actions do not merely reveal preferences but rather create them. In this view, preferences are frequently constructed in the moment and are susceptible to fleeting situational factors; problematically, individuals are insensitive to the impact of such factors on their behavior, misattributing utility caused by these irrelevant factors to stable underlying preferences. Consequently, subsequent behavior might reflect not hedonic utility but rather this erroneously imputed utility that lingers in memory. Here we review the roles of these streams of utility in shaping preferences, and discuss how neuroimaging offers unique possibilities for disentangling their independent contributions to behavior.

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... This study reveals the difficulty participants face in detecting manipulations of their initial choices by an experimenter who replaced the picture participants had chosen with one they had not. Some authors have suggested that this effect could be the result of insufficient introspection [10][11][12] or an underestimation of the influence of environmental and situational factors [13][14][15][16][17]. ...
... CB could be the result of insufficient introspection [10][11][12] and of the under-estimation of the influence of environmental and situational factors (environmental factors include the participant's physical surroundings. Situational factors would instead consist of the general context of the situation they are currently in, such as the fact that they are participating in an online experiment) [13][14][15][16][17]. Yet, an attitude of openness allows meditators to obtain better introspective access [5,6] as well as an improved capacity to focus on environmental details [7,8]. ...
... Another primary explanation for CB is the under-estimation of the influence of environmental and situational factors in decision-making [13], likely linked to information processing [14,15,17,51]. Thus, thanks to the use of an analytical attitude, mindfulness meditators would be able to consider the importance of the influence of environmental factors during decision-making. ...
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The mindfulness trait is an intrinsic characteristic of one’s disposition that facilitates awareness of the present moment. Meditation has proven to enhance situational awareness. In this study, we compared the performance of participants that were split into two groups depending on their experience in mindfulness meditation (a control group naive to mindfulness meditation and a group of experienced mindfulness meditators). Choice-blindness happens when people fail to notice mismatches between their intentions and the consequences of decisions. Our task consisted of decisions where participants chose one preferred female facial image from a pair of images for a total of 15 decisions. By reversing the decisions, unbeknownst to the participants, three discrepancies were introduced in an online experimental design. Our results indicate that the likelihood of detecting one or more manipulations was higher in the mindful group compared to the control group. The higher FMI scores of the mindful group did not contribute to this observation; only the practice of mindfulness meditation itself did. Thus, this could be explained by better introspective access and control of reasoning processes acquired during practice and not by the latent characteristics that are attributed to the mindfulness trait.
... Due to non-commutativity of measurement with certain eigenbases, a quantum model naturally accounts for order effect, where one judgement can affect later judgements [18]. Also, the assumption in economics that choices reveal preferences and beliefs is challenged by several studies, suggesting that the process of decision contributes to the construction of preferences [19,20]. In this respect, the active role of measurement in quantum models offers a natural resemblance to choices that shapes the preferences. ...
... However, extensive evidence (e.g. [19]) points to a constructive role of choice, i.e. people seem to select an optimization criterion that depends on the faced task. The constructionist view of choice bears a striking resemblance to the "scissors" analogy of Simon's paper [37]. ...
... where the term f(π n ) plays the role of classical probability, and the term q(π n ) is the interference term. The detailed derivation of Eq (19) and the relevant explanation are provided in "S1 Appendix". As their classical counterparts, static quantum theories of decision-making are fundamentally unable to answer important questions, such as the effect of time pressure on choice and the distribution of response times [8,9]. ...
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We present a short review of discrete-time quantum walks (DTQW) as a potentially useful and rich formalism to model human decision-making. We present a pedagogical introduction of the underlying formalism and main structural properties. We suggest that DTQW are particularly suitable for combining the two strands of literature on evidence accumulator models and on the quantum formalism of cognition. Due to the additional spin degree of freedom, models based on DTQW allow for a natural modeling of model choice and confidence rating in separate bases. Levels of introspection and self-assessment during choice deliberations can be modeled by the introduction of a probability for measurement of either position and/or spin of the DTQW, where each measurement act leads to a partial decoherence (corresponding to a step towards rationalization) of the deliberation process. We show how quantum walks predict observed probabilistic misperception like S-shaped subjective probability and conjunction fallacy. Our framework emphasizes the close relationship between response times and type of preferences and of responses. In particular, decision theories based on DTQW do not need to invoke two systems (“fast” and “slow”) as in dual process theories. Within our DTQW framework, the two fast and slow systems are replaced by a single system, but with two types of self-assessment or introspection. The “thinking fast” regime is obtained with no or little self-assessment, while the “thinking slow” regime corresponds to a strong rate of self-assessment. We predict a trade-off between speed and accuracy, as empirically reported.
... Although a few studies have empirically investigated temporal spillover effects in the context of nudging, there are several established theories in psychology that do point to this possibility, such as self-perception theory (Bem, 1972) and self-herding (Ariely and Norton, 2008). That is, in both self-perception theory and the literature on self-herding, the central premise is that new attitudes and preferences are not just determinants of our behaviour, but can sometimes also be the product of behaviour as they can be formed by observing our own behaviour. ...
... On the 2nd day, the nudge in the experimental condition was removed. Building on the theories that predict that behaviour can also be seen as the input to affect internal states (e.g., attitudes and identities), which, in turn, affect subsequent behaviour (Bem, 1972;Ariely and Norton, 2008;Bénabou and Tirole, 2011;Gneezy et al., 2012), we expected to find (1) an effect of the nudge on questionnaire choice on the 1st day and (2) an effect of the initial nudge on questionnaire choice on the 2nd day even when the nudge was no longer present. ...
... As discussed in the introduction, several theories predict that an attitude (Bem, 1972;Ariely and Norton, 2008) or even identity (Bénabou and Tirole, 2011;Gneezy et al., 2012) change could explain the temporal spillover effect. Therefore, in Experiment 2, we examined the options of a mediated pathway of changed attitudes and changed identity between two similar behaviours of which the first was initially elicited by the nudge. ...
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Nudges, such as defaults, are generally found to be effective in guiding immediate behavioural decisions. However, little is known about whether the effect of a nudge can be lasting, meaning that it spills over to subsequent similar choices without the presence of a nudge. In three experiments, we explored the temporal spillover effects of a default nudge. The results of Experiments 1 ( N = 1,077) and 2 ( N = 1,036) suggest that nudging participants into completing a longer questionnaire affected their decision for the same behaviour a day later without the presence of a nudge. However, nudging participants into a healthier food choice in Experiment 3 ( N = 969) did not result in such a temporal spillover effect. The results indicated that participants' change in attitude towards the nudged behaviour may partly explain the temporal spillover effects. These findings suggest that for some, but not all behaviours, default nudges may have the potential to yield temporal spillover effects and warrant a further investigation of boundary conditions and facilitators of the spillover effects of nudges.
... This article argues that any attempt to adapt a robot's behavior to human preference needs to acknowledge that the robot can change human preference. This is due to the fact that although preference does influence behavior, behavior can predate and lead to the formation of new preference [3]. Certain forms of HRI thus run the risk of being manipulative if the Robot has some preference over human behaviour. ...
... It is also important to note that although preference does influence behavior, behavior can predate and lead to the formation of new preference [3]. Adapting a social robot's behavior to a user preference is not only a matter of preference learning; because the adapted robot behavior changes a user's behavior, it also can and will change a user's preferences. ...
Preprint
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Human-robot interaction exerts influence towards the human, which often changes behavior. This article explores an externality of this changed behavior - preference change. It expands on previous work on preference change in AI systems. Specifically, this article will explore how a robot's adaptive behavior, personalized to the user, can exert influence through social interactions, that in turn change a user's preference. It argues that the risk of this is high given a robot's unique ability to influence behavior compared to other pervasive technologies. Persuasive Robotics thus runs the risk of being manipulative.
... As well as facilitating the inference of preferences, past choices also shape them. This has been demonstrated in studies of free choice, which show that after freely choosing an option, people tend to increase their subjective preference for it (Akaishi, Umeda, Nagase, & Sakai, 2014;Alos-Ferrer & Shi, 2012;Ariely & Norton, 2008;Brehm, 1956;Chammat et al., 2017;Cockburn, Collins, & Frank, 2014;Koster, Duzel, & Dolan, 2015;Miyagi, Miyatani, & Nakao, 2017;Nakao et al., 2016;Riefer, Prior, Blair, Pavey, & Love, 2017;Schonberg et al., 2014;Sharot, De Martino, & Dolan, 2009;Vinckier et al., 2019;Voigt, Murawski, & Bode, 2017). In the original free-choice paradigm, Brehm (1956) asked participants to rate a set of items (e.g. ...
... The objective of decision making is therefore to reduce the error between one's past choices and present preferences; we refer to this general mechanism as coherency maximization. Consistent with patterns of repeat-purchasing observed in supermarket consumers (Riefer et al., 2017) and studies of choice-induced preference change (Akaishi et al., 2014;Alos-Ferrer & Shi, 2012;Ariely & Norton, 2008;Brehm, 1956;Chammat et al., 2017;Cockburn et al., 2014;Koster et al., 2015;Miyagi et al., 2017;Nakao et al., 2016;Schonberg et al., 2014;Sharot et al., 2009;Vinckier et al., 2019;Voigt et al., 2017), coherency maximization boosts the likelihood of past choices being repeated by shifting preferences towards the chosen item and away from rejected alternatives. As was shown in a simple simulation, this mechanism can drive strong subjective preferences in the absence of extrinsic feedback. ...
Article
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Recent findings suggest a bidirectional relationship between preferences and choices such that what is chosen can become preferred. Yet, it is still commonly held that preferences for individual items are maintained, such as caching a separate value estimate for each experienced option. Instead, we propose that all possible choice options and preferences are represented in a shared, continuous, multidimensional space that supports generalization. Decision making is cast as a learning process that seeks to align choices and preferences to maintain coherency. We formalized an error-driven learning model that updates preferences to align with past choices, which makes repeating those and related choices more likely in the future. The model correctly predicts that making a free choice increases preferences along related attributes. For example, after choosing a political candidate based on trivial information (e.g., they like cats), voters' views on abortion, immigration, and trade subsequently shifted to match their chosen candidate.
... This read-out assumption bears a striking resemblance to the assumption in economic models that preferences and beliefs are revealed by the choices people make (McFadden, Machina, & Baron, 1999;Samuelson, 1938). Yet decades of research from judgment and decision making and behavioral economics suggests that preferences are not revealed by the choices people make, but rather constructed by the process of generating a response like a choice (Ariely & Norton, 2008;Lichtenstein & Slovic, 2006;Payne, Bettman, & Johnson, 1992;Slovic, 1995). This construction of preference is typically understood as the result of people selecting a specific procedure from a larger repertoire of possible strategies to formulate a response (Gigerenzer et al., 1999;Hertwig et al., 2019;Payne, Bettman, & Johnson, 1993;Tversky, Sattath, & Slovic, 1988), or the dynamic nature of information accumulation that adjusts preferences over time (Busemeyer & Townsend, 1993;Johnson & Busemeyer, 2005). ...
... Foremost among these diverging predictions is the idea from the quantum model that decision making is a constructive process, where taking a cognitive measurement by making a choice creates rather than simply records the state of a cognitive system. This aligns with the long-standing but mathematically informal theory in the decisionmaking literature that choice is a constructive process that requires a person to generate a new cognitive state in order to respond in decision scenarios (Ariely & Norton, 2008;Lichtenstein & Slovic, 2006;Payne et al., 1992;Slovic, 1995). The effect of this measurement process is illustrated in experiments like the choice-confidence paradigm, which F I G U R E 8 Pattern of mean preference strength elicited at different time points following a decision (choice) or irrelevant button press (no-choice). ...
Preprint
What kind of dynamic decision process do humans use to make decisions? In this article, two different types of processes are reviewed and compared: Markov and quantum. Markov processes are based on the idea that at any given point in time a decision maker has a definite and specific level of support for available choice alternatives, and the dynamic decision process is represented by a single trajectory that traces out a path across time. When a response is requested, a person's decision or judgment is generated from the current location along the trajectory. By contrast, quantum processes are founded on the idea that a person's state can be represented by a superposition over different degrees of support for available choice options, and that the dynamics of this state form a wave moving across levels of support over time. When a response is requested, a decision or judgment is constructed out of the superposition by 'actualizing' a specific degree or range of degrees of support to create a definite state. The purpose of this article is to introduce these two contrasting theories, review empirical studies comparing the two theories, and identify conditions that determine when each theory is more accurate and useful than the other.
... This read-out assumption bears a striking resemblance to the assumption in economic models that preferences and beliefs are revealed by the choices people make (McFadden, Machina, & Baron, 1999;Samuelson, 1938). Yet decades of research from judgment and decision making and behavioral economics suggests that preferences are not revealed by the choices people make, but rather constructed by the process of generating a response like a choice (Ariely & Norton, 2008;Lichtenstein & Slovic, 2006;Payne, Bettman, & Johnson, 1992;Slovic, 1995). This construction of preference is typically understood as the result of people selecting a specific procedure from a larger repertoire of possible strategies to formulate a response (Gigerenzer et al., 1999;Hertwig et al., 2019;Payne, Bettman, & Johnson, 1993;Tversky, Sattath, & Slovic, 1988), or the dynamic nature of information accumulation that adjusts preferences over time (Busemeyer & Townsend, 1993;Johnson & Busemeyer, 2005). ...
... Foremost among these diverging predictions is the idea from the quantum model that decision making is a constructive process, where taking a cognitive measurement by making a choice creates rather than simply records the state of a cognitive system. This aligns with the long-standing but mathematically informal theory in the decisionmaking literature that choice is a constructive process that requires a person to generate a new cognitive state in order to respond in decision scenarios (Ariely & Norton, 2008;Lichtenstein & Slovic, 2006;Payne et al., 1992;Slovic, 1995). The effect of this measurement process is illustrated in experiments like the choice-confidence paradigm, which F I G U R E 8 Pattern of mean preference strength elicited at different time points following a decision (choice) or irrelevant button press (no-choice). ...
Article
Full-text available
What kind of dynamic decision process do humans use to make decisions? In this article, two different types of processes are reviewed and compared: Markov and quantum. Markov processes are based on the idea that at any given point in time a decision maker has a definite and specific level of support for available choice alternatives, and the dynamic decision process is represented by a single trajectory that traces out a path across time. When a response is requested, a person's decision or judgment is generated from the current location along the trajectory. By contrast, quantum processes are founded on the idea that a person's state can be represented by a superposition over different degrees of support for available choice options, and that the dynamics of this state form a wave moving across levels of support over time. When a response is requested, a decision or judgment is constructed out of the superposition by "actualizing" a specific degree or range of degrees of support to create a definite state. The purpose of this article is to introduce these two contrasting theories , review empirical studies comparing the two theories, and identify conditions that determine when each theory is more accurate and useful than the other.
... Finally, even when participants are asked the same question, such as how attractive a face is, the instructions are sometimes different, with some implying personal attraction and potential mating desire for the person depicted (Kocsor et al., 2013) and others ignoring it (Chatterjee et al., 2009). While it is the case that different types of measures are strongly related, such as interval ratings being predictive of choice (Lopez-Persem et al., 2020), it is possible that one can influence the other (see Ariely & Norton, 2008;Izuma et al., 2010), and even when different questions lead to highly correlated ratings, such as pleasure and beauty , the relationship is rarely perfect. All in all, given that only a few studies have investigated such differences, it is important to take these considerations in mind when interpreting results from different studies. ...
Chapter
As one of the earliest domains of aesthetic experience to be studied systematically, there now exists a sizeable body of work on the behavioral basis and neural correlates of visual aesthetic appeal. Synthesizing work across approaches that seek to explain aesthetic preferences based on objectively measurable stimulus features or that emphasize individual differences and the importance of subjective factors, we adopt the view that aesthetic appeal arises from the interaction of a specific stimulus with the characteristics of a specific observer. Neuroscience research across a number of visual aesthetic domains, including faces, landscapes, architecture, artwork and dance reveals that several large-scale brain systems contribute to visual aesthetic appreciation. In the visual system, judgments of visual appeal are determined more by higher-level visual processing than low-level processing. Subcortically, both ventral and dorsal striatum, as well as the amygdala have been implicated in judgments of aesthetic appeal. A large number of studies using a variety of methods have found correlates of aesthetic appeal in prefrontal cortex, most prominently in medial prefrontal and orbital cortex. Other regions, including inferior frontal gyrus and the insula may also play a role for at least some domains, and there is evidence that the default-mode network, a brain system thought to support aspects of internally directed mentation, is engaged for highly moving artworks. While the question of ‘why’ particular individuals like particular images remains largely unanswered, we argue for a perspective that deemphasizes the role of specific visual features and focuses instead on the potential for aesthetic appeal to signal the presence of learnable information, linking visual aesthetic appeal to the intrinsic motivation to make sense of our visual world.
... Extensive evidence from behavioral and brain-imaging studies indicates that choosing an option increases its subjective value (Ariely & Norton, 2008;Brehm, 1956;Izuma et al., 2010;Sharot et al., 2009Sharot et al., , 2010. Nevertheless, it is less clear whether choosing which information to sample also increases the subjective value of information, boosting curiosity. ...
Article
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In our connected era, we spend significant time and effort satisfying our curiosity. Often, we choose which information we seek, but sometimes the selection is made for us. We hypothesized that humans exhibit enhanced curiosity in the context of choice. We designed a task in which healthy participants saw two lotteries on each trial. On some trials, participants chose which lottery to play. On other trials, the lottery was selected for them. Participants then indicated their curiosity about the outcome of the to-be-played lottery via self-report ratings (Experiment 1, N = 34) or willingness-to-wait decisions (Experiment 2, N = 34). We found that participants exhibited higher curiosity ratings and greater willingness to wait for the outcome of lotteries they had chosen than for lotteries that had been selected for them (controlling for initial preference). This demonstrates that choice boosts curiosity, which may have implications for boosting learning, memory, and motivation.
... In agreement with the retrospective decision-making model, Ariely and Norton (2008) summarize in a review that actions can shape preferences for a course of action rather than individuals deciding based on pre-existing preferences. The perception and handling of risk will also affect decision-making (Slovic et al., 2005;Kang-Camerer, 2018). ...
... If an iterative machine learning algorithm is used, it becomes difficult to know whether the recommender system has learned about its users, whether the users have changed, or whether the system has taught users to behave in ways that maximizes the objective function . This becomes more difficult because of the bidirectional causal relationship between behaviour and preferences Ariely and Norton [2008]. A recommender system trained to maximise user 'engagement' has an incentive to change users' preferences [Everitt et al. 2021]. ...
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Iterative machine learning algorithms used to power recommender systems often change people's preferences by trying to learn them. Further a recommender can better predict what a user will do by making its users more predictable. Some preference changes on the part of the user are self-induced and desired whether the recommender caused them or not. This paper proposes that solutions to preference manipulation in recommender systems must take into account certain meta-preferences (preferences over another preference) in order to respect the autonomy of the user and not be manipulative.
... If choice perseverance accounts for the pursuit of hard-toget targets, are scientists and stalkers coasting on unattractive targets? Many studies have reported that choice per se increases the preference for a chosen target (Brehm, 1956;Ariely and Norton, 2008;Sharot et al., 2009;Izuma and Murayama, 2013;Cockburn et al., 2014;Schonberg et al., 2014;Koster et al., 2015;Nakao et al., 2016;Hornsby and Love, 2020). Through this choice-induced reevaluation, the chosen target becomes more preferred, which often leads an individual to choose the same option again. ...
Article
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People sometimes persistently pursue hard-to-get targets. Why people pursue such targets is unclear. Here, we hypothesized that choice perseverance, which is the tendency to repeat the same choice independent of the obtained outcomes, leads individuals to repeatedly choose a hard-to-get target, which consequently increases their preference for the target. To investigate this hypothesis, we conducted an online experiment involving an avatar choice task in which the participants repeatedly selected one avatar, and the selected avatar expressed their valence reactions through facial expressions and voice. We defined “hard-to-get” and “easy-to-get” avatars by manipulating the outcome probability such that the hard-to-get avatars rarely provided a positive reaction when selected, while the easy-to-get avatars frequently did. We found that some participants repeatedly selected hard-to-get avatars (Pursuit group). Based on a simulation, we found that higher choice perseverance accounted for the pursuit of hard-to-get avatars and that the Pursuit group had significantly higher choice perseverance than the No-pursuit group. Model fitting to the choice data also supported that choice perseverance can account for the pursuit of hard-to-get avatars in the Pursuit group. Moreover, we found that although baseline attractiveness was comparable among all avatars used in the choice task, the attractiveness of the hard-to-get avatars was significantly increased only in the Pursuit group. Taken together, we conclude that people with high choice perseverance pursue hard-to-get targets, rendering such targets more attractive. The tolerance for negative outcomes might be an important factor for succeeding in our lives but sometimes triggers problematic behavior, such as stalking. The present findings may contribute to understanding the psychological mechanisms of passion and perseverance for one’s long-term goals, which are more general than the romantic context imitated in avatar choice.
... In traditional economic theory, consumer behavior implies a rational decision aimed at maximizing personal gain and utility (Samuelson, 1938). It is a well-accepted idea that utility is a driving force for some human behavior, especially consumer behavior (Ariely & Norton, 2008). This means that the decision to purchase a product would be determined from the estimated advantages that the purchased item provides to the consumer. ...
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Many studies suggest that specific movements or postures with shared social meaning can influence mainly verbal stimuli evaluation. On the other hand, several visuospatial biases can interact with this influence. Thus, we tested whether both head and stimuli movements can influence individual attitude towards food pictures. In two experiments, we used images of common foods with a weak positive valence in association with two kinds of movements. In Experiment 1, head movement was induced by presenting food pictures with a vertical or horizontal continuous movement on a computer screen. Conversely, Experiment 2 was conducted to test the effects of participants' own head movements with respect to the same food pictures presented in a fixed position. In neither case did head movements influence product evaluation. However, Experiment 1 revealed that the continuous movement left-right-left in the horizontal condition improved the desire to buy and eat, as well as the willingness to pay for the product shown. Experiments 3 and 4 demonstrated, respectively, that this effect disappears if the stimulus does not make the return direction, and that it does not depend on the starting or final placement of the images on the screen. These findings are discussed in the context of embodied cognition and visuospatial bias theories.
... The psychological study also explored how people determine their self-identity from observing their behaviour [16,26]. A classic experimental study by Bem and McConnell [27] showed that individuals developed new attitudes based on inferencing about recent behaviour. ...
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Research has shown that the extent to which previous environmental actions are linked to people’s environmental self-identity influences subsequent environmentally-friendly behaviour. The study empirically examined the influences of recycling efforts on subsequent pro-environmental behaviour by PLS (partial least squares) structural equation modelling based on the survey data of 426 respondents in China. The results indicate that recycling efforts have a positive effect on pro-environmental behaviour through the mechanism of feelings of pride and environmental self-identity. We hypothesise that past pro-environmental behaviour is more likely to promote an individual’s environmental self-identity when the behaviour is incurred with a higher costliness. However, the results show that only when individuals autonomously perform costly recycling behaviour, the signalling strength of previous recycling efforts is higher to promote environmental self-identity. On the contrary, the high costliness weakens the signalling strength of previous recycling efforts through producing negative emotions. Our results show that when reminding people of their past pro-environmental behaviour in order to promote future pro-environmental behaviour, it is useful to emphasize the autonomously taken costliness of behaviour as it can strongly signal that one is a pro-environmental person, thus as to strengthen environmental self-identity.
... Next to its prominent role in health and well-being, autonomy is also important from a psychological perspective because it bears implications for subsequent choices. That is, research has shown that autonomous choice generally influences whether the decision maker will make a similar decision in the future [26,27]. Considering that nudges are frequently used for guiding repeated decisions, which in and of themselves as isolated choices have little impact (e.g., decisions related to recycling, healthy eating, exercising), negative influences of nudged decisions on subsequent related decisions should be avoided [28]. ...
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Nudges have repeatedly been found to be effective, however they are claimed to harm autonomy, and it has been found that laypeople expect this too. To test whether these expectations translate to actual harm to experienced autonomy, three online studies were conducted. The paradigm used in all studies was that participants were asked to voluntarily participate in a longer version of the questionnaire. This was either done in a hypothetical setting, where participants imagined they were asked this question, but did not answer it, and reported their expectations for autonomy; Or in an actual choice setting where participants answered the question and then reported their actual autonomy. The first study utilized the hypothetical setting and tried to replicate that laypeople expect nudges to harm autonomy with the current paradigm. A total of 451 participants were randomly assigned to either a control, a default nudge, or a social norm nudge condition. In the default nudge condition, the affirmative answer was pre-selected, and in the social norm nudge condition it was stated that most people answered affirmative. The results showed a trend for lower expected autonomy in nudge conditions, but did not find significant evidence. In Study 2, with a sample size of 454, the same design was used in an actual choice setting. Only the default nudge was found to be effective, and no difference in autonomy was found. In Study 3, Studies 1 and 2 were replicated. Explanation of the nudge was added as an independent variable and the social norm nudge condition was dropped, resulting in six conditions and 1322 participants. The results showed that participants indeed expected default nudges to harm their autonomy, but only if the nudge was explained. When actually nudged, no effect on autonomy was found, independent of the presence of an explanation.
... Accuracy in VDM trials was defined based on the individual subjective ratings provided during the Rate I and Rate II task phases. It was not uncommon for individuals to change their valuation of some images after being forced to make a choice between them [the "choice-induced preferences effect" (57)]. However, large changes in the ratings of an image within a short period of time may indicate careless responses. ...
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Individuals with obsessive-compulsive disorder (OCD) often have difficulty making decisions. Valuation and value-based judgements are particularly difficult. The mechanisms underlying these impairments are still poorly understood. Previous work has suggested that individuals with OCD require more information prior to making a choice during perceptual discrimination tasks. Little previous work has examined value-guided choice in OCD. Here we examined perceptual and value-based decision making in adults with OCD, using a novel task in which the two types of decision are tested in parallel using the same individually calibrated sets of visual stimuli (Perceptual and Value-based decision-making task, PVDM). Twenty-seven unmedicated participants with OCD (16 female) and thirty-one healthy controls (15 female) were tested. Data were analyzed using hierarchical drift-diffusion modeling (HDDM). Decision formation was altered in OCD, but differentially between genders: males with OCD, but not females, accumulated more information (i.e., were more cautious) and were less effective in evidence accumulation than age- and IQ-matched healthy males. Furthermore, males with OCD, but not females, were less likely than controls to adjust the process of evidence accumulation across decision contexts. These unexpectedly gender-dimorphic effects suggest that more attention should be paid to gender differences in studies of OCD, and of pathophysiology more broadly.
... Altruistic self-concept motivates people to maintain and reinforce one's selfimage [30], put more emphasis on other-regarding behavior [31] and increases one's warmglow altruism [32,33]. To be specific, previous studies find that when primed with altruistic self-concept, prosocial individuals are persistently doing good and maintain their positive self-concept [34,35,36]. These studies attribute the phenomenon to the principle of moral reinforcement, which suggests that individuals will avoid experiencing the disutility of being dissonant with their established self-concept. ...
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We study experimentally the effect of personality traits on the willingness to make and keep a promise to volunteer. In our experiment, Amazon Mechanical Turk participants were given the option to volunteer by donating time and effort to a charity. They also answered a series of questionnaires, including the Big Five personality test and attitudinal questions that we used to construct an index representing altruistic self-concept. Self-concept refers to the way we describe and evaluate ourselves. We find that altruistic self-concept mediates how personality affects volunteering decisions. In particular, agreeableness has a strong influence on the probability of making and keeping promises to volunteer through its effect on altruistic self-concept. Our findings have useful implications for non-profit organizations.
... Importantly, behavior can also influence preferences(Ariely & Norton, 2008;Slovic, 1995). ...
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The well-known “high-choice news avoidance thesis” and the alternative “network structure perspective” stipulate somewhat conflicting expectations about news consumption in today’s digital media systems. Based on annual survey data from Norway, the article examines news avoidance from 1997–2016, a period when digitalization processes transformed the media environment. Results show that news avoidance increased only marginally. The decrease in use of traditional media is largely compensated for by online news. However, news avoidance is increasingly polarized along educational lines, and it is unclear to what degree online news consumption equals traditional news media consumption in qualitative terms.
... Self-perception (Bem, 1972;Freedman & Fraser, 1966) and consistency needs (Festinger, 1957;Festinger & Carlsmith, 1959;Thøgersen, 2004) appear to be partially responsible for positive spillovers. According to self-perception theory, engaging in an initial behavior changes one's self-perception as a certain type of person (e. g., an environmentalist), and this self-perception leads people to act in line with how such a person might behave (Ariely & Norton, 2008). ...
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Changing defaults—the preselection that becomes effective without active choice—is becoming a prominent policy tool, after having been proven to be effective in areas as varied as retirement savings, organ donation and product customization. Yet, little is known about how default effects spill over to subsequent similar behaviors. In an online shopping scenario, we found standard default effects on the share of organically produced products in the overall selection of products. These effects did not spill over to subsequent active shopping choices. This was true for defaults that were hard and easy to change (Exp. 1, N = 90), for immediate and delayed subsequent choices (Exp. 2, N = 106) and for self‐selected defaults (Exp. 3, N = 181). These findings suggest that the reach and scalability of default manipulations in policy making may be limited, but also speak against the possibility for negative spillover.
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In this chapter we provide an overview of the pharmacological and circuit mechanisms that determine the willingness to expend effort in pursuit of rewards. A particular focus will be on the role of the mesolimbic dopamine system, as well the contributing roles of limbic and cortical brains areas involved in the evaluation, selection, and invigoration of goal-directed actions. We begin with a review of preclinical studies, which have provided key insights into the brain systems that are necessary and sufficient for effort-based decision-making and have characterized novel compounds that enhance selection of high-effort activities. Next, we summarize translational studies identifying and expanding this circuitry in humans. Finally, we discuss the relevance of this work for understanding common motivational impairments as part of the broader anhedonia symptom domain associated with mental illness, and the identification of new treatment targets within this circuitry to improve motivation and effort-expenditure.
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Hayek’s seminal contribution to theoretical neurosciences, The Sensory Order (1952) remains neglected in current efforts at integrating the neurosciences, psychology and economics. I defend the view that Hayek presents the case for an evolutionary alternative to leading paradigms in the field and look at two in more detail: the good-based model in neuroeconomics and the dual systems approach in behavioural economics. In both cases, essential Hayekian insights remain valid in the context of modern neuroscience, allow for taking account of recent research, and sketch a dynamic and selectionist model of choice.
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Nudging is one of the strategies from behavioral economics that aims to influence behavior by changing the environment. We propose that it could also be a valuable means to influence behavior in educational contexts. However, implementation of nudging in education is yet sparse. We describe the relevant issues to consider when applying nudging in education, arguing that a focus on the long-term effects and underlying processes of a nudge is necessary for successful implementation. Then, we aim to facilitate this implementation of nudging in education by making a distinction between nudges that is relevant for overcoming these issues. Based on the framework proposed by Hansen and Jespersen (European Journal of Risk Regulation, 4(1), 3–28, 2013), we distinguish between Type 1 and Type 2 nudges, and transparent and non-transparent nudges, resulting in four nudge categories. For each of these nudge categories, we determine its suitability for different educational goals. The resulting decision matrix can help researchers and practitioners when designing nudges for an educational context.
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Publisher Summary Individuals come to “know” their own attitudes, emotions, and other internal states partially by inferring them from observations of their own overt behavior and/ or the circumstances in which this behavior occurs. Thus, to the extent that internal cues are weak, ambiguous, or uninterpretable, the individual is functionally in the same position as an outside observer, an observer who must necessarily rely upon those same external cues to infer the individual's inner states. This chapter traces the conceptual antecedents and empirical consequences of these propositions, attempts to place the theory in a slightly enlarged frame of reference, and clarifies just what phenomena the theory can and cannot account for in the rapidly growing experimental literature of self-attribution phenomena. Several experiments and paradigms from the cognitive dissonance literature are amenable to self-perception interpretations. But precisely because such experiments are subject to alternative interpretations, they cannot be used as unequivocal evidence for self-perception theory. The reinterpretation of cognitive dissonance phenomena and other self-perception phenomena have been discussed. The chapter highlights some differences between self-perception and interpersonal perception and shift of paradigm in social psychology. It discusses some unsolved problems, such as the conceptual status of noncognitive response classes and the strategy of functional analysis.
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This paper considers the role of reasons and arguments in the making of decisions. It is proposed that, when faced with the need to choose, decision makers often seek and construct reasons in order to resolve the conflict and justify their choice, to themselves and to others. Experiments that explore and manipulate the role of reasons are reviewed, and other decision studies are interpreted from this perspective. The role of reasons in decision making is considered as it relates to uncertainty, conflict, context effects, and normative decision rules.
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Despite substantial advances, the question of how we make decisions and judgments continues to pose important challenges for scientific research. Historically, different disciplines have approached this problem using different techniques and assumptions, with few unifying efforts made. However, the field of neuroeconomics has recently emerged as an inter-disciplinary effort to bridge this gap. Research in neuroscience and psychology has begun to investigate neural bases of decision predictability and value, central parameters in the economic theory of expected utility. Economics, in turn, is being increasingly influenced by a multiple-systems approach to decision-making, a perspective strongly rooted in psychology and neuroscience. The integration of these disparate theoretical approaches and methodologies offers exciting potential for the construction of more accurate models of decision-making.
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The brain circuitry processing rewarding and aversive stimuli is hypothesized to be at the core of motivated behavior. In this study, discrete categories of beautiful faces are shown to have differing reward values and to differentially activate reward circuitry in human subjects. In particular, young heterosexual males rate pictures of beautiful males and females as attractive, but exert effort via a keypress procedure only to view pictures of attractive females. Functional magnetic resonance imaging at 3 T shows that passive viewing of beautiful female faces activates reward circuitry, in particular the nucleus accumbens. An extended set of subcortical and paralimbic reward regions also appear to follow aspects of the keypress rather than the rating procedures, suggesting that reward circuitry function does not include aesthetic assessment.
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Reward processing involves both appetitive and consummatory phases. We sought to examine whether reward anticipation vs outcomes would recruit different regions of ventral forebrain circuitry using event-related fMRI. Nine healthy volunteers participated in a monetary incentive delays task in which they either responded to a cued target for monetary reward, responded to a cued target for no reward, or did not respond to a cued target during scanning. Multiple regression analyses indicated that while anticipation of reward vs non-reward activated foci in the ventral striatum, reward vs non-reward outcomes activated foci in the ventromedial frontal cortex. These findings suggest that reward anticipation and outcomes may differentially recruit distinct regions that lie along the trajectory of ascending dopamine projections.
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Using event-related fMRI we investigated the rewarding properties of cultural objects (cars) signaling wealth and social dominance. It has been shown recently that reward mechanisms are involved in the regulation of social relations like dominance and social rank. Based on evolutionary considerations we hypothesized that sports cars in contrast to other categories of cars, e.g. limousines and small cars, are strong social reinforcers and would modulate the dopaminergic reward circuitry. Twelve healthy male subjects were studied with fMRI while viewing photographs of different car classes followed by an attractivity rating. Behaviorally sports cars were rated significantly more attractive than limousines and small cars. Our fMRI results revealed significantly more activation in ventral striatum, orbitofrontal cortex, anterior cingulate and occipital regions for sports cars in contrast to other categories of cars. We could thus demonstrate that artificial cultural objects associated with wealth and social dominance elicit activation in reward-related brain areas.
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Advances in neurobiology permit neuroscientists to manipulate specific brain molecules, neurons and systems. This has lead to major advances in the neuroscience of reward. Here, it is argued that further advances will require equal sophistication in parsing reward into its specific psychological components: (1) learning (including explicit and implicit knowledge produced by associative conditioning and cognitive processes); (2) affect or emotion (implicit 'liking' and conscious pleasure) and (3) motivation (implicit incentive salience 'wanting' and cognitive incentive goals). The challenge is to identify how different brain circuits mediate different psychological components of reward, and how these components interact.
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Tested the hypothesis that the greater the inducement offered for performing a counterattitudinal task, the greater the dissonance-if the individuals choose not to comply with the attitude-discrepant request. If was predicted that dissonance aroused by noncompliance would be reduced by a strengthening of the original attitude. 20 undergraduates were offered either a high or a low incentive ($1.50 or $.50) for writing an essay advocating the use of codes of dress in secondary schools. The situation was devised in such a way that all Ss chose not to write the essay. Results of an attitude questionnaire indicate that high incentive Ss became more strongly opposed to dress code regulations than either the low incentive group or a control group (n = 10).
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It is suggested that emotional states may be considered a function of a state of physiological arousal and of a cognition appropriate to this state of arousal. From this follows these propositions: (a) Given a state of physiological arousal for which an individual has no immediate explanation, he will label this state and describe his feelings in terms of the cognitions available to him (b) Given a state of physiological arousal for which an individual has a completely appropriate explanation, no evaluative needs will arise and the individual is unlikely to label his feelings in terms of the alternative cognitions available. (c) Given the same cognitive circumstances, the individual will react emotionally or describe his feelings as emotions only to the extent that he experiences a state of physiological arousal. An experiment is described which, together with the results of other studies, supports these propositions.
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Coca-Cola (Coke) and Pepsi are nearly identical in chemical composition, yet humans routinely display strong subjective preferences for one or the other. This simple observation raises the important question of how cultural messages combine with content to shape our perceptions; even to the point of modifying behavioral preferences for a primary reward like a sugared drink. We delivered Coke and Pepsi to human subjects in behavioral taste tests and also in passive experiments carried out during functional magnetic resonance imaging (fMRI). Two conditions were examined: (1) anonymous delivery of Coke and Pepsi and (2) brand-cued delivery of Coke and Pepsi. For the anonymous task, we report a consistent neural response in the ventromedial prefrontal cortex that correlated with subjects' behavioral preferences for these beverages. In the brand-cued experiment, brand knowledge for one of the drinks had a dramatic influence on expressed behavioral preferences and on the measured brain responses.
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This review outlines recent findings from human neuroimaging concerning the role of a highly interconnected network of brain areas including orbital and medial prefrontal cortex, amygdala, striatum and dopaminergic mid-brain in reward processing. Distinct reward-related functions can be attributed to different components of this network. Orbitofrontal cortex is involved in coding stimulus reward value and in concert with the amygdala and ventral striatum is implicated in representing predicted future reward. Such representations can be used to guide action selection for reward, a process that depends, at least in part, on orbital and medial prefrontal cortex as well as dorsal striatum.
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This research explored cases where people are drawn to make judgments between individuals based on questionable criteria, in particular those individuals' social group memberships. We suggest that individuals engage in casuistry to mask biased decision making, by recruiting more acceptable criteria to justify such decisions. We present 6 studies that demonstrate how casuistry licenses people to judge on the basis of social category information but appear unbiased--to both others and themselves--while doing so. In 2 domains (employment and college admissions decisions), with 2 social categories (gender and race), and with 2 motivations (favoring an in-group or out-group), the present studies explored how participants justify decisions biased by social category information by arbitrarily inflating the relative value of their preferred candidates' qualifications over those of competitors.
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Hedonic experience is arguably at the heart of what makes us human. In recent neuroimaging studies of the cortical networks that mediate hedonic experience in the human brain, the orbitofrontal cortex has emerged as the strongest candidate for linking food and other types of reward to hedonic experience. The orbitofrontal cortex is among the least understood regions of the human brain, but has been proposed to be involved in sensory integration, in representing the affective value of reinforcers, and in decision making and expectation. Here, the functional neuroanatomy of the human orbitofrontal cortex is described and a new integrated model of its functions proposed, including a possible role in the mediation of hedonic experience.
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To make a decision, a system must assign value to each of its available choices. In the human brain, one approach to studying valuation has used rewarding stimuli to map out brain responses by varying the dimension or importance of the rewards. However, theoretical models have taught us that value computations are complex, and so reward probes alone can give only partial information about neural responses related to valuation. In recent years, computationally principled models of value learning have been used in conjunction with noninvasive neuroimaging to tease out neural valuation responses related to reward-learning and decision-making. We restrict our review to the role of these models in a new generation of experiments that seeks to build on a now-large body of diverse reward-related brain responses. We show that the models and the measurements based on them point the way forward in two important directions: the valuation of time and the valuation of fictive experience.
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Prospect theory, loss aversion, mental accounts, hyperbolic discounting, cues, and the endowment effect can all be seen as examples of situationalism -- the view that people isolate decisions and overweight immediate aspects of the situation relative to longer term concerns. But outside of the laboratory, emotionally-powerful situational factors -- frames, social influence, mental accounts -- are almost always endogenous and often the result of self-interested entrepreneurs. As such, laboratory work and, indeed, psychology more generally, gives us little guidance as to market outcomes. Economics provides a stronger basis for understanding the supply of emotionally-relevant situational variables. Paradoxically situationalism actually increases the relative importance of economics.
The Adaptive Decision Maker Reason-based choice
  • J W Payne
Payne, J.W. et al. (1993) The Adaptive Decision Maker, Cambridge University Press 8 Shafir, E. et al. (1993) Reason-based choice. Cognition 49, 11-36
An Introduction to the Principle of Morals and Legislations (1789 Back to Bentham? Explorations of experienced utility
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Bentham, J. (1948) An Introduction to the Principle of Morals and Legislations (1789), Blackwell 2 Kahneman, D. et al. (1997) Back to Bentham? Explorations of experienced utility. Q. J. Econ. 112, 375-405
Self-signaling and diagnostic utility in everyday decision making In Collected Essays in Psychology and Economics (Brocas, I. and Carillo Failure to detect mismatches between intention and outcome in a simple decision task
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The illusion of conscious will Neuroeconomics: how neuroscience can inform economics
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Wegner, D.M. (2002) The illusion of conscious will, MIT Press 24 Camerer, C. et al. (2005) Neuroeconomics: how neuroscience can inform economics. J. Econ. Lit. 43, 9-64
Cultural objects modulate reward circuitry
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Neurons in the orbitofrontal cortex encode economic value
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The human orbitofrontal cortex: linking reward to hedonic experience
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