bluuebunny/crossref_metadata_2025_split huggingface dataset:
Naturalness judgments by lay Americans: Process dominates content in judgments of food or water acceptability and naturalness
Authors: Rozin Paul 
Published: January 2023

AbstractThis study directly tests the hypothesis that, at least within the domains of food and drink for Americans, the judgment of naturalness has more to do with the history of an object, that is the processes that it has undergone, as opposed to its material content. Individuals rate the naturalness and acceptability of a natural entity (water or tomato paste), that same entity with a first transformation in which a natural substance is added (or some part removed), and then a second transformation in which the natural additive is removed (or the removed part is replaced). The twice transformed entity is stipulated to be identical to the original natural entity, yet it is rated much less natural and less acceptable. It differs from the original entity only in its history (the reversed processes it has experienced). The twice transformed entity is also rated as less natural than the once-transformed entity, even though the former is identical to the original natural entity, and the latter is not. Therefore, naturalness depends heavily on the process-history of an entity.
“Decisions from experience” = sampling error + prospect theory: Reconsidering Hertwig, Barron, Weber & Erev (2004)
Authors: Fox Craig R. , Hadar Liat 
Published: January 2023

AbstractAccording to prospect theory, people overweight low probability events and underweight high probability events. Several recent papers (notably, Hertwig, Barron, Weber & Erev, 2004) have argued that although this pattern holds for “description-based” decisions, in which people are explicitly provided with probability distributions over potential outcomes, it is actually reversed in “experience-based” decisions, in which people must learn these distributions through sampling. We reanalyze the data of Hertwig et al. (2004) and present a replication to determine the extent to which their phenomenon can be attributed to sampling error (a statistical rather than psychological phenomenon) versus underestimation of rare events (i.e., judgmental bias) versus actual underweighting of judged probabilities. We find that the apparent reversal of prospect theory in decisions from experience can be attributed almost entirely to sampling error, and are consistent with prospect theory and the two-stage model of decision under uncertainty (Fox & Tversky, 1998).
Amos Tversky’s contributions to legal scholarship: Remarks at the BDRM session in honor of Amos Tversky, June 16, 2006
Authors: Brest Paul 
Published: January 2023

AbstractTogether with his long-time colleague Daniel Kahneman, Amos Tversky, provided the intellectual infrastructure for contemporary behavioral law and economics. Prospect theory undermines the Coase Theorem, which is the bedrock of traditional law and economics; and the heuristics and biases research questions the fundamental idea of a rational self-interested decisionmaker, which is also challenged by subsequent studies of the role of affect in judgment and decisionmaking.
Challenging some common beliefs: Empirical work within the adaptive toolbox metaphor
Authors: Bröder Arndt , Newell Ben R. 
Published: January 2023

AbstractThe authors review their own empirical work inspired by the adaptive toolbox metaphor. The review examines factors influencing strategy selection and execution in multi-attribute inference tasks (e.g., information costs, time pressure, memory retrieval, dynamic environments, stimulus formats, intelligence). An emergent theme is the re-evaluation of contingency model claims about the elevated cognitive costs of compensatory in comparison with non-compensatory strategies. Contrary to common assertions about the impact of cognitive complexity, the empirical data suggest that manipulated variables exert their influence at the meta-level of deciding how to decide (i.e., which strategy to select) rather than at the level of strategy execution. An alternative conceptualisation of strategy selection, namely threshold adjustment in an evidence accumulation model, is also discussed and the difficulty in distinguishing empirically between these metaphors is acknowledged.
The importance of learning when making inferences
Authors: Rieskamp Jörg 
Published: January 2023

AbstractThe assumption that people possess a repertoire of strategies to solve the inference problems they face has been made repeatedly. The experimental findings of two previous studies on strategy selection are reexamined from a learning perspective, which argues that people learn to select strategies for making probabilistic inferences. This learning process is modeled with the strategy selection learning (SSL) theory, which assumes that people develop subjective expectancies for the strategies they have. They select strategies proportional to their expectancies, which are updated on the basis of experience. For the study by Newell, Weston, and Shanks (2003) it can be shown that people did not anticipate the success of a strategy from the beginning of the experiment. Instead, the behavior observed at the end of the experiment was the result of a learning process that can be described by the SSL theory. For the second study, by Bröder and Schiffer (2006), the SSL theory is able to provide an explanation for why participants only slowly adapted to new environments in a dynamic inference situation. The reanalysis of the previous studies illustrates the importance of learning for probabilistic inferences.
An ecological perspective to cognitive limits: Modeling environment-mind interactions with ACT-R
Authors: Gaissmaier Wolfgang , Schooler Lael J. , Mata Rui 
Published: January 2023

AbstractContrary to the common belief that more information is always better, Gigerenzer et al. (1999) showed that simple decision strategies which rely on little information can be quite successful. The success of simple strategies depends both on bets about the structure of the environment and on the core capacities of the human mind, such as recognition memory (Gigerenzer, 2004). However, the interplay between the environment and the mind’s core capacities has rarely been precisely modeled. We illustrate how these environment-mind interactions could be formally modeled within the cognitive architecture ACT-R (J. R. Anderson et al., 2004). ACT-R is an integrated theory of mind that is tuned to the statistical structure of the environment, and it can account for a variety of phenomena such as learning, problem solving, and decision making. Here, we focus on studying decision strategies and show how the success of theses strategies in particular environments depends on characteristics of core cognitive capacities, such as recognition and short term memory.
Disentangling the effects of alternation rate and maximum run length on judgments of randomness
Authors: Scholl Sabine G. , Greifeneder Rainer 
Published: January 2023

AbstractBinary sequences are characterized by various features. Two of these characteristics—alternation rate and run length—have repeatedly been shown to influence judgments of randomness. The two characteristics, however, have usually been investigated separately, without controlling for the other feature. Because the two features are correlated but not identical, it seems critical to analyze their unique impact, as well as their interaction, so as to understand more clearly what influences judgments of randomness. To this end, two experiments on the perception of binary sequences orthogonally manipulated alternation rate and maximum run length (i.e., length of the longest run within the sequence). Results show that alternation rate consistently exerts a unique effect on judgments of randomness, but that the effect of alternation rate is contingent on the length of the longest run within the sequence. The effect of maximum run length was found to be small and less consistent. Together, these findings extend prior randomness research by integrating literature from the realms of perception, categorization, and prediction, as well as by showing the unique and joint effects of alternation rate and maximum run length on judgments of randomness.
Coherence and correspondence in engineering design: informing the conversation and connecting with judgment and decision-making research
Authors: Katsikopoulos Konstantinos V. 
Published: January 2023

AbstractI show how the coherence/correspondence distinction can inform the conversation about decision methods for engineering design. Some engineers argue for the application of multi-attribute utility theory while others argue for what they call heuristics. To clarify the differences among methods, I first ask whether each method aims at achieving coherence or correspondence. By analyzing statements in the design literature, I argue that utility theory aims at achieving coherence and heuristics aim at achieving correspondence. Second, I ask if achieving coherence always implies achieving correspondence. It is important to provide an answer because while in design the objective is correspondence, it is difficult to assess it, and coherence that is easier to assess is used as a surrogate. I argue that coherence does not always imply correspondence in design and that this is also the case in problems studied in judgment and decision-making research. Uncovering the conditions under which coherence implies, or does not imply, correspondence is a topic where engineering design and judgment and decision-making research might connect.
Decision making under hypoxia: Oxygen depletion increases risk seeking for losses but not for gains
Authors: Pighin Stefania , Bonini Nicolao , Savadori Lucia , Hadjichristidis Constantinos , Antonetti Tommaso , Schena Federico 
Published: January 2023

AbstractWe report a preliminary study that compared decisions made in an oxygen depleted environment with those made in a normoxic environment. Participants were presented with a series of choices that involved either losses or gains. For each choice they were forced to choose between a sure thing and a gamble of the same expected value. For choices involving losses, participants were more risk seeking in the oxygen depleted environment; for those involving gains, no difference was found.
Belief bias and representation in assessing the Bayesian rationality of others
Authors: Anderson Richard B. , Leventhal Laura Marie , Zhang Don C. , Fasko Daniel , Basehore Zachariah , Gamsby Christopher , Branch Jared , Patrick Timothy 
Published: January 2023

AbstractPeople often assess the reasonableness of another person’s judgments. When doing so, the evaluator should set aside knowledge that would not have been available to the evaluatee to assess whether the evaluatee made a reasonable decision, given the available information. But under what circumstances does the evaluator set aside information? On the one hand, if the evaluator fails to set aside prior information, not available to the evaluatee, they exhibit belief bias. But on the other hand, when Bayesian inference is called for, the evaluator should generally incorporate prior knowledge about relevant probabilities in decision making. The present research integrated these two perspectives in two experiments. Participants were asked to take the perspective of a fictitious evaluatee and to evaluate the reasonableness of the evaluatee’s decision. The participant was privy to information that the fictitious evaluatee did not have. Specifically, the participant knew whether the evaluatee’s decision judgment was factually correct. Participants’ judgments were biased (Experiments 1 and 2) by the factuality of the conclusion as they assessed the evaluatee’s reasonableness. We also found that the format of information presentation (Experiment 2) influenced the degree to which participants’ reasonableness ratings were responsive to the evaluatee’s Bayesian rationality. Specifically, responsivity was greater when the information was presented in an icon-based, graphical, natural-frequency format than when presented in either a numerical natural-frequency format or a probability format. We interpreted the effects of format to suggest that graphical presentation can help organize information into nested sets, which in turn enhances Bayesian rationality.
Welfare effects of nudges: The emotional tax of calorie menu labeling
Authors: Thunström Linda 
Published: January 2023

AbstractTraditionally, information has been assumed to never harm consumers, a notion recently challenged. Salience nudges have been argued to evoke negative emotions, therefore acting as “emotional taxes”. I design a hypothetical restaurant meal experiment to analyze the emotional and short-term consumer welfare impact of a calorie salience nudge (calorie menu labeling) – a policy implemented nationwide in the U.S. in 2018. I find that a calorie salience nudge may act as an emotional tax, but only for some – there is considerable heterogeneity in the emotional response to the nudge. In particular, the nudge emotionally taxes people with low eating self-control, while it emotionally subsidizes those with higher levels of eating self-control. It therefore emotionally taxes the “right” people. However, people with lower levels of self-control may experience fewer benefits from the nudge – the nudge causes them to adjust their high calorie meal consumption by less than do those with higher self-control. It is therefore unsurprising that consumers with lower self-control attach a lower (a negative) value to the calorie salience nudge. Overall, the calorie salience nudge positively affects consumer welfare, although heterogeneity over consumers is substantial – the consumer value ranges from positive to negative. I find no distributional effects over income from the calorie salience nudge.
Thinking dispositions and cognitive reflection performance in schizotypy
Authors: Broyd Annabel , Ettinger Ulrich , Thoma Volker 
Published: January 2023

AbstractSchizotypy refers to the continuum of normal variability of psychosis-like characteristics and experiences, often classified as positive schizotypy (‘unusual experiences’; UE) and negative schizotypy (‘introvertive anhedonia’; IA). Here, we investigated the link between schizotypy and cognitive processing style and performance. A particular focus was on whether schizotypy is associated more with Type 1 (automatic/heuristic) than Type 2 (reflective/effortful) processes, as may be expected from findings of impaired top-down control in schizophrenia. A large sample (n = 1,512) completed online measures pertaining to schizotypy (Oxford-Liverpool Inventory for Feelings and Experiences; O-LIFE), thinking style (Rational Experiential Inventory-10, Actively Open-Minded Thinking Scale), and reasoning performance (Cognitive Reflection Test). Higher positive (UE) and negative (IA) schizotypy were associated with more pronounced Type 1 processing, i.e. greater self-reported Faith in Intuition (FI), lower Need for Cognition (NFC), lower Actively Open-Minded Thinking (AOT), and lower cognitive reflection test (CRT) scores. Canonical correlation analysis confirmed a significant association between UE and increased FI, lower AOT and lower CRT performance, accounting for 12.38% of the shared variance between schizotypy and thinking dispositions. IA was more highly associated with reduced NFC. These findings suggest that schizotypy may be associated with similar thinking dispositions to those reported in psychosis, with different patterns of associations for positive and negative schizotypy. This result informs research on reasoning processes in psychosis and has clinical implications, including potential treatment targets and refinements for cognitive therapies.
Information search with situation-specific reward functions
Authors: Meder Björn , Nelson Jonathan D. 
Published: January 2023

AbstractThe goal of obtaining information to improve classification accuracy can strongly conflict with the goal of obtaining information for improving payoffs. Two environments with such a conflict were identified through computer optimization. Three subsequent experiments investigated people’s search behavior in these environments. Experiments 1 and 2 used a multiple-cue probabilistic category-learning task to convey environmental probabilities. In a subsequent search task subjects could query only a single feature before making a classification decision. The crucial manipulation concerned the search-task reward structure. The payoffs corresponded either to accuracy, with equal rewards associated with the two categories, or to an asymmetric payoff function, with different rewards associated with each category. In Experiment 1, in which learning-task feedback corresponded to the true category, people later preferentially searched the accuracy-maximizing feature, whether or not this would improve monetary rewards. In Experiment 2, an asymmetric reward structure was used during learning. Subjects searched the reward-maximizing feature when asymmetric payoffs were preserved in the search task. However, if search-task payoffs corresponded to accuracy, subjects preferentially searched a feature that was suboptimal for reward and accuracy alike. Importantly, this feature would have been most useful, under the learning-task payoff structure. Experiment 3 found that, if words and numbers are used to convey environmental probabilities, neither reward nor accuracy consistently predicts search. These findings emphasize the necessity of taking into account people’s goals and search-and-decision processes during learning, thereby challenging current models of information search.
Decision theory as an aid to private choice
Authors: Brown Rex V. 
Published: January 2023

AbstractA wise decider D uses the contents of his mind fully, accurately and efficiently. D’sidealdecisions, i.e., those that best serve his interests, would be embedded in a comprehensive set of totally coherent judgments lodged in his mind. They would conform to the norms of statistical decision theory, which extracts quantitative judgments of fact and value from D’s mind contents and checks them for coherence. However, the most practical way for D to approximate his ideal may not be with models that embody those norms, i.e., with applied decision theory (ADT). In practice, ADT can represent only some of D’s judgments and those imperfectly. Quite different decision aid, including intuition, pattern recognition and cognitive vigilance (especially combined), typically outperform feasible ADT models—with some notable exceptions. However, decision theory training benefits D’sinformaldecisions. ADT, both formal and informal, should become increasingly useful and widespread, as technical, cultural and institutional impediments are overcome.
On making the right choice: A meta-analysis and large-scale replication attempt of the unconscious thought advantage
Authors: Nieuwenstein Mark R. , Wierenga Tjardie , Morey Richard D. , Wicherts Jelte M. , Blom Tesse N. , Wagenmakers Eric-Jan , van Rijn Hedderik 
Published: January 2023

AbstractAre difficult decisions best made after a momentary diversion of thought? Previous research addressing this important question has yielded dozens of experiments in which participants were asked to choose the best of several options (e.g., cars or apartments) either after conscious deliberation, or after a momentary diversion of thought induced by an unrelated task. The results of these studies were mixed. Some found that participants who had first performed the unrelated task were more likely to choose the best option, whereas others found no evidence for this so-called unconscious thought advantage (UTA). The current study examined two accounts of this inconsistency in previous findings. According to the reliability account, the UTA does not exist and previous reports of this effect concern nothing but spurious effects obtained with an unreliable paradigm. In contrast, the moderator account proposes that the UTA is a real effect that occurs only when certain conditions are met in the choice task. To test these accounts, we conducted a meta-analysis and a large-scale replication study (N = 399) that met the conditions deemed optimal for replicating the UTA. Consistent with the reliability account, the large-scale replication study yielded no evidence for the UTA, and the meta-analysis showed that previous reports of the UTA were confined to underpowered studies that used relatively small sample sizes. Furthermore, the results of the large-scale study also dispelled the recent suggestion that the UTA might be gender-specific. Accordingly, we conclude that there exists no reliable support for the claim that a momentary diversion of thought leads to better decision making than a period of deliberation.
Psychological aspects of the rejection of recycled water: Contamination, purification and disgust
Authors: Rozin Paul , Haddad Brent , Nemeroff Carol , Slovic Paul 
Published: January 2023

AbstractThere is a worldwide and increasing shortage of potable fresh water. Modern water reclamation technologies can alleviate much of the problem by converting wastewater directly into drinking water, but there is public resistance to these approaches that has its basis largely in psychology. A psychological problem is encapsulated in the saying of those opposing recycled water: “toilet to tap.” We report the results of two surveys, one on a sample of over 2,000 Americans from five metropolitan areas and the second on a smaller sample of American undergraduates, both assessing attitudes to water and water purification. Approximately 13% of our adult American sample definitely refuses to try recycled water, while 49% are willing to try it, with 38% uncertain. Both disgust and contamination sensitivity predict resistance to consumption of recycled water. For a minority of individuals, no overt treatment of wastewater will make it acceptable for drinking (“spiritual contagion”), even if the resultant water is purer than drinking or bottled water. Tap water is reliably rated as significantly more desirable than wastewater that has undergone substantially greater purification than occurs with normal tap water. Framing and contagion are two basic psychological processes that influence recycled water rejection.
Tailored proper scoring rules elicit decision weights
Authors: Carvalho Arthur 
Published: January 2023

AbstractProper scoring rules are scoring methods that incentivize honest reporting of subjective probabilities, where an agent strictly maximizes his expected score by reporting his true belief. The implicit assumption behind proper scoring rules is that agents are risk neutral. Such an assumption is often unrealistic when agents are human beings. Modern theories of choice under uncertainty based on rank-dependent utilities assert that human beings weight nonlinear utilities using decision weights, which are differences between weighting functions applied to cumulative probabilities.In this paper, I investigate the reporting behavior of an agent with a rank-dependent utility when he is rewarded using a proper scoring rule tailored to his utility function. I show that such an agent misreports his true belief by reporting a vector of decision weights. My findings thus highlight the risk of utilizing proper scoring rules without prior knowledge about all the components that drive an agent’s attitude towards uncertainty. On the positive side, I discuss how tailored proper scoring rules can effectively elicit weighting functions. Moreover, I show how to obtain an agent’s true belief from his misreported belief once the weighting functions are known.