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OBJECTIVE: Algorithmic decision making (ADM) takes on increasingly complex tasks in the criminal justice system. Whereas new developments in machine learning could help to improve the quality of judicial decisions, there are legal and ethical concerns that thwart the widespread use of algorithms. Against the backdrop of current efforts to promote the digitization of the German judicial system, this research investigates motivational factors (pragmatic motives, fairness concerns, and self-image-related considerations) that drive or impede the acceptance of ADM in court. HYPOTHESES: We tested two hypotheses: (1) Perceived threat of inequality in legal judgments increases ADM acceptance, and (2) experts (judges) are more skeptical toward technological innovation than novices (general population). METHOD: We conducted a preregistered experiment with 298 participants from the German general population and 267 judges at regional courts in Bavaria to study how inequality threat (vs. control) relates to ADM acceptance in court, usage intentions, and attitudes. RESULTS: In partial support of the first prediction, inequality threat increased ADM acceptance, effect size d = 0.24, 95% confidence interval (CI) [0.01, 0.47], and usage intentions (d = 0.23, 95% CI [0.00, 0.46]) of laypeople. Unexpectedly, however, this was not the case for experts. Moreover, ADM attitudes remained unaffected by the experimental manipulation in both groups. As predicted, judges held more negative attitudes toward ADM than the general population (d = -0.71, 95% CI [-0.88, -0.54]). Exploratory analysis suggested that generalized attitudes emerged as the strongest predictor of judges' intentions to use ADM in their own court proceedings. CONCLUSIONS: These findings elucidate the motivational forces that drive algorithm aversion and acceptance in a criminal justice context and inform the ongoing debate about perceptions of fairness in human-computer interaction. Implications for judicial praxis and the regulation of ADM in the German legal framework are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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Previous research described different cognitive processes on how individuals process distributional information. Based on these processes, the current research uncovered a novel phenomenon in distribution perception: the Endpoint Leverage Effect. Subjective endpoints influence distribution estimations not only locally around the endpoint but also influence estimations across the whole value range of the distribution. The influence is largest close to the respective endpoint and decreases in size toward the opposite end of the value range. Three experiments investigate this phenomenon: Experiment 1 provides correlational evidence for the Endpoint Leverage Effect after presenting participants with a numerical distribution. Experiment 2 demonstrates the Endpoint Leverage Effect by manipulating the subjective endpoints of a numerical distribution directly. Experiment 3 generalizes the phenomenon by investigating a general population sample and estimations regarding a real-world income distribution. In addition, quantitative model analysis examines the cognitive processes underlying the effect. Overall, the novel Endpoint Leverage Effect is found in all three experiments, inspiring further research in a wide area of contexts.

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This article seeks to enhance the theoretical understanding of discrimination perception, especially in contexts with relevant statistical information. Previous research has provided important insights into the perception of single, ambiguous instances of discrimination. However, the generalizability of these insights to scenarios involving multiple, repeated instances of discrimination remains unclear. The current research aims to reduce this uncertainty by investigating whether three key determinants of discrimination perception in single instances - perpetrators' prototypicality, victims' control, and system-justifying beliefs (SJB) - also influence observers' perceptions of repeated discrimination. In Experiments 1 and 2, participants perceived stronger discrimination when perpetrators were prejudiced members of the advantaged group. In Experiments 3 and 4, perceived discrimination intensified when victims had low control, a trend significantly noted in tabular presentations but not in sequential ones. In Experiments 5 and 6, a negative correlation between SJB and discrimination perception was observed. The theoretical and practical implications of these results, as well as open questions, are discussed. Overall, these studies advance our knowledge of discrimination perception in multiple instances. They highlight the intricate interplay between statistical data, moral judgements, and individual belief systems, paving the way for a more nuanced exploration of the underlying psychological processes of discrimination perception.

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Social perceivers tend to exaggerate existing differences between groups, a phenomenon known as intergroup accentuation. In two preregistered experiments, we tested the hypothesis that accentuation originates in the initial learning of information about a novel group. In both experiments, perceivers exaggerated differences between two fictitious social groups that differed probabilistically in two dimensional traits. As hypothesized, accentuation was stronger for the group encountered second, confirming that accentuation originates partly in processes operating during the acquisition of group information. However, accentuation was also robust for the group encountered first, suggesting that it also occurs 'backward' even when group learning was unbiased. We discuss implications for stereotype formation generally and the perception of social minorities and out-groups specifically. As these groups are often encountered second in social reality, stereotypes of them might be particularly polarized.

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Perceiving the degree of variation in the social and non-social environment is a cognitive task that is important for many judgments and decisions. In the present research, we investigated cognitive underpinnings of how people estimate the average value of segments of a statistical distribution (e.g., what is the average income of the richest 25% of a population?). In three experiments (total N = 222), participants learned about the values of experimentally created distributions of income values and city sizes and later estimated the mean value of the four quarters of values. We expected participants to draw on heuristic shortcuts to generate such judgments. More specifically, we hypothesized that participants use the endpoints of the distributions as anchors and determine the mean values by linear interpolation. In addition, we tested the contribution of three further processes (Range-Frequency adjustments, Normal Smoothing, Linear Smoothing). Quantitative model tests suggest that anchoring and Linear Smoothing both affected mean interquartile judgments. This conclusion is corroborated by tests of qualitative predictions of the models under consideration.

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Moral dilemmas are frequently used to examine psychological processes that drive decisions between adhering to deontological norms and optimizing the outcome. However, commonly used dilemmas are generally unrealistic and confound moral principle and (in)action so that results obtained with these dilemmas might not generalize to other situations. In the present research, we introduce new dilemmas that are based on real-life events. In two studies (a European student sample and a North American MTurk sample, total N = 789), we show that the new factual dilemmas were perceived to be more realistic and less absurd than commonly used dilemmas. In addition, factual dilemmas induced higher participant engagement. From this, we draw the preliminary conclusion that factual dilemmas are more suitable for investigating moral cognition. Moreover, factual dilemmas can be used to examine the generalizability of previous results concerning action (vs. inaction) and concerning a wider range of deontological norms.

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How do people estimate the income that is needed to be rich? Two correlative survey studies (Study 1 and 2, N = 568) and one registered experimental study (Study 3, N = 500) examined the cognitive mechanisms that are used to derive an answer to this question. We tested whether individuals use their personal income (PI) as a self-generated anchor to derive an estimate of the income needed to be rich (= income wealth threshold estimation, IWTE). On a bivariate level, we found the expected positive relationship between one's PI and IWTE and, in line with previous findings, we found that people do not consider themselves rich. Furthermore, we predicted that individuals additionally use information about their social status within their social circles to make an IWTE. The findings from study 2 support this notion and show that only self-reported high-income individuals show different IWTEs depending on relative social status: Individuals in this group who self-reported a high status produced higher IWTEs than individuals who self-reported low status. The registered experimental study could not replicate this pattern robustly, although the results trended non-significantly in the same direction. Together, the findings revealed that the income of individuals as well as the social environment are used as sources of information to make IWTE judgements, although they are likely not the only important predictors.

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Ainslie's account of willpower addresses many important mechanisms (e.g., habit, visceral activation, and implementation intention). We argue that a model of willpower should be grounded in general psychological principles and with a primary focus on their interplay. We discuss the reflective-impulsive model that covers willpower and impulsiveness as special constellations of processes that govern various forms of cognition and behavior.

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Typical moral dilemmas pitting the consequences of a given action against the action's consistency with moral norms confound several determinants of moral judgments. Dissociating these determinants, the CNI model allows researchers to quantify sensitivity to consequences, sensitivity to norms, and general preference for inaction over action regardless of consequences and norms. However, with the currently available set of dilemmas for research using the CNI model, the model is not suitable for studies with individual-difference designs. To overcome this limitation, the current research investigated the suitability of an extended dilemma battery to make the CNI model amenable for individual-difference research, examining relations of its parameters with psychopathy, empathic concern, need for cognition, self-reported utilitarianism, behavioral activation/inhibition, moral identity, and religiosity. The results support the suitability of the CNI model for individual-difference research with the extended dilemma battery, providing more nuanced insights into the underpinnings of individual differences in moral dilemma judgments.

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Sequential effects in conflict processing (postconflict slowing and conflict adaptation) have primarily been studied in stimulus-response compatibility (SRC) tasks. Moreover, results obtained in SRC paradigms are often proposed as a model of higher-level motivational conflicts. The authors present 3 experiments suggesting that motivational conflicts, such as approach-approach (AA) and avoidance-avoidance (VV) conflicts partially engage different processes than SRC conflicts and thus result in different sequential effects. Instead of postconflict slowing, they predicted speeding after AA conflicts because they expect the approach motivation component of AA conflicts to briefly increase action readiness. Second, the authors expected larger conflict adaptation in VV than AA conflicts because conflict adaptation is known to be enhanced by inducing negative affect. They conducted 3 experiments with varying intertrial intervals (intertrial interval [ITI]) in which participants repeatedly solved hypothetical motivational conflicts (AA, VV) and nonconflicts (NC). In all three experiments, the authors observed postconflict speeding after AA conflicts compared to NC when the ITI was short. Conflict adaptation proved to be less reliable. These results extend previous research on sequential effects in conflict resolution by showing that sequential effects emerge also in higher-level motivational AA and VV conflicts but partially follow different rules than in SRC paradigms. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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The guidelines for setting environmental quality standards are increasingly based on probabilistic risk assessment due to a growing general awareness of the need for probabilistic procedures. One of the commonly used tools in probabilistic risk assessment is the species sensitivity distribution (SSD), which represents the proportion of species affected belonging to a biological assemblage as a function of exposure to a specific toxicant. Our focus is on the inverse use of the SSD curve with the aim of estimating the concentration, HCp, of a toxic compound that is hazardous to p% of the biological community under study. Toward this end, we propose the use of robust statistical methods in order to take into account the presence of outliers or apparent skew in the data, which may occur without any ecological basis. A robust approach exploits the full neighborhood of a parametric model, enabling the analyst to account for the typical real-world deviations from ideal models. We examine two classic HCp estimation approaches and consider robust versions of these estimators. In addition, we also use data transformations in conjunction with robust estimation methods in case of heteroscedasticity. Different scenarios using real data sets as well as simulated data are presented in order to illustrate and compare the proposed approaches. These scenarios illustrate that the use of robust estimation methods enhances HCp estimation.

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Previous research showed that priming effects in the affective misattribution procedure (AMP) are unaffected by direct warnings to avoid an influence of the primes. The present research examined whether a priming influence is diminished by task procedures that encourage accurate judgments of the targets. Participants were motivated to categorize the affective meaning of nonsense targets accurately by being made to believe that a true word was presented in each trial and by providing feedback on (allegedly) incorrect responses. This condition produced robust priming effects. Priming was however reduced and less reliable relative to more typical AMP conditions in which participants guessed the meaning of openly presented nonsense targets. Affective judgments of nonsense targets were not affected by advance knowledge of the response mapping during the priming phase, which argues against a response-priming explanation of AMP effects. These findings show that affective primes influence evaluative judgments even in conditions in which the motivation to provide accurate responses is high and a priming of motor responses is not possible. Priming effects were however weaker with high accuracy motivation, suggesting that a focus on accurate judgments is an effective strategy to control for an unwanted priming influence in the AMP.

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The present paper concerns the motivational underpinnings and behavioral correlates of the prevention or stopping of negative stimulation - a situation referred to as relief. Relief is of great theoretical and applied interest. Theoretically, it is tied to theories linking affect, emotion, and motivational systems. Importantly, these theories make different predictions regarding the association between relief and motivational systems. Moreover, relief is a prototypical antecedent of counterfactual emotions, which involve specific cognitive processes compared to factual or mere anticipatory emotions. Practically, relief may be an important motivator of addictive and phobic behaviors, self destructive behaviors, and social influence. In the present paper, we will first provide a review of conflicting conceptualizations of relief. We will then present an integrative relief model (IRMO) that aims at resolving existing theoretical conflicts. We then review evidence relevant to distinctive predictions regarding the moderating role of various procedural features of relief situations. We conclude that our integrated model results in a better understanding of existing evidence on the affective and motivational underpinnings of relief, but that further evidence is needed to come to a more comprehensive evaluation of the viability of IRMO.

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Benchmark analysis is a widely used tool in biomedical and environmental risk assessment. Therein, estimation of minimum exposure levels, called benchmark doses (BMDs), that induce a prespecified benchmark response (BMR) is well understood for the case of an adverse response to a single stimulus. For cases where two agents are studied in tandem, however, the benchmark approach is far less developed. This paper demonstrates how the benchmark modeling paradigm can be expanded from the single-agent setting to joint-action, two-agent studies. Focus is on continuous response outcomes. Extending the single-exposure setting, representations of risk are based on a joint-action dose-response model involving both agents. Based on such a model, the concept of a benchmark profile-a two-dimensional analog of the single-dose BMD at which both agents achieve the specified BMR-is defined for use in quantitative risk characterization and assessment.

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This electroencephalographic study investigated if negating one's emotion results in paradoxical effects or leads to effective emotional downregulation. Healthy participants were asked to downregulate their emotions to happy and fearful faces by using negated emotional cue words (e.g., no fun, no fear). Cue words were congruent with the emotion depicted in the face and presented prior to each face. Stimuli were presented in blocks of happy and fearful faces. Blocks of passive stimulus viewing served as control condition. Active regulation reduced amplitudes of early event-related brain potentials (early posterior negativity, but not N170) and the late positive potential for fearful faces. A fronto-central negativity peaking at about 250 ms after target face onset showed larger amplitude modulations during downregulation of fearful and happy faces. Behaviorally, negating was more associated with reappraisal than with suppression. Our results suggest that in an emotional context, negation processing could be quite effective for emotional downregulation but that its effects depend on the type of the negated emotion (pleasant vs unpleasant). Results are discussed in the context of dual process models of cognition and emotion regulation.

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The present research demonstrates that very brief variations in affect, being around 1 s in length and changing from trial to trial independently from semantic relatedness of primes and targets, modulate the amount of semantic priming. Implementing consonant and dissonant chords (Experiments 1 and 5), naturalistic sounds (Experiment 2), and visual facial primes (Experiment 3) in an (in)direct semantic priming paradigm, as well as brief facial feedback in a summative priming paradigm (Experiment 4), yielded increased priming effects under brief positive compared to negative affect. Furthermore, this modulation took place on the level of semantic spreading rather than on strategic mechanisms (Experiment 5). Alternative explanations such as distraction, motivation, arousal, and cognitive tuning could be ruled out. This phasic affective modulation constitutes a mechanism overlooked thus far that may contaminate priming effects in all priming paradigms that involve affective stimuli. Furthermore, this mechanism provides a novel explanation for the observation that priming effects are usually larger for positive than for negative stimuli. Finally, it has important implications for linguistic research, by suggesting that association norms may be biased for affective words.

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Explaining the evolution of sex and recombination is particularly intriguing for some species of eusocial insects because they display exceptionally high mating frequencies and genomic recombination rates. Explanations for both phenomena are based on the notion that both increase colony genetic diversity, with demonstrated benefits for colony disease resistance and division of labor. However, the relative contributions of mating number and recombination rate to colony genetic diversity have never been simultaneously assessed. Our study simulates colonies, assuming different mating numbers, recombination rates, and genetic architectures, to assess their worker genotypic diversity. The number of loci has a strong negative effect on genotypic diversity when the allelic effects are inversely scaled to locus number. In contrast, dominance, epistasis, lethal effects, or limiting the allelic diversity at each locus does not significantly affect the model outcomes. Mating number increases colony genotypic variance and lowers variation among colonies with quickly diminishing returns. Genomic recombination rate does not affect intra- and inter-colonial genotypic variance, regardless of mating frequency and genetic architecture. Recombination slightly increases the genotypic range of colonies and more strongly the number of workers with unique allele combinations across all loci. Overall, our study contradicts the argument that the exceptionally high recombination rates cause a quantitative increase in offspring genotypic diversity across one generation. Alternative explanations for the evolution of high recombination rates in social insects are therefore needed. Short-term benefits are central to most explanations of the evolution of multiple mating and high recombination rates in social insects but our results also apply to other species.

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Thus far, it has been shown that positive compared to negative mood increases creativity, for instance, as measured by performance in the remote associate task, where participants are asked to find the common remote associate for three clue words (e.g., RABBIT CLOUD MILK solution word WHITE). The present experiments show that very brief variations in affect, lasting for only a few seconds and changing from trial to trial within participants, are sufficient to modulate creativity in that task, presumably by modulating the breadth of semantic spread. Using word valence of remote associates themselves (Experiment 1), and consonant and dissonant chords (Experiment 2) as affect inductions, it was observed that brief positive compared to negative affect increased creative performance. This evidence extends the affect-modulation hypothesis to a temporal micro-level.

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Benchmark analysis is a widely used tool in public health risk analysis. Therein, estimation of minimum exposure levels, called Benchmark Doses (BMDs), that induce a prespecified Benchmark Response (BMR) is well understood for the case of an adverse response to a single stimulus. For cases where two agents are studied in tandem, however, the benchmark approach is far less developed. This article demonstrates how the benchmark modeling paradigm can be expanded from the single-dose setting to joint-action, two-agent studies. Focus is on response outcomes expressed as proportions. Extending the single-exposure setting, representations of risk are based on a joint-action dose-response model involving both agents. Based on such a model, the concept of a benchmark profile (BMP) - a two-dimensional analog of the single-dose BMD at which both agents achieve the specified BMR - is defined for use in quantitative risk characterization and assessment. The resulting, joint, low-dose guidelines can improve public health planning and risk regulation when dealing with low-level exposures to combinations of hazardous agents.

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This study investigated startle reflex modulation in 33 healthy student participants during the processing of negated emotional items. To build upon previous research, our particular interest was to find out whether processing of negated emotional items modulates emotional responding in line with the logical meaning of the negated expression, or instead leads to paradox emotional effects that point in the direction opposite the one logically implied by the negation. Startle reflex modulation was assessed during silent reading of pleasant and unpleasant nouns. The nouns were either paired with the possessive pronoun my or with the negation word no. The startle eyeblink amplitude was enhanced during processing of the unpleasant pronoun-noun phrases and attenuated during processing of the pleasant phrases. Negation attenuated the startle eyeblink for negated unpleasant nouns and enhanced it for negated pleasant nouns. In line with this finding, negation decreased arousal ratings for unpleasant nouns and reversed the valence ratings for pleasant nouns. Our results are the first to show an effect of negation on both peripheral physiological and subjective indices of affective responding. Our results suggest that negation may be an effective strategy for spontaneous down-regulation of emotional responses to unpleasant, but not to pleasant, stimuli.

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