The socioecological benefits and consequences of oil palm cultivation in its native range: The Sustainable Oil Palm in West Africa (SOPWA) Project.

Agriculture is expanding rapidly across the tropics. While cultivation can boost socioeconomic conditions and food security, it also threatens native ecosystems. Oil palm (Elaeis guineensis), which is grown pantropically, is the most productive vegetable oil crop worldwide. The impacts of oil palm cultivation have been studied extensively in Southeast Asia and - to a lesser extent - in Latin America but, in comparison, very little is known about its impacts in Africa: oil palm's native range, and where cultivation is expanding rapidly. In this paper, we introduce a large-scale research programme - the Sustainable Oil Palm in West Africa (SOPWA) Project - that is evaluating the relative ecological impacts of oil palm cultivation under traditional (i.e., by local people) and industrial (i.e., by a large-scale corporation) management in Liberia. Our paper is twofold in focus. First, we use systematic mapping to appraise the literature on oil palm research in an African context, assessing the geographic and disciplinary focus of existing research. We found 757 publications occurring in 36 African countries. Studies tended to focus on the impacts of palm oil consumption on human health and wellbeing. We found no research that has evaluated the whole-ecosystem (i.e., multiple taxa and ecosystem functions) impacts of oil palm cultivation in Africa, a knowledge gap which the SOPWA Project directly addresses. Second, we describe the SOPWA Project's study design and-using canopy cover, ground vegetation cover, and soil temperature data as a case study-demonstrate its utility for assessing differences between areas of rainforest and oil palm agriculture. We outline the socioecological data collected by the SOPWA Project to date and describe the potential for future research, to encourage new collaborations and additional similar projects of its kind in West Africa. Increased research in Africa is needed urgently to understand the combined ecological and sociocultural impacts of oil palm and other agriculture in this unique region. This will help to ensure long-term sustainability of the oil palm industry-and, indeed, all tropical agricultural activity-in Africa.

What is intuiting and deliberating? A functional-cognitive perspective.

We applaud De Neys for drawing attention to the interaction between intuiting and deliberating without committing to single- or dual process models. It remains unclear, however, how he conceptualizes the distinction between intuiting and deliberating. We propose several levels at which the distinction can be made and discuss the merits of defining intuiting and deliberating as different types of behavior.

ABC-training as a new intervention for hazardous alcohol drinking: Two proof-of-principle randomized pilot studies.

BACKGROUND AND AIMS: ABC-training is a new intervention to encourage health behavior change that targets the automatic activation of adaptive beliefs (i.e. automatic inferences). The aim of this proof-of-principle study was to test the effectiveness of web-based ABC-training to change outcome expectancies of alcohol drinking in a sample of hazardous drinkers. DESIGN: One exploratory and one confirmatory experiment with two between-subject conditions (online ABC- and control-training) and assessments at baseline and 1 week later (after three sessions of training). SETTING: Participants recruited on Prolific Academic completed the web-based study. PARTICIPANTS: Adults with self-reported hazardous alcohol drinking (Experiment 1: 193 adults, United Kingdom, age mean = 46.7 years; Experiment 2: 282 adults, different nationalities, age mean = 38.3 years). INTERVENTION AND COMPARATOR: ABC-training involved completing an online task that required choosing personally relevant alternative behaviors to drinking alcohol in personally relevant antecedent contexts to attain personally important outcomes. Comparator was control-training, in which participants selected both the alternative behaviors and alcohol drinking an equal number of times. Training was completed at baseline, after 3 days and after 1 week. MEASUREMENTS: Primary outcome was change in automatic and self-reported (negative/positive) outcome expectancies of alcohol drinking from baseline to after 1 week. Secondary outcomes were change in weekly alcohol consumption, self-efficacy, craving and motivation (and approach-alcohol associations in Experiment 1). Moderators were baseline outcome scores, motivation, age and alcohol dependency. FINDINGS: Findings of this study are as follows: stronger increase in negative outcome expectancies after ABC- than control-training (Experiment 1: self-report, 95% confidence interval of difference scores (CIdiff ) = [0.04, Inf]; automatic, CIdiff = [0.01, Inf]; Experiment 2: self-report, CIdiff = [0.16, Inf]; automatic, CIdiff = [0.002, Inf]). Stronger reduction in self-reported positive outcome expectancies after ABC- than control-training (Experiment 1: CIdiff = [-Inf, -0.01]; Experiment 2: CIdiff = [-Inf, -0.21]) but mixed findings on automatic positive outcome expectancies (Experiment 1: CIdiff = [-Inf, 0.02]; Experiment 2: CIdiff = [-Inf, -0.001]). CONCLUSIONS: ABC-training may change outcome expectancies of alcohol consumption, but testing of clinically relevant effects in other samples is warranted.

Approach-Bias Retraining and Other Training Interventions as Add-On in the Treatment of AUD Patients.

In the past two decades, a variety of cognitive training interventions have been developed to help people overcome their addictive behaviors. Conceptually, it is important to distinguish between programs in which reactions to addiction-relevant cues are trained (varieties of cognitive bias modification, CBM) and programs in which general abilities are trained such as working memory or mindfulness. CBM was first developed to study the hypothesized causal role in mental disorders: by directly manipulating the bias, it was investigated to what extent this influenced disorder-relevant behavior. In these proof-of-principle studies, the bias was temporarily modified in volunteers, either temporarily increased or decreased, with corresponding effects on behavior (e.g., beer consumption), in case the bias was successfully manipulated. In subsequent clinical randomized controlled trials (RCTs), training (away from the substance vs. sham training) was added to clinical treatment. These studies have demonstrated that CBM, as added to treatment, reduces relapse with a small effect of about 10% (similar effect size as for medication, with the strongest evidence for approach-bias modification). This has not been found for general ability training (e.g., working memory training), although effects on other psychological functions have been found (e.g., impulsivity). Mindfulness also has been found to help people overcome addictions, and different from CBM, also as stand-alone intervention. Research on (neuro-)cognitive mechanisms underlying approach-bias modification has pointed to a new perspective in which automatic inferences rather than associations are influenced by training, which has led to the development of a new variety of training: ABC training.

Let's play pretend: Towards effective modelling in experimental psycho(patho)logy.

BACKGROUND AND OBJECTIVES: Models are omnipresent in science. We introduce a novel framework to achieve more effective modelling practices in general psychology and experimental psychopathology. METHOD: We analyze three types of models that are common in psychology: laboratory models, computational models, and cognitive models. We then evaluate two common ways to assess the translational value of models (phenomenological similarity and deep similarity) as well as an arguably underappreciated way (functional similarity). Functional similarity is based on an assessment of whether variables (e.g., the administration of a pharmacological substance) have a similar effect (a) in the model (e.g., in a fear conditioning procedure) and (b) on the real-life target phenomenon (e.g., on real-life anxiety complaints). CONCLUSIONS: We argue that the assessment of functional similarity is a powerful tool to assess the translational value of models in the field of experimental psychopathology and beyond.

A goal-directed account of action slips: The reliance on old contingencies.

People often keep engaging in behaviors that used to be successful in the past but which are knowingly no longer effective in the current situation, so-called "action slips." Such action slips are often explained with stimulus-driven processes in which behavior is caused by a stimulus-response association and without information about the outcome of the behavior. This process is contrasted with a goal-directed process in which behavior is selected because it is expected to lead to a desired outcome. Failing to act in line with changes in the outcome is taken as evidence for stimulus-driven processes. Stimulus-driven processes are assumed to get installed after overtraining and to be deployed under poor operating conditions. In line with this, previous research has found that action slips are more likely to occur after extensive training and when under time pressure. We propose an alternative goal-directed explanation according to which action slips are caused by a goal-directed process that relies on old, no longer accurate, outcome information. In the current study, participants learned four stimulus-response-outcome contingencies during a single (i.e., moderate training) or a 4-day training schedule (i.e., extensive training). Afterward, two contingencies were reversed and performance was assessed under time pressure. Results show that after extensive training, participants not only committed more action slips but also reported more old response-outcome contingencies in line with these action slips. This is consistent with the goal-directed explanation that action slips result from a reliance on old, no longer accurate outcome information. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Testing the practical utility of implicit measures of beliefs for predicting drunk driving.

Despite the potential benefits of implicit measures over self-report measures, they are rarely used in real-world contexts to predict behavior. Two potential reasons are that (a) traditional implicit measures typically show low predictive validity and (b) the practical utility of implicit measures has hardly been investigated. The current studies test the practical utility of a new generation of implicit measures for predicting drunk driving. Study 1 (N = 290) examined whether an implicit measure of beliefs about past drunk driving (i.e., the Past Driving Under the Influence Implicit Association Test; P-DUI-IAT) retrospectively predicts drunk driving in driving school students, a population for which this measure could have applied value. Study 1 also explored whether P-DUI-IAT scores prospectively predicted drunk driving over six months. Due to the low number of offenders, however, Study 1 had low statistical power to test this latter question. In Study 2 (N = 228), we therefore examined the utility of the P-DUI-IAT and a new variant of this test (i.e., the Acceptability of Driving Under the Influence Implicit Association Test; A-DUI-IAT) to prospectively predict drunk driving in an online sample with a high number of offenders. Results from Study 1 show that the P-DUI-IAT predicts self-rated past drunk driving behavior in driving school students (ORs = 3.11-6.12, ps < .043, 95% CIs = [1.11, 37.69]). Results from Study 1 do not show evidence for utility of the P-DUI-IAT to prospectively predict self-rated drunk driving. Results from Study 2, on the other hand, show strong evidence for the utility of both implicit measures to prospectively predict self-rated drunk driving (ORs = 3.80-5.82, ps < .002, 95% CIs = [1.72, 14.47]). Although further applied research is necessary, the current results could provide a first step towards the application of implicit measures in real-world contexts.

Learned helplessness and its relevance for psychological suffering: a new perspective illustrated with attachment problems, burn-out, and fatigue complaints.

We develop a new perspective on various forms of psychological suffering - including attachment issues, burn-out, and fatigue complaints - by drawing on the construct of learned helplessness. We conceptualise learned helplessness in operant terms as the behavioural effects of a lack of reinforcement and in goal-directed terms as the dysregulation of goal-directed behaviour. Our central claim is that if one fails to reach a goal (e.g. the goal to secure a job), then not only this goal but also other related goals (e.g. the goal to maintain social relationships) may lose their motivating effects. The similarity relation between goal stimuli can therefore shed light on how failure in one life domain can come to affect various other life domains. We detail the relation between our proposal and existing theories and discuss new research and clinical directions.

Do evaluation and self-identification relate to self-reported and actual social media use?

Background and aims: Social media use can sometimes become excessive and damaging. To deal with this issue, scholars and practitioners have called for the development of measures that predict social media use. The current studies test the utility of evaluation and self-identification measures for predicting social media use. Method: Study 1 examined the relation between evaluation (n = 58) and self-identification (n = 56) measures on the one hand and several self-report measures of social media use on the other hand. Study 2 examined whether the main results of Study 1 could be replicated and whether evaluation (n = 68) and self-identification (n = 48) also relate to actual social media use. We probed evaluation and self-identification using implicit and explicit measures. Results: Explicit evaluation and self-identification measures significantly correlated with several of the self-report measures of social media. Explicit evaluation also significantly correlated with several indices of actual social media use. Implicit measures did not relate to social media use. Discussion and conclusions: The current results suggest that researchers and practitioners could benefit from using explicit evaluation and self-identification measures when predicting social media use, especially an evaluation measure since this measure also seems to relate to actual social media use. Study 2 was one of the first to test the ecological validity of social media use measures. Although implicit measures could provide benefits for predicting social media use, the current studies did not show evidence for their predictive utility.

Nudging societally relevant behavior by promoting cognitive inferences.

Effective behavioral interventions are essential to address urgent societal challenges. Over the past decade, nudging interventions (i.e., arranging the environment to promote adaptive behavioral choices) have surged in popularity. Importantly, effective application of the nudging approach requires clear guiding principles with a firm basis in behavioral science. We present a framework for nudging interventions that builds on evidence about the goal-directed inferential processes underlying behavior (i.e., processes that involve context-dependent inferences about goals and the actions available to achieve these goals). We used this framework to develop nudging interventions that target context-relevant cognitive inferences. We examined the effectiveness of these inference nudging interventions for promoting two important types of societal behavior: pro-environmental actions and adherence to COVID-19 guidelines. As predicted, two online studies revealed that inference nudging interventions successfully increased energy conservation (Study 1) as well as social distancing during the COVID-19 crisis (Study 2). A field experiment found that inference nudging interventions increased hand disinfection in a real-life store during the COVID-19 crisis (Study 3). Our findings highlight the importance of applying state-of-the-art insights about the (inferential) determinants of behavior in behavior change interventions.

Predicting drunk driving using a variant of the implicit association test.

INTRODUCTION: Drunk driving is one of the primary causes of road traffic injuries and fatalities. A possible approach to reduce drunk driving rates is to identify which individuals are at risk of such behavior and establish targeted prevention. Simply asking individuals about drunk driving in real-world contexts would be problematic because of potential deception. The use of implicit measures such as the Implicit Association Test (IAT) could overcome this problem because they are less controllable than self-reports and thus less susceptible to deception. However, previous studies have shown poor predictive utility of implicit measures for drunk driving behavior. The current studies aimed to test the predictive utility of a variant of the IAT designed to assess beliefs about past driving under the influence (the P-DUI-IAT). METHOD: Study 1 (N = 216) tested whether the P-DUI-IAT could predict self-reported prior drunk driving and future likelihood of drunk driving. We also examined incremental predictive validity of the P-DUI-IAT for these outcomes. Study 2 (N = 159) examined whether results from Study 1 were reproducible. RESULTS: In both studies, results showed that the P-DUI-IAT discriminated well between participants who had engaged in drunk driving and participants who had not. The P-DUI-IAT also showed independent and incremental predictive validity for past drunk driving and future likelihood of drunk driving. CONCLUSIONS: These studies provided initial evidence for the predictive utility of the P-DUI-IAT for drunk driving. PRACTICAL APPLICATIONS: The P-DUI-IAT is a promising tool for identifying which individuals are at risk of drunk driving. The application of this measure could especially be valuable for identifying young novice drivers at risk for drunk driving-related accidents.

Powerful Effects of Diagnostic Information on Automatic and Self-Reported Evaluation: The Moderating Role of Memory Recall.

We sometimes learn about certain behaviors of others that we consider diagnostic of their character (e.g., that they did immoral things). Recent research has shown that such information trumps the impact of other (less diagnostic) information both on self-reported evaluations and on more automatic evaluations as probed with indirect measures such as the Affect Misattribution Procedure (AMP). We examined whether facilitating memory recall of alternative information moderates the impact of diagnostic information on evaluation. In Experiments 1 and 2, participants learned one diagnostic positive and one diagnostic negative behavior of two unfamiliar people. Presenting a cue semantically related to this information during evaluation influenced AMP scores but not self-reported liking scores. Experiments 3 and 4 showed that elaborative rehearsal of low diagnostic information eliminated diagnosticity effects on AMP scores and reduced them on self-reported liking scores. These findings help elucidate the role of memory recall and diagnosticity in evaluation.

Predicting nonsuicidal self-injury using a variant of the implicit association test.

OBJECTIVE: Nonsuicidal self-injury (NSSI) is a severe problem, and its prevalence is increasing. To aid prevention and treatment, there is an urgent need for evidence-based measures to identify individuals at risk for NSSI. Measures that probe past NSSI are most promising, but people are often motivated to conceal NSSI behavior. This problem can be overcome by using implicit measures, which do not require individuals to self-report on their behavior. Yet, prior research typically found weak predictive utility of implicit measures. Based on a new perspective on implicit measures and recent findings in NSSI research, we developed an Implicit Association Test that probes past NSSI (the P-NSSI-IAT). METHOD: We report two preregistered studies (N = 83; N = 372) in which we tested the utility of the P-NSSI-IAT to detect past NSSI and predict NSSI one month later. RESULTS: P-NSSI-IAT scores (a) differentiated injury groups from non-injury groups and (b) prospectively predicted NSSI and improved prediction above and beyond risk factors of NSSI. CONCLUSIONS: These initial findings suggest that the P-NSSI-IAT is a promising tool for NSSI risk assessment. Future studies should further examine the predictive utility of this newly developed measure for NSSI behavior.

Attitudes as propositional representations.

Attitudes are mental representations that help to explain why stimuli evoke positive or negative responses. Until recently, attitudes were often thought of as associations in memory. This idea inspired extensive research on evaluative conditioning (EC) and implicit evaluation. However, attitudes can also be seen as propositional representations, which, unlike associations, specify relational information and have a truth value. We review research on EC and implicit evaluation that tested the basic tenets of the propositional perspective on attitudes. In line with this perspective, studies show that both phenomena are moderated by relational and truth information. We discuss implications for the prediction and influencing of seemingly irrational behavior such as excessive alcohol intake and implicit racial bias.

Mental distress through the prism of predictive processing theory.

We review the predictive processing theory's take on goals and affect, to shed new light on mental distress and how it develops into psychopathology such as in affective and motivational disorders. This analysis recovers many of the classical factors known to be important in those disorders, like uncertainty and control, but integrates them in a mechanistic model of adaptive and maladaptive cognition and behavior. We derive implications for treatment that have so far remained underexposed in existing predictive processing accounts of mental disorder, specifically with regard to the model-dependent construction of value, the importance of model validation (evidence), and the introduction and learning of new, adaptive beliefs that relieve suffering.

Assessing the influence of warnings with testimonies from former smokers on smoking and quitting behaviour.

OBJECTIVES: Cigarette pack warnings are widely used internationally for reducing smoking behaviour. Current warnings typically consist of a textual or graphic warning that smoking can lead to negative (health) outcomes. Though these warnings have proven benefits, they also have important limitations. Most notably, they do not produce beneficial changes in important cognitive determinants of smoking cessation such as self-efficacy to refrain from smoking and they do not reduce smoking for specific subsets of the target population. Recent studies provide evidence for the effectiveness of health warnings that include health-related testimonies from former smokers. METHODS: We designed cigarette pack warnings that consist of more general testimonial statements from former smokers, selected in a pilot study for their potential impact on two important cognitive determinants of smoking (i.e., self-efficacy beliefs and outcome expectancies). In the main study, online participants were either exposed to the new testimonial warnings, to graphic health warnings, or to text-only health warnings on four separate occasions during a 24-h window. RESULTS: In a sample of 416 daily smokers, we observed beneficial changes in self-reported cigarette smoking, craving, quit intentions, evaluations of smoking, self-efficacy, and outcome expectancies, immediately after viewing the warnings a first time and after multiple exposures. These effects were comparable for participants in the three warning type groups, with some (small) differences for changes in outcome expectancies and craving. CONCLUSIONS: Warnings with general testimonies from former smokers might provide a useful evidence-based addition to currently used cigarette pack health warnings.

Can (Instructions About) Stimulus Pairings Influence Automatic and Self-Reported Evaluations in the Presence of More Diagnostic Evaluative Information?

Evaluative conditioning (EC) and persuasion are important pathways for shaping evaluations. However, little is known about how these pathways interact. Two preregistered experiments (total N = 1,510) examined effects of EC procedures (i.e., stimulus pairings) and EC instructions (i.e., instructions about stimulus pairings) on automatic and self-reported evaluations of social groups in the presence of more diagnostic information about the evaluative traits of those groups. Interestingly, both EC procedures and EC instructions still influenced automatic and self-reported evaluations when participants had read more diagnostic persuasive information. In line with predictions of propositional accounts of evaluation, EC instruction effects on automatic evaluations were not mediated by corresponding changes in self-reported evaluations. These results have theoretical implications and also highlight the important role that (instructions about) stimulus pairings have in social learning.

Illusory-Correlation Effects on Implicit and Explicit Evaluation.

Research suggests that people sometimes perceive a relationship between stimuli when no such relationship exists (i.e., illusory correlation). Illusory-correlation effects are thought to play a central role in the formation of stereotypes and evaluations of minority versus majority groups, often leading to less favorable impressions of minorities. Extant theories differ in terms of whether they attribute illusory-correlation effects to processes operating during learning (belief formation) or measurement (belief expression), and whether different evaluation measures should be differentially sensitive to illusory-correlation effects. Past research found mixed evidence for dissociative effects of illusory-correlation manipulations on measures of implicit (i.e., automatic) and explicit (i.e., controlled) evaluation. Four high-powered studies obtained illusory-correlation effects on explicit evaluations, but not implicit evaluations probed with an Implicit Association Test, Evaluative Priming Task, and Affect Misattribution Procedure. The results are consistent with theories that attribute illusory-correlation effects to processes during belief expression.

To punish or to assist? Divergent reactions to ingroup and outgroup members disobeying social distancing.

In response to the COVID-19 pandemic, societies face the formidable challenge of developing sustainable forms of sociability-cumsocial-distancing - enduring social life while containing the virus and preventing new outbreaks. Accordant public policies often balance between retributive (punishment-based) and assistance (solidarity-based) measures to foster responsible behaviour. Yet, the uncontrolled spreading of the disease has divided public opinion about which measures are best suited, and it has made salient group disparities in behaviour, potentially straining intergroup relations, elevating heated emotions, and undercutting coordinated international responses. In a 2 × 2 between-subjects experiment, British citizens (N = 377) read about national in-group or outgroup members (categorical differentiation), who were either conforming to or deviating from the corona regulations (normative differentiation). Participants then reported moral emotions towards the target national group and indicated support for public policies. In general, support for assistance policies outweighed support for retributive measures. Second, however, norm deviation was associated with less positive and more negative moral emotions, the latter category further relating to more punitiveness and less assistance support. Finally, respondents who read about norm-violating outgroup members especially reported support for retributive measures, indicating that people might use norm deviation to justify outgroup derogation. We discuss implications for policymakers and formulate future research avenues.