Implicit evaluations of moral agents reflect intent and outcome

Family favouring effects across intent and outcome-based moral judgements and decisions

Doing harm is a moral violation, but helping a family member is morally obligatory. In this study, participants encountered this ethical dilemma through stories featuring their sibling (i.e., brother) as either the perpetrator or victim in various moral scenarios. Subsequently, they provided their moral judgements (i.e., moral acceptability and perceived transgression) and made decisions (i.e., willingness and difficulty to disclose what the agent did to the police) regarding the perpetrator. The manipulation of family membership was integrated into the moral scenarios, which were crafted based on whether the perpetrator had malicious intent and whether those intentions resulted in a harmful outcome (i.e., intentional harm, failed attempts to harm, accidental harm, and a harmless/baseline). While we initially expected that individuals would exhibit favouritism towards their brother when harmful intent or outcomes were absent, our findings revealed that both agent/victim identities (brother/stranger) and intent-outcome-based moral scenarios had an additive effect on both measures of moral judgement. This suggests that the family favouring effect was observed across all intent-outcome scenarios, with a slightly more pronounced effect when the brother accidentally harmed a stranger compared to a stranger accidentally harming the brother. Regarding moral decisions, participants demonstrated a willingness to disclose what they witnessed regardless of their familial relationship with the agent or victim, but it was universally perceived as a difficult decision to make. Together, our results underscore the context-specific nature of moral judgements and decisions, emphasising the significant impact of family members when they are involved as moral characters.

Attribution Impacts Implicit (And Explicit) Evaluations

Two studies examined whether the attributional framing of negative events affected explicit evaluations, as measured by differences in liking, and implicit evaluations, as measured by the Implicit Association Test (Greenwald et al., 1998). In Study 1, participants read negative information about a novel target ordered to elicit internal or external attributions. Participants in the internal attribution condition evaluated the target more negatively than did those in the external attribution condition on both implicit and explicit measures. Study 2 replicated these results and tested the effects of attribution on recently formed negative evaluations. Participants who evaluated targets before and after receiving additional negative information about them demonstrated implicit and explicit evaluative change consistent with the attributional framing of that information. This research provides clear evidence that attribution influences the formation and change of implicit evaluations; however, these effects were weaker than those on explicit measures of evaluation.

The role of causal structure in implicit evaluation

Causal relationships, unlike mere co-occurrence, allow humans to obtain rewards and avoid punishments by intervening on their environment. Accordingly, explicit (controlled) evaluations of stimuli encountered in the environment are known to be sensitive to causal relationships above and beyond mere co-occurrence. In this project, we conduct stringent tests of whether implicit (automatic) evaluation also reflects causal relationships and begin to probe the representational mechanisms underlying such sensitivity. Participants (N = 4836) observed causal events during which two stimuli were equally contingent with positive or negative outcomes but only one of them was causally responsible for these outcomes. Across 6 studies, varying in design and amount of verbal scaffolding provided, differences in causal status consistently guided not only explicit measures of evaluation (Likert and slider scales; Bayes Factor meta-analysis: Cohen's d = 0.28, BF₁₀ > 10⁴⁶) but also their implicit counterparts (Implicit Association Tests; Bayes Factor meta-analysis: Cohen's d = 0.22, BF₁₀ > 10²⁹). However, unlike their explicit counterparts, implicit evaluations were not sensitive to causal relationships that had to be flexibly derived by combining disparate past experiences. Taken together, these studies suggest that implicit evaluations are sensitive to causal information. Such sensitivity seems to be mediated via precompiled, causally informed value representations rather than online computations over a causal model.

Implementation of Mobile Psychological Testing on Smart Devices: Evaluation of a ResearchKit-Based Design Approach for the Implicit Association Test

Objective

To determine whether a framework-based approach for mobile apps is appropriate for the implementation of psychological testing, and equivalent to established methods.

Methods

Apple's ResearchKit was used for implementing native implicit association test methods (IAT), and an exemplary app was developed to examine users' implicit attitudes toward overweight or thin individuals. For comparison, a web-based IAT app, based on code provided by Project Implicit, was used. Adult volunteers were asked to test both versions on an iPad with touch as well as keyboard input (altogether four tests per participant, random order). Latency values were recorded and used to calculate parameters relevant to the implicit setting. Measurements were analyzed with respect to app type and input method, as well as test order (ANOVA and χ² tests).

Results

Fifty-one datasets were acquired (female, n = 21; male, n = 30, average age 35 ± 4.66 years). Test order and combination of app type and input method influenced the latency values significantly (both P<0.001). This was not mirrored for the D scores or average number of errors vs. app type combined with input method (D scores: P = 0.66; number of errors: P = 0.733) or test order (D scores: P = 0.096; number of errors: P = 0.85). Post-hoc power analysis of the linear ANOVA showed 0.8 by f ²=0.25, with α = 0.05 and 4 predictors.

Conclusions

The results suggest that a native mobile implementation of the IAT may be comparable to established implementations. The validity of the acquired measurements seems to depend on the properties of the chosen test rather than the specifics of the chosen platform or input method.

Cultural Similarities and Differences in the Development of Sociomoral Judgments: An Eye-Tracking Study

People integrate the valence of behavior and that of outcome when making moral judgments. However, the role of culture in the development of this integration among young children remains unclear. We investigated cultural similarities and differences in moral judgments by measuring both visual attention and verbal evaluations. Three- and four-year-olds from Japan and the U.S. (N = 141) were shown sociomoral scenarios that varied in agents' behavior which reflected prosocial or antisocial intention and recipients' emotional outcome (happy, neutral, or sad); then, they were asked to evaluate agents' moral trait. Their eye fixations while observing moral scenarios were measured using an eye-tracker. We found culturally similar tendencies in the integration of behavior and outcome; however, a cultural difference was shown in their verbal evaluation. The link between implicit attention and explicit verbal evaluation was negligible. Both culturally shared and specific aspects of sociomoral development are discussed.