The promotion of self-forgiveness,responsibility, and willingness to make reparations through a workbook intervention

This study evaluated the effectiveness of a workbook intervention designed to promote self-forgiveness, acceptance of responsibility, and willingness to make amends/reparations in a university student sample. The intervention manual consisted of three parts: (a) promoting prosocial and responsible attitudes, (b) reducing barriers to self-forgiveness, and (c) promoting healthy thinking and behaviors. Outcome measures included acceptance of responsibility, motivation to make reparations, and state and trait self-forgiveness. Measures were administered pre-intervention and immediately post-intervention. Participants were randomly assigned to an intervention group (N = 50) or a control group (N = 43). The control group studied materials for their university courses instead of completing the intervention. Following the intervention, the intervention group had significantly a higher state and dispositional self-forgiveness post-test compared to the control group. Changes in acceptance of responsibility and willingness to make reparations did not reach statistical significance as compared to the control group.     

Quick to the draw: How suspect race and socioeconomic status influences shooting decisions

We examined the role of both suspect race and socioeconomic status (SES) on shooting decisions during a first‐person shooter task. Two studies revealed that both suspect race and SES influenced shooting decisions. Non‐Black participants shot armed high‐SES Black suspects faster than armed high‐SES White suspects and responded “don't shoot” faster for unarmed high‐SES White suspects than unarmed high‐SES Black suspects. No race differences appeared in the low‐SES conditions—responses resembled high‐SES Black suspect. Signal detection, misses, and false alarm analyses revealed participants erred toward not shooting high‐SES White suspects. The current studies draw attention to considering both race and SES during shooting decisions.     

The Influence of Time Estimation and Time‐Saving Preferences on Learning to Make Temporally Dependent Decisions from Experience

In this paper, we merge research related to experiential learning, temporal perception, and the value of time and money by examining decisions where the timing of action (response) determines the outcome received. We predicted that time‐saving preferences and impatience would decrease maximization (i.e., taking action when it returned the largest reward), and that the constraints of temporal perception would compound their effects. Across three studies, participants undershot on average (i.e., responded earlier than the period of time during which a response would return the maximal reward) showed a preference for shorter‐delay options and often did not find the maximal reward. In addition, participants' reliance on temporal perception increased undershooting, increased preferences for shorter‐delay options, and reduced maximization. Nevertheless, participants who found the maximal reward continued to maximize at a high rate rather than opting for shorter delays and smaller rewards. Thus, while most participants appeared to have a preference for saving time, most behaved as reward maximizers rather than temporal discounters. Copyright © 2017 John Wiley & Sons, Ltd.     

Mortality salience increases adherence to salient norms and values

Four studies indicate that mortality salience increases adherence to social norms and values, but only when cultural norms and values are salient. In Study 1, mortality salience coupled with a reminder about cultural values of egalitarianism reduced prejudice toward Blacks among non-Black participants. In Studies 2 through 4, a mortality salience induction (e.g., walking through a cemetery) increased self-reported and actual helping behavior only when the cultural value of helping was salient. These results suggest that people may adhere to norms and values so as to manage awareness of death.     

‘But everyone else is doing it’: a closer look at the occupational taxpaying culture of one business sector

When individuals embark on their careers they not only become acculturated into their occupational sectors' day‐to‐day norms and practices, but also their taxpaying ones. Although the research on taxpaying cultures is still in its infancy, understanding more about taxpaying cultures could improve our understanding of the processes underlying tax compliance. To this end, this study aimed to build a detailed picture of the taxpaying culture (i.e. the norms and values) of one business sector—the hairdressing/beauty industry. Nineteen small business and self‐employed hairdressers/beauticians were interviewed and a variant of Grounded theory was used to uncover the main themes that ran through the interviews as a whole. The main themes that emerged—which appear to characterize this sector's culture—include a reliance on accountants/tax advisors, the notion of an acceptable level of cash‐in‐hand payments, and the use of different mental accounts for different types of income. Although some of these themes have already arisen in the small business literature they have often been couched in individualistic terms. We build a case that these issues are more cultural than individual—they are tied to occupational group membership as they are socially constructed within occupational groups and are a key component of the group's taxpaying culture. Implications and directions for future research are discussed. Copyright © 2007 John Wiley & Sons, Ltd.     

Response processes in information-integration category learning

Much recent evidence suggests that human category learning is mediated by multiple systems. Evidence suggests that at least one of these depends on procedural learning within the basal ganglia. Information-integration categorization tasks are thought to load heavily on this procedural-learning system. The results of several previous studies were interpreted to suggest that response positions are learned in information-integration tasks. This hypothesis was tested in two experiments. Experiment 1 showed that information-integration category learning was slowed but not disrupted when the spatial location of the responses varied randomly across trials. Experiment 2 showed that information-integration learning was impaired if category membership was signaled by responding to a Yes/No question and the category label had no consistent spatial location. These results suggest that information-integration category learning does not require consistent response locations. In these experiments, a consistent association between a category and a response feature was sufficient. The implication of these results for the neurobiology of information-integration category learning is discussed.     

A role for the perceptual representation memory system in category learning

There is growing evidence that working memory, episodic/semantic memory, and procedural memory all play important roles in at least some types of category learning. Little is known, however, about the role of the perceptual representation memory system (PRS). Two experiments are reported that provide evidence that under certain conditions, the PRS, by itself, is sufficient to mediate category learning. Both experiments compared performance in (A, not A) and (A, B) prototype distortion category-learning tasks, in which category exemplars are created by randomly distorting one category prototype in the (A, not A) conditions or two prototypes in the (A, B) conditions. Results showed that (A, not A) performance was more sensitive to prototype similarity and less affected by the removal of feedback than (A, B) performance. These results support the hypothesis that (A, not A) performance was mediated by the PRS, but that (A, B) performance recruited other memory systems.     

The effects of positive versus negative feedback on information-integration category learning

A number of studies have shown that in category learning, providing feedback about errors allows faster learning than providing feedback about correct responses. However, these previous studies used explicit, rule-based tasks in which the category structures could be separated by a simple rule that was easily verbalized. Here, the results of the first experiment known to compare the efficacy of positive versus negative feedback during information-integration category learning are reported. Information-integration tasks require participants to integrate perceptual information from incommensurable dimensions, and evidence suggests that optimal responding recruits procedural learning. The results show that although nearly all of the full-feedback control participants demonstrated information-integration learning, participants receiving either positive-only or negative-only feedback generally used explicit, rule-based strategies. It thus appears that, unlike rule-based learning, consistent information-integration learning requires full feedback. The theoretical implications of these findings for current models of information-integration learning are discussed.     

A neurobiological theory of automaticity in perceptual categorization

A biologically detailed computational model is described of how categorization judgments become automatic in tasks that depend on procedural learning. The model assumes 2 neural pathways from sensory association cortex to the premotor area that mediates response selection. A longer and slower path projects to the premotor area via the striatum, globus pallidus, and thalamus. A faster, purely cortical path projects directly to the premotor area. The model assumes that the subcortical path has greater neural plasticity because of a dopamine-mediated learning signal from the substantia nigra. In contrast, the cortical-cortical path learns more slowly via (dopamine independent) Hebbian learning. Because of its greater plasticity, early performance is dominated by the subcortical path, but the development of automaticity is characterized by a transfer of control to the faster cortical-cortical projection. The model, called SPEED (Subcortical Pathways Enable Expertise Development), includes differential equations that describe activation in the relevant brain areas and difference equations that describe the 2- and 3-factor learning. A variety of simulations are described, showing that the model accounts for some classic single-cell recording and behavioral results.