Recent work in social psychology suggests that people harbor “implicit race biases,” biases which can be unconscious or uncontrollable. Because awareness and control have traditionally been deemed necessary for the ascription of moral responsibility, implicit biases present a unique challenge: do we pardon discrimination based on implicit biases because of its unintentional nature, or do we punish discrimination regardless of how it comes about? The present experiments investigated the impact such theories have upon moral judgments about racial discrimination. The results (...) show that different theories differ in their impact on moral judgments: when implicit biases are defined as unconscious, people hold the biased agent less morally responsible than when these biases are defined as automatic (i.e., difficult to control), or when no theory of implicit bias is provided. (shrink)

In this study, we used a word search puzzle paradigm to investigate age differences in the rate of information gain and the cues used to make patch-departure decisions in information foraging. The likelihood of patch departure increased as the profitability of the patch decreased generally. Both younger and older adults persisted past the point of optimality as defined by the marginal value theorem, which assumes perfect knowledge of the foraging ecology. Nevertheless, there was evidence that adults were rational in terms (...) of being sensitive to the change in RG for making the patch-departure decisions. However, given the limitations in cognitive resources and knowledge about the ecology, the estimation of RG may not be accurate. Younger adults were more likely to leave the puzzle as the long-term RG incrementally decreased, whereas older adults were more likely to leave the puzzle as the local RG decreased. However, older adults with better executive control were more likely to adjust their likelihood of patch-departure decisions to the long-term change in RG. Thus, age-dependent reliance on the long-term or local change in RG to make patch-departure decisions might be due to individual differences in executive control. (shrink)

ABSTRACTEvaluative conditioning procedures change people’s evaluations of stimuli that are paired with pleasant or unpleasant items. To test whether influence awareness allows people to resist such...

Addictive behaviour has qualities that make it ideal for study using implicit techniques. Addictive behaviours are mediated in part by automatic responses to drug cues, and there is sometimes social pressure to distort self-reports. However, relationships between implicit attitudes and addictive behaviours have been inconsistent. Using a new implicit measure, the affect misattribution procedure (AMP), we found consistent evidence that drinking-related behaviours are systematically related to implicit attitudes. The procedure predicted a behavioural choice to drink beer and self-reported typical drinking (...) tendencies, including hazardous drinking and alcohol-related problems. The AMP showed larger relationships with drinking behaviour than other implicit measures, and explained unique variance in drinking beyond those measures and beyond explicit measures. Though self-presentation distorted self-reports, it did not affect AMP scores. These studies highlight the importance of automatic affective responses in addictive behaviour and suggest a useful means for measuring those responses. (shrink)

In light of an historical obsession with human error, Krueger & Funder (K&F) suggest that social psychologists should emphasize the strengths of social perception. In our view, however, absolute levels of accuracy (or error) in any given experiment are less important than underlying processes. We discuss the use of the process-dissociation procedure for gaining insight into the mechanisms underlying accuracy and error.

Cesario argues that experiments cannot illuminate real group disparities because they leave out factors that operate in ordinary life. But what Cesario calls flaws are, in fact, the point of the experimental method. Of all the topics in science, we have to wonder why racial discrimination would be uniquely unsuited for investigating with experiments. The argument to give up the most powerful scientific method to study one of the hardest problems we confront is laughable.

Most people in the United States agree they want some income inequality but debate exactly how much is fair. High‐status people generally prefer more inequality than low‐status individuals. Here we examine how much preferences for inequality are (or are not) driven by self‐interest. Past work has generally investigated this idea in two ways: The first is by stratifying preferences by income, and the second is by randomly assigning financial status within lab‐constructed scenarios. In this paper, we develop a method that (...) combines both experimental control and the social experience of inequality—a simulated society experiment. Across two experiments (N = 138, observations = 690), participants voted on the distribution of rewards—first behind a veil of ignorance, and then when they were randomly assigned a status within a game of chance. Status varied repeatedly across five rounds, allowing us to measure dynamic preferences. Under the veil of ignorance, people preferred inequality favoring the top status. When the veil of ignorance disappeared, self‐interest immediately influenced inequality preferences. Those who randomly landed in top positions were satisfied with the status quo established under the veil of ignorance, whereas those who randomly landed in bottom positions wanted more equality. Yet these preferences were not stable; decisions about the optimal level of inequality changed according to changes in social status. Our results also showed that, when inequality grows in a society, preferences regarding inequality become polarized by social status. Individuals in low‐status positions, particularly, tend to demand more equality. (shrink)

As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as (...) potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures’ unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists’ cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems. (shrink)