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- All Subjects: affordance management
- All Subjects: Cognitive Tunneling
- Creators: Becker, David V
Description
Modern day driving continues to burgeon with attention detractors found inside and outside drivers' vehicles (e.g. cell phones, other road users, etc.). This study explores a regularly disregarded attention detractor experienced by drivers: self-regulation. Results suggest self-regulation and WMC has the potential to affect attentional control, producing maladaptive changes in driving performance in maximum speed, acceleration, and time headway.
ContributorsSinocruz, Jerome Q (Author) / Sanchez, Christopher A (Thesis advisor) / Branaghan, Russel J (Committee member) / Becker, David V (Committee member) / Arizona State University (Publisher)
Created2012
Description
Why do social perceivers use race to infer a target's propensity for criminal behavior and likelihood of re-offense? Life history theory proposes that the harshness and unpredictability of one's environment shapes individuals' behavior, with harsh and unpredictable ("desperate") ecologies inducing "fast" life history strategies (characterized by present-focused behaviors), and resource-sufficient and stable ("hopeful") ecologies inducing "slow" life history strategies (characterized by future-focused behaviors). Social perceivers have an implicit understanding of the ways in which ecology shapes behavior, and use cues to ecology to infer a target's likely life history strategy. Additionally, because race is confounded with ecology in the United States, American perceivers use race as a heuristic cue to ecology, stereotyping Black individuals as possessing faster life history strategies than White individuals. In the current project, I proposed that many race stereotypes about propensity for criminality and recidivism actually reflect inferences of life history strategy, and thus track beliefs about the behavioral effects of ecology, rather than race. In a series of three studies, I explored the relationship between ecology, race, and perceptions of criminal behavior. Participants in each experiment were recruited through an online marketplace. Findings indicated that (1) stereotypes regarding likelihood to engage in specific crimes were largely driven by beliefs about the presumed ecology of the offender, rather than the offender's race, such that Black and White targets from desperate (and hopeful) ecologies were stereotyped as similarly likely (or unlikely) to commit a variety of crimes; (2) lay beliefs about recidivism predictors likewise reflected inferences of life history strategy, and thus also tracked ecology rather than race; (3) when evaluating whether to release a specific offender on parole, participants placed greater importance on ecology information as compared to race information in a point allocation task, and prioritized ecology information over race information in a ranking task. Taken together, these findings suggest that beliefs about criminality and recidivism may not be driven by race, per se, but instead reflect inferences of how one's ecology shapes behavior. Implications of these findings for understanding and reducing racial bias in the criminal justice system are discussed.
ContributorsWilliams, Keelah (Author) / Neuberg, Steven L. (Thesis advisor) / Saks, Michael J. (Thesis advisor) / Becker, David V (Committee member) / Kenrick, Douglas T. (Committee member) / Arizona State University (Publisher)
Created2017
Description
Human operators are more prone to errors under high-workload conditions. However, error-commission research in cognitive science has been limited to studying behavior in single-choice reaction time tasks, which do not represent the complex multitasking scenarios faced in the real-world. In the current paper, prior evidence for a cognitive error-monitoring mechanism was applied toward predictions for how humans would react after making errors in a more ecologically valid multitasking paradigm. Previous work on neural and behavioral indices of error-monitoring strongly supports the idea that errors are distracting and can deplete attentional resources. Therefore, it was predicted that after committing an error, if a subject is subsequently presented with two simultaneously initiated task alerts (a conflict trial), they would be more likely to miss their response opportunity for one task and stay tunneled on the other task that originally caused the error. Additionally, it was predicted that this effect would dissipate after several seconds (under different lag conditions), making the error cascade less likely when subsequent tasks are delayed before presentation. A Multi-Attribute Task Battery was used to present the paradigm and collect post-error and post-correct performance measures. The results supported both predictions: Post-error accuracy was significantly lower as compared to post-correct accuracy (as measured through post-trial error rates). Post-trial error rates were also higher at shorter lags and dissipated over time, and the effects of pre-conflict performance on post-trial error rates was especially noticeable at shorter lags (although the interaction was not statistically significant). A follow-up analysis also demonstrated that following errors (as opposed to following correct trials), participants clicked significantly more on the task that originally caused the error (regardless of lag). This continued task-engagement further supports the idea that errors lead to a cognitive tunneling effect. The study provides evidence that in a multitasking scenario, the human cognitive error-monitoring mechanism can be maladaptive, where errors beget more errors. Additionally, the experimental paradigm provides a bridge between concepts originating in highly controlled methods of cognitive science research and more applied scenarios in the field of human factors.
ContributorsLewis, Christina Mary (Author) / Gutzwiller, Robert S (Thesis advisor) / Becker, David V (Committee member) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2021