Do people judge others based on the brands they use? Prior research finds evidence to this effect, yet we argue this phenomenon is far from universal. Drawing on research on implicit self‐theories, we find that only entity (but not incremental) theorists are prone to judging people based on their brand use (Studies 1 and 2). We show that entity theorists infer that people use brands to signal who they are to others, thereby forming perceptions of these people based on the personality of the brands they use, but incremental theorists are reluctant to make inferences about brand users’ signaling motives (Studies 3, 4, and 5). When tendencies to make signaling inferences are reduced, entity theorists no longer judge people based on their brand use (Studies 3 and 4). Furthermore, even incremental theorists judge people based on their brand use when given the information that their brand use is not driven by situational forces, but is potentially driven by a signaling motivation (Study 5). 相似文献
Previous studies uncovered that perceived parental monitoring, personality, and self-control were three important external and internal factors that influenced adolescents’ online deviant behaviors. However, as the dark side of personality, the Dark triad, which implies a disagreeable disposition, lack of humility, belief of being able to predict future outcomes and an opportunistic life strategy, has rarely been used to explore its relationship with online deviant behaviors. Based on problem behavior theory, general aggression model, and models of risk factors and protective factors on problem/deviant behaviors, the current study investigated the relationship among perceived parental monitoring, the Dark Triad, and self-control on online deviant behaviors. A total of 1921 middle and high school students (aged 11–18 years) from China reported their online deviant behaviors (cyberbullying behavior, Internet rumors, deception on the Internet, and cyber obscenity/pornography), perceived parental monitoring, and the Dark Triad as well as the self-control level of individuals. The results of the Pearson correlation showed there were significant correlations among perceived parental monitoring, the Dark Triad, and self-control on online deviant behaviors. The results of the structural equation model (SEM) indicated that the Dark Triad partially mediated the relationship between perceived parental monitoring and online deviant behaviors. Self-control moderated the mediation effect of the Dark Triad. Specifically, self-control weakened the positive relationship between the Dark Triad and online deviant behaviors, and increased the negative relationship between perceived parental monitoring and online deviant behaviors. Our findings expand the applicable environment of the Dark Triad and emphasize its association with online deviant behaviors. Attention should be paid to the interaction of internal traits (e.g., personality and self-control) and explicit family environment (e.g., perceived parental monitoring) in online deviant behavior interventions.
Performance on visual working memory tasks decreases as more items need to be remembered. Over the past decade, a debate has unfolded between proponents of slot models and slotless models of this phenomenon (Ma, Husain, Bays (Nature Neuroscience 17, 347-356, 2014). Zhang and Luck (Nature 453, (7192), 233-235, 2008) and Anderson, Vogel, and Awh (Attention, Perception, Psychophys 74, (5), 891-910, 2011) noticed that as more items need to be remembered, “memory noise” seems to first increase and then reach a “stable plateau.” They argued that three summary statistics characterizing this plateau are consistent with slot models, but not with slotless models. Here, we assess the validity of their methods. We generated synthetic data both from a leading slot model and from a recent slotless model and quantified model evidence using log Bayes factors. We found that the summary statistics provided at most 0.15 % of the expected model evidence in the raw data. In a model recovery analysis, a total of more than a million trials were required to achieve 99 % correct recovery when models were compared on the basis of summary statistics, whereas fewer than 1,000 trials were sufficient when raw data were used. Therefore, at realistic numbers of trials, plateau-related summary statistics are highly unreliable for model comparison. Applying the same analyses to subject data from Anderson et al. (Attention, Perception, Psychophys 74, (5), 891-910, 2011), we found that the evidence in the summary statistics was at most 0.12 % of the evidence in the raw data and far too weak to warrant any conclusions. The evidence in the raw data, in fact, strongly favored the slotless model. These findings call into question claims about working memory that are based on summary statistics. 相似文献
Despite the increased use of sensor technologies, including unmanned vehicles, the vast majority of improvised explosive device (IED) detections are made by human vision. Thus, TRAC-Monterey developed a simulation-based training prototype called the perceptual learning trainer (PLT). Fourteen novice and 5 expert IED detectors participated in human-in-the-loop experiments in which all participants were trained using the PLT tool while their eye-movement and IED detection performance were tracked in real-time. A series of 100 IED images with various degrees of difficulty was used for the training session. Pre- and posttraining assessments were conducted. Both speed and accuracy improved after just 1 session of the PLT training: RT decreased by 3.7 s for novices (p < .001) and 3.4 s for experts (p = .031), and detection probability increased by 5.9% for novices (p = .001). The PLT tool improved IED detection performance more in novice IED detectors than in experts. Novices and experts showed different visual scan patterns. 相似文献