The effects of mortality salience on escalation of commitment

Based on propositions derived from terror management theory (TMT), the current study proposes that people who are reminded of their mortality exhibit a higher degree of self-justification behavior to maintain their self-esteem. For this reason, they could be expected to stick with their previous decisions and invest an increasing amount of resources in those decisions, despite the fact that negative feedback has clearly indicated that they might be on a course toward failure (i.e., "escalation of commitment"). Our experiment showed that people who were reminded of their mortality were more likely to escalate their level of commitment by maintaining their current course of action. Two imaginary scenarios were tested. One of the scenarios involved deciding whether to send additional troops into the battlefield when previous attempts had failed; the other involved deciding whether to continue developing an anti-radar fighter plane when the enemy had already developed a device to detect it. The results supported our hypothesis that mortality salience increases the tendency to escalate one's level of commitment.     

Does learning behavior augment cognitive ability as an indicator of academic achievement?

Measures of cognitive ability have a rich history of accounting for meaningful levels of achievement variance. In contrast to other student characteristics, however, they are somewhat limited in terms of their intervention relevance and treatment validity. Alternatively, children's observable learning behaviors are believed to enhance both treatment validity and the predictions afforded by cognitive ability. This study examined student learning behaviors in the context of cognitive ability and academic achievement. Three structural models were evaluated on a sample of 1304 students ranging in age from 6 to 17 years. Results supported the unique relationship between learning behavior and academic achievement, beyond cognitive ability. Multi-group structural equation modeling (SEM) analysis revealed that these findings were invariant across groups differing by gender and ethnicity. These findings are consistent with previous observations that children's behavioral features in learning situations will supplement the outcome-oriented standardized tests of cognitive ability.     

Relationship between hemispatial inattention and performance of activities of daily living in patients with schizophrenia

This study investigated the relation of hemispatial inattention to the performance of daily functions in 32 patients with schizophrenia or schizoaffective disorder and in 31 healthy controls. They were tested on the relationship between a target cancellation task and the Activities of Daily Living Rating Scale-II (ADLRS-II). According to the results of the hemispatial inattention test, the patients with schizophrenia made more omissions in the cancellation test than the controls. In addition, the results showed a significant correlation between number of omissions on the cancellation test and the ADLRS-II score in the study participants. A statistically significant relationship was observed between hemispatial inattention and the functional status of patients with schizophrenia, and suggests the need to incorporate measures of visual attention into psychiatric rehabilitation assessments.     

Dual Trajectories of Sleep Duration and Cigarette Smoking during Adolescence: Relation to Subsequent Internalizing Problems

Decreasing sleep duration and increasing cigarette smoking of adolescents are major public health concerns. However, research examining connections between the developmental trajectories of the outcomes that are evolving contemporaneously and their relation to long-term outcomes is still lacking. This study examined distinct trajectories of sleep duration and cigarette smoking during adolescence, associations between these trajectories, and links with internalizing problems during young adulthood. Data were collected from 2510 adolescents who participated in a longitudinal study spanning from 2006 through 2014 in northern Taiwan. Group-based dual trajectory modeling was used to examine the dynamic relationships between sleep duration and cigarette smoking trajectories during adolescence. Multiple linear regression was used to understand the association between the distinct trajectories and subsequent internalizing problems. Three sleep duration trajectories (short decreasing, typical sleep, and long sleep) and three cigarette smoking trajectories (nonsmokers, late increasing, and escalating smokers) were identified. We found significant inter-relationships for sleep duration and cigarette smoking trajectories during adolescence; all atypical sleep duration trajectories conferred increased risks of increased cigarette smoking and vice versa. In addition, the effects of sleep duration and cigarette smoking on later internalizing problems were found to vary by sex and trajectory patterns. These results provide insight regarding the co-development of sleep duration and cigarette smoking trajectories during adolescence. We also highlight the different roles of sleep duration and cigarette smoking trajectories and their relation to internalizing problems of young adulthood.     

Phonological encoding in the attentional blink paradigm

The attentional blink refers to a deficit in reporting a second target that follows a first target within a few hundred milliseconds, when both targets occur in a sequence of distractors shown serially at rates of about 10 items per second. In four experiments, phonological similarity of post-Target 1 distractors impaired dual target report within the interval in which the attentional blink occurs. Similarity of letter targets had a smaller, less reliable effect on performance. Phonological similarity of letter distractors did not affect single target identification (Experiment 3), but it continued to impair dual target report (Experiment 5), even when the targets belonged to a different category—namely, digits. The results demonstrated that, not only targets, but also distractors are encoded phonologically, despite the fact that distractors are irrelevant and never have to be reported.     

Learning HMM-based cognitive load models for supporting human-agent teamwork

Cognitive studies indicate that members of a high performing team often develop shared mental models to predict others’ needs and coordinate their behaviors. The concept of shared mental models is especially useful in the study of human-centered collaborative systems that require humans to team with autonomous agents in complex activities. We take the position that in a mixed human-agent team, agents empowered with cognitive load models of human team members can help humans develop better shared mental models to enhance team performance. Inspired by human information processing system, we here propose a HMM-based load model for members of human-agent teams, and investigate the development of realistic cognitive load models. A cognitive experiment was conducted in team contexts to collect data about the observable secondary task performance of human participants. The data were used to train hidden Markov models (HMM) with varied numbers of hypothetical hidden states. The result indicates that the model spaces have a three-layer structure. Statistical analysis also reveals some characteristics of the models at the top-layer. This study can be used in guiding the selection of HMM-based cognitive load models for agents in human-centered multi-agent systems.