Exploring the nature of cognitive flexibility

Cognitive flexibility is an important characteristic that helps humans pursue complex tasks, such as multitasking and finding novel, adaptable solutions to changing demands. Yet it is still a poorly understood construct. After briefly reviewing several investigations of this construct in cognitive science, I propose a unified account that considers cognitive flexibility a property of the cognitive system, rather than a cognitive skill. The emergence of cognitive flexibility is dependent on two kinds of interactions: the interaction of several cognitive mechanisms, and the interaction of sensorimotor mechanisms, cognition, and context in developmental time. The quest for a comprehensive and unified account of cognitive flexibility is highly justified given its potential usefulness in fostering efficient problem solving and creativity.     

The past,present, and future of computational models of cognitive development

Does modeling matter? We address this question by providing a broad survey of the computational models of cognitive development that have been proposed and studied over the last three decades. We begin by noting the advantages and limitations of computational models. We then describe four key dimensions across which models of development can be organized and classified. With this taxonomy in hand, we focus on how the modeling enterprise has evolved over time. In particular, we separate the timeline into three overlapping historical waves and highlight how each wave of models has not only been shaped by developmental theory and behavioral research, but in return also provided valuable insights and innovations to the study of cognitive development.     

Gaze tracking patterns on different types of traffic risk in early-stage Alzheimer’s disease

Many fatal accidents are caused by the driver’s inability, upon the occurrence of sudden events, to detect hazards in time, an ability that is based on the driver’s eye movement patterns, the detection of involved persons, events, objects, as well as the length of time spent on noticing same. This study intends to compare risk perception and decision-making in high-risk traffic situations between individuals with AD and controls by exploring gaze tracking and hazard detection patterns. The study included 16 individuals with early-stage AD and 26 controls. During the experiment, participants underwent several vision and cognitive tests and watched twelve videos of high-risk traffic situations while their eye movement patterns were being recorded by the eye tracking device, in order to understand how cognitive abilities affect eye movement patterns during high-risk traffic situations. The results revealed poorer cognitive abilities and diminished risk perception in individuals with AD compared with the controls and thus an inability to predict potential accidents. In terms of high-risk traffic situations involving pedestrians, traffic violations by others and view-blocking events, a significant difference in gaze patterns was found between individuals with AD and healthy seniors. The contribution of this study is in elaborating the effect of different traffic event type and specific cognitive abilities on traffic risk-detection in individuals with AD. The results of this study may aid in the formulation of driver licensing policies and the design of traffic scenarios; they also elucidate the driving behaviors of individuals with AD.     

Competence in Delivering Cognitive Processing Therapy and the Therapeutic Alliance Both Predict PTSD Symptom Outcomes

Cognitive Processing Therapy (CPT) is efficacious in treating PTSD, but there remains a need to improve outcomes for individuals who do not fully respond to treatment. Differences between patient-therapist dyads in the fidelity (i.e., adherence and competence) of CPT delivery and the quality of the therapeutic relationship may partly explain differential levels of symptom improvement. Sessions were sampled from a randomized trial comparing different consultation conditions in training therapists new to CPT. Among 69 patients, one session from Sessions 1–3 and one session from Sessions 4–7 were reliably rated for adherence and competence using the CPT Therapist Adherence and Competence Scale, and for therapeutic alliance using the Working Alliance Inventory-Observer scale. Mixed models, including detrending using a fixed effect of session, predicted self-reported Posttraumatic Stress Disorder Checklist (PCL-IV) scores in one session using process scores from the previous session. The statistical interaction between fidelity and alliance scores to predict outcome was also examined. Alliance had significant, positive correlations (rs = 0.18–0.21) with same-session adherence and competence. Higher competence scores and higher therapeutic alliance scores in one session were independently associated with lower PCL-IV scores in the subsequent session. Adherence scores, which tended to be very high with relatively less variability, did not significantly relate to subsequent-session PCL-IV scores. Competence significantly interacted with alliance, such that sessions high in both competence and alliance predicted especially lower subsequent-session PCL-IV scores. A strong therapeutic alliance may have a synergistic, salutary effect with the competent delivery of CPT.     

Client Versus Clinicians’ Standards of Clinically Meaningful Change and the Effects of Treatment Expectations on Therapeutic Outcomes in Individuals With Posttraumatic Stress Disorder

There is limited research on the concordance between client perceptions and clinician standards of the degree of symptom change required to achieve meaningful therapeutic improvement. This was investigated in an adult sample (N = 147) who received trauma-focused cognitive-behavioral therapies for posttraumatic stress disorder (PTSD). We examined whether clients’ benchmarks of change were related to actual outcomes and the relationship between client expectations and their treatment outcomes. Clients completed measures indexing the level of symptom reduction required (in their view) to reflect a benefit or recovery from treatment and treatment expectations. Actual PTSD severity was indexed pre- and posttreatment via self-report and clinician-administered interview. Results demonstrated that the amount of change clients said they required to experience a benefit or recovery was significantly larger than typical clinical research standards. Nonetheless, the majority of client benchmarks of change (79.7–81.8%) were consistent with clinical research standards of what constitutes benefit or recovery. Client benchmarks were generally positively correlated with their actual outcomes. Clients’ belief that treatment would be successful was associated with greater reductions in PTSD symptoms. These findings provide preliminary evidence that the standards used to determine clinically significant change are somewhat consistent with clients’ own perceptions of required symptom change.     

A Single-Session Online Cognitive Bias Modification of Interpretations Modified for Adults With Anxiety and Depressive Symptoms

Anxiety and depression are common, co-occurring, and costly mental health disorders. Cognitive bias modification aims to modify biases to reduce associated symptoms. Few studies have targeted multiple biases associated with both anxiety and depression, and those that have lacked a control condition. This study piloted a single-session online cognitive bias modification (known as CBM-IA) designed to target two biases associated with anxiety and depression—interpretation bias and attribution style—in adults with varying levels of anxiety and depressive symptoms. Participants (18–26 years) with at least mild levels of anxiety/stress and depressive symptoms on the DASS-21 were randomly allocated to an intervention (n = 23) or a control (n = 22) condition. The training consisted of a single-session online CBM-IA to encourage positive interpretations and a positive attribution style.Interpretation bias, attribution style, anxious and depressive mood states, and anxiety, stress and depressive symptoms improved at posttraining and at follow-up, irrespective of condition. Changes in interpretation bias from pre- to posttraining were significantly associated with changes in anxious mood state. CBM-IA, as implemented in this single-session pilot study, did not significantly reduce targeted biases and symptoms compared to a control condition. This adds to the mixed evidence on the efficacy of single-session CBM-I for altering biases and symptoms.     

Interpretational Biases in Emotional Psychopathology

Many psychological disorders are characterized by interpretational processing biases, and Aaron T. Beck's work provided a crucial theoretical foundation for assessing, treating, and researching them. The present commentary aims to sketch a brief historical overview of how this work evolved and developed, and how it has been translated into concrete assessment techniques for use in treatment and led to innovative research lines in clinical research.     

Understanding the immediate aftereffects of road traffic crashes in Argentina: The role of injury

The current paper reports a field study of 132 Argentinian individuals who experienced a road traffic crash (RTC), focusing on the role of physical injury in the early aftermath of the crash. Three groups of participants were studied: 1) individuals who were <1 month post-RTC who were not injured (<1 mo, Not Injured, n = 89), 2) individuals who were <1 month post-RTC who were injured (<1 mo, Injured, n = 15), and 3) individuals who were 1–3 months post-RTC who were injured (1–3 mo, Injured, n = 28). Examination of PTSD symptoms indicated that with several exceptions, most PTSD symptoms were endorsed at higher levels by the two injured groups, relative to the not injured group. Consideration of post-RTC cognitive and interpersonal factors indicated that the two injured groups reported lower self-efficacy and higher levels of rumination, relative to the Not Injured group. Additionally, the 1–3 mo Injured group reported being more socially isolated, relative to the two other groups. Results are discussed in light of related literature, with elaboration of potential public health interventions designed to target injured survivors of RTCs.     

The influence of personality and cognitive failures on distracted driving behaviors among young adults

Distracted driving is a major safety concern. This paper explores the role personality traits and self-reported cognitive failures play in the propensity towards distracted driving behavior (DDB) among young adults in the United States. Two independent time-separated studies (study 1 with 522 participants; study 2 with 314 participants) confirm the role of cognitive failures as a mediator between specific personality traits and DDB propensity among young adult drivers. The results of this study suggest drivers’ personality traits such as extraversion, conscientiousness, and neuroticism have a direct impact on DDB propensity. In addition, there is evidence that cognitive failure mediates the relationship between these three personality traits and DDB propensity. Lastly, based on the results, agreeableness moderates the relationship between cognitive failure and DDB propensity. Together, these findings suggest that personality traits should be considered in conjunction with driver’s cognitive failure in explaining DDB propensity. Future research using a combination of self-reported, naturalistic and simulation studies may provide additional insight into the relationships between personality traits, cognitive failures, and the propensity towards DDB.     

Multimodal travel behaviour,attitudes, and cognitive dissonance

Multimodal travel behaviour, also termed multimodality, refers to as the phenomenon of an individual using more than one mode of transport in a given period. Studies indicate that encouraging multimodality may provide a solution to induce modal shifts towards sustainable transport. In this research, we investigate the distribution of mode-specific attitudes and attitude-mode use incompatibilities across clusters and levels of multimodality using the Netherlands Mobility Panel. We find that the most positive attitude does not necessarily correspond to the mode with the highest level of use. Attitudes towards car use are most positive, independent of the cluster membership and levels of multimodality. We also find that multimodal public transport users (compared with car-dominant users) and those with a higher level of multimodality are more likely to be attitudinally incompatible with frequently-used modes and the composition of their existing mode sets of travelling. This suggests that multimodal individuals may tend to experience cognitive dissonance with their mode use. Our findings also help uncover the psychological mechanism underlying a recent important finding that multimodal individuals are inclined to change their mode use patterns over time.