Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera

In this article, we examine the performance of different eye blink detection algorithms under various constraints. The goal of the present study was to evaluate the performance of an electrooculogram- and camera-based blink detection process in both manually and conditionally automated driving phases. A further comparison between alert and drowsy drivers was performed in order to evaluate the impact of drowsiness on the performance of blink detection algorithms in both driving modes. Data snippets from 14 monotonous manually driven sessions (mean 2 h 46 min) and 16 monotonous conditionally automated driven sessions (mean 2 h 45 min) were used. In addition to comparing two data-sampling frequencies for the electrooculogram measures (50 vs. 25 Hz) and four different signal-processing algorithms for the camera videos, we compared the blink detection performance of 24 reference groups. The analysis of the videos was based on very detailed definitions of eyelid closure events. The correct detection rates for the alert and manual driving phases (maximum 94%) decreased significantly in the drowsy (minus 2% or more) and conditionally automated (minus 9% or more) phases. Blinking behavior is therefore significantly impacted by drowsiness as well as by automated driving, resulting in less accurate blink detection.     

Acceptability,Feasibility, and Effectiveness of Internet-Based Cognitive-Behavioral Therapy for Obsessive-Compulsive Disorder in New York

Cognitive-behavioral therapy (CBT), consisting of exposure and response prevention (EX/RP), is both efficacious and preferred by patients with obsessive–compulsive disorder (OCD), yet few receive this treatment in practice. This study describes the implementation of an Internet-based CBT program (ICBT) developed in Sweden in individuals seeking OCD treatment in New York. After translating and adapting the Swedish ICBT for OCD, we conducted an open trial with 40 adults with OCD. Using the RE-AIM implementation science framework, we assessed the acceptability, feasibility, and effectiveness of ICBT. The Yale–Brown Obsessive Compulsive Scale (Y-BOCS) was the primary outcome measure. Of 40 enrolled, 28 participants completed the 10-week ICBT. In the intent-to-treat sample (N = 40), Y-BOCS scores decreased significantly over time (F = 28.12, df = 2, 49, p < . 001). Depressive severity (F = 5.87, df = 2, 48, p < . 001), and quality of life (F = 12.34, df = 2, 48, p < . 001) also improved. Sensitivity analyses among treatment completers (N = 28) confirmed the intent-to-treat results, with a large effect size for Y-BOCS change (Cohen’s d = 1.38). ICBT took less time to implement than face-to face EX/RP and participants were very to mostly satisfied with ICBT. On a par with results in Sweden, the adapted ICBT program reduced OCD and depressive symptoms and improved quality of life among individuals with moderate to severe OCD. Given its acceptability and feasibility, ICBT deserves further study as a way to increase access to CBT for OCD in the United States.     

Integrating Covariates into Social Relations Models: A Plausible Values Approach for Handling Measurement Error in Perceiver and Target Effects

The Social Relations Model (SRM) is a conceptual and analytical approach to examining dyadic behaviors and interpersonal perceptions within groups. In an SRM, the perceiver effect describes a person's tendency to perceive other group members in a certain way, whereas the target effect measures the tendency to be perceived by others in certain ways. In SRM research, it is often of interest to relate these individual SRM effects to covariates. However, the estimated individual SRM effects might not provide a very reliable measure of the true, unobserved SRM effects, resulting in distorted estimates of associations with other variables. This article introduces a plausible values approach that allows users to correct for measurement error when assessing the association of individual SRM effects with other individual difference variables. In the plausible values approach, the latent, true individual SRM effects are treated as missing values and are imputed from an imputation model by applying Bayesian estimation techniques. In a simulation study, the statistical properties of the plausible values approach are compared with two approaches that have been used in previous research. A data example from educational psychology is presented to illustrate how the plausible values approach can be implemented with the software WinBUGS.     

When immigrant groups “misbehave”: The influence of perceived deviant behavior on increased threat and discriminatory intentions and the moderating role of right‐wing authoritarianism

In two studies, we tested the relationship between non‐immigrant individuals' perceptions of deviant behavior carried out by Muslims and foreigners and discriminatory intentions towards these outgroups. Based on a longitudinal and a representative cross‐sectional sample, we showed that two different types of perceived deviant behavior (Study 1, Muslims' unwillingness to integrate; and Study 2, foreigners' hostility towards the non‐immigrant majority group) are related to increased intergroup threat, which in turn is related to increased intentions to show passive discrimination (i.e., avoidance) towards these outgroups. In line with theorizing about an increased sensitivity for threat in authoritarian individuals, the relationship between perceptions of deviant behavior and threat was especially strong among high authoritarian individuals. Theoretical and practical implications of our results are discussed.