Measurement invariance of the driving inattention scale (ARDES) across 7 countries.

The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of individual differences in driving inattention. ARDES was originally developed in Spanish (Argentina), and later adapted to other countries and languages. Evidence supporting the reliability and validity of ARDES scores has been obtained in various different countries.

COVID-19 masks increase the influence of face recognition algorithm decisions on human decisions in unfamiliar face matching.

Face masks, recently adopted to reduce the spread of COVID-19, have had the unintended consequence of increasing the difficulty of face recognition. In security applications, face recognition algorithms are used to identify individuals and present results for human review. This combination of human and algorithm capabilities, known as human-algorithm teaming, is intended to improve total system performance.

Evaluating spatial accessibility to COVID-19 vaccine resources in diversely populated counties in the United States.

This study examines the accessibility to COVID-19 vaccination resources in two counties surrounding Newark, NJ in the New York Metropolitan Area, United States. The study area represents diverse population makeups. COVID-19 vaccines were made available by different types of vaccination sites including county mass vaccination sites, medical facilities and pharmacies, and a FEMA community vaccination center in spring 2021.

Detecting and Quantifying Mind Wandering during Simulated Driving.

Mind wandering is a pervasive threat to transportation safety, potentially accounting for a substantial number of crashes and fatalities. In the current study, mind wandering was induced through completion of the same task for 5 days, consisting of a 20-min monotonous freeway-driving scenario, a cognitive depletion task, and a repetition of the 20-min driving scenario driven in the reverse direction. Participants were periodically probed with auditory tones to self-report whether they were mind wandering or focused on the driving task.

Multiple interpretations of long-term working memory theory: Reply to Delaney and Ericsson (2016).

This reply is in response to Delaney and Ericsson (2016), who argue that the results of our recent research (Foroughi, Werner, Barragán, & Boehm-Davis, 2015) can be explained by Ericsson and Kintsch's (1995) long-term working memory (LTWM) theory. Our original work was designed to test the prediction made by LTWM theory that interruptions of up to 30 s in duration would not disrupt reading performance. We conducted the work following the method and outcome measures recommended by Ericsson and Kintsch (1995).

Validation of the Attention-Related Driving Errors Scale (ARDES) in an English-Speaking Sample.

Objective: The goal for this study was to develop an English translation of the Attention-Related Driving Errors Scale (ARDES-US) and to determine its potential relationship with driver history and other demographic variables.

Background: Individual differences in performance on vigilance and cognitive tasks are well documented, but less is known about susceptibility to attention-related errors while driving. The ARDES has been developed and administered in both Spanish and Chinese but to our knowledge has never been administered or examined in an English-speaking population.

Interruptions disrupt reading comprehension.

Previous research suggests that being interrupted while reading a text does not disrupt the later recognition or recall of information from that text. This research is used as support for Ericsson and Kintsch's (1995) long-term working memory (LT-WM) theory, which posits that disruptions while reading (e.g.