Exploring Predictors of Older Adults\u27 Performance on a Novel Driving Simulator Task

On a per-mile driven basis, older adults are at increased risk of being involved in an automobile accident. The development and implementation of driving assessment tools is necessary to inform decisions about driving reduction and cessation. Driving simulators are one method of assessing driving performance and safety, however many simulators are cost-prohibitive for most researchers and clinicians. Additionally, while driving performance has been previously explored with respect to clinical populations (e.g., Alzheimer’s Disease), less work has evaluated this topic in a cognitively healthy sample. The present study sought to determine whether a novel, cost-effective driving simulator (Assetto Corsa (AC)) might be useful in the evaluation of driving performance in a sample of cognitively healthy older adults. A total of 53 participants completed a battery of paper-and-pencil and computerized cognitive performance measures and self-reports regarding their driving safety and behaviors, and a subset of participants (n = 35) completed the driving simulator task. Hierarchical regressions revealed that paper-and-pencil measures of simple attention and executive functioning and a computerized measure of processing speed were associated with aspects of driving simulator performance. Pearson correlation coefficients revealed that lower self-rated driving was associated with slower completion of the simulator task, and decrements in several cognitive domains were associated with greater self-reported difficulty driving in various conditions, greater aberrant driving behaviors, and higher likelihood of having legal difficulties as a result of driving (e.g., traffic tickets). Implications for future work are discussed

Identification of road user related risk factors, deliverable 4.1 of the H2020 project SafetyCube.

Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the first deliverable (4.1) of work package 4 which is dedicated to identifying and assessing human related risk factors and corresponding countermeasures as well as their effect on road safety. The focus of deliverable 4.1 is on identification and assessment of risk factors and describes the corresponding operational procedure and corresponding outcomes. The following steps have been carried out: Identification of human related risk factors – creation of a taxonomy Consultation of relevant stakeholders and policy papers for identification of topic with high priority (‘hot topics’) Systematic literature search and selection of relevant studies on identified risk factors •Coding of studies •Analysis of risk factors on basis of coded studies •Synopses of risk factors, including accident scenarios The core output of this task are synopses of risk factors which will be available through the DSS. Within the synopses, each risk factor was analysed systematically on basis of scientific studies and is further assigned to one of four levels of risk (marked with a colour code). Essential information of the more than 180 included studies were coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the risk factor and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections are readable independently. It is important to note that the relationship between road safety and road user related risk factors is a difficult task. For some risk factors the available studies focused more on conditions of the behaviour (in which situations the behaviour is shown or which groups are more likely to show this behaviour) rather than the risk factor itself. Therefore, it cannot be concluded that those risk factors that have not often been studied or have to rely more indirect and arguably weaker methodologies, e.g. self-reports , do not increase the chance of a crash occurring. The following analysed risk factors were assessed as ‘risky’, ‘probably risky’ or ‘unclear’. No risk factors were identified as ‘probably not risky’. Risky Probably risky Unclear • Influenced driving – alcohol • Influenced Driving – drugs (legal & illegal) • Speeding and inappropriate speed • Traffic rule violations – red light running • Distraction – cell phone use (hand held) • Distraction – cell phone use (hands free) • Distraction – cell phone use (texting) • Fatigue – sleep disorders – sleep apnea • Risk taking – overtaking • Risk taking – close following behaviour • Insufficient knowledge and skills • Functional impairment – cognitive impairment • Functional impairment – vision loss • Diseases and disorders – diabetes • Personal factors – sensation seeking • Personal factors – ADHD • Emotions – anger, aggression • Fatigue – Not enough sleep/driving while tired • Distraction – conversation with passengers • Distraction – outside of vehicle • Distraction – cognitive overload and inattention • Functional impairment – hearing loss (few studies) • Observation errors (few studies) • Distraction – music – entertainment systems (many studies, mixed results) • Distraction – operating devices (many studies, mixed results) The next step in SafetyCube’s WP4 is to identify and assess the effectiveness of measures and to establish a link to the identified risk factors. The work of this first task indicates a set of risk factors that should be centre of attention when identifying corresponding road safety measures (category ‘risky’)

Exploring the Concurrent Validity of the Indoor Mobility Pre-driving Screen (IMPS): A Comparison of the IMPS and EF-Car Motion Driving Simulator.

This paper details the results of a non-experimental assessment comparison study of concurrent validity in which the Indoor Mobility Pre-driving Screen (IMPS) is compared to an EF-Car Motion Driving Simulator. 36 participants completed both assessments concurrently. Collected data was analyzed using descriptive statistics and Pearson\u27s r correlations. Results show low to moderate correlations between the compared assessments

Working Memory Capacity and Executive Attention as Predictors of Distracted Driving

The present study empirically examined the effects of working memory capacity (WMC) and executive attention on distracted driving. Study 1 examined whether a Grocery List Task (GLT) distractor would load onto WMC. Forty-three participants completed a series of WMC tasks followed by the GLT. They then completed two driving trials: driving without the GLT and driving while completing the GLT. It was hypothesized that WMC would positively correlate with GLT performance. A bivariate correlation indicated that WMC was positively associated with performance on the GLT. Study 2 tested a series of distractor tasks (GLT, Tone Monitoring, and Stop Signal) to examine whether these three distractor tasks were also related to WMC, and if each of the distractor tasks would result in poor driving performance. Eighty-four participants were randomly assigned to the distractor conditions. Results indicated that GLT was related to WMC, but Tone Monitoring was not related to WMC. Also, engaging in each of the three distractor tasks led to significantly poorer driving performance. Study 3 evaluated whether rainy or clear weather conditions would affect the relationship between WMC and distracted driving using the same three distractor tasks (GLT, Tone Monitoring, and Stop Signal) as used in Study 2. Ninety-six participants were randomly assigned to the distractor conditions. Results showed that engaging in GLT while driving led to slower braking response times compared to not engaging in GLT driving while driving. Furthermore, WMC moderated the degree to which distraction impaired performance. The present findings clearly indicate that all three distractor tasks had a deleterious effect on driving performance. Furthermore, this effect of distraction on driving depends on many factors, including the type of distraction, the driving performance measure, and the individual\u27s cognitive capabilities. Both theoretical and practical implications are discussed and directions for future research are presented

Electrophysiological biomarkers of chemotherapy-related cognitive impairment in hematological malignancy patients

Multiple cancer populations frequently report cognitive impairment following treatment with chemotherapy agents (“chemo-brain”). Impaired neuropsychological performance is commonly reported in cognitive domains of attention and executive function. Understanding neural mechanisms underlying cognitive impairments is essential to developing prevention and rehabilitation strategies. Brain imaging studies frequently show chemotherapy-related impairments within the attentional control network, which is comprised of a constellation of cortical regions that govern reportedly impaired cognitive functions. In the current dissertation research, I developed a novel electrophysiology battery aimed at recording near-instantaneous neural activity within the attentional control network during cognitive task performance. Cancer patients diagnosed with hematological malignancy (e.g. lymphoma, myeloma) completed three longitudinal assessments: (1) prior to starting chemotherapy, and following (2) one-month and (3) three-months of chemotherapy. Comparison groups included patients not receiving chemotherapy and demographically-matched healthy controls. Outcome measures provide initial support for contributions from both tumor biology and chemotherapy toxicity to functional changes in attentional control network activity. Furthermore, both cancer groups showed evidence for reduced information processing capacity while completing a simulation of naturalistic driving behavior. These results provide a unique platform for understanding basic neural mechanisms and translational impacts of attentional control impairment in cancer patients. Future large-scale studies must be committed to confirming these results, and further innovative work is necessary to confirm the link between previous brain imaging studies and cognitive electrophysiology measures used here. Innovative chemotherapies are improving survivorship among cancer patients. Thus, ensuring long-term quality of life among our growing cancer survivor population is paramount to achieving the highest level of public health and safety