Strategic changes in task performance in simulated car driving as an adaptive response to task demands

Car drivers appear to reduce their driving speed in high task demand situations. Summala's [Safety Sci. 22 (1996) 103–117]; [in: J.A. Rothengatter, & E. Carbonell Vaya (Eds.), Traffic and Transport Psychology: Theory and Application, Pergamon, Oxford, 1997, pp. 41–52] model of behavioural adaptation (MBA) also assumes that drivers increase speed in low task demand situations or attend to additional tasks more. The present study investigated the relation between driving speed and task demands in simulated driving. Participants were observed under three speed conditions, driving fast, driving as if taking a driving test, and following a fast-driving car. The same route was driven twice under each of these speed conditions: once with and once without the concurrent performance of an auditory short-term memory task. All other things being equal, driving fast required more effort than driving more slowly, which was not compensated for by better memory performance. This refutes one assumption of the MBA. When following a fast-driving car, participants invested less effort than when driving fast. As auditory route guidance messages were embedded within the memory task, participants were forced to attend the memory task in all rides of the Fast and Accurate conditions, but not in the Car Following conditions. This can also explain why the memory task had no effect on cognitive effort. It is concluded that car drivers prioritise their task goals.     

Excessive use of reminders: Metacognition and effort-minimisation in cognitive offloading

People often use external reminders to help remember delayed intentions. This is a form of “cognitive offloading”. Individuals sometimes offload more often than would be optimal (Gilbert et al., 2020). This bias has been linked to participants’ erroneous metacognitive underconfidence in their memory abilities. However, underconfidence is unlikely to fully explain the bias. An additional, previously-untested factor that may contribute to the offloading bias is a preference to avoid cognitive effort associated with remembering internally. The present Registered Report examined evidence for this hypothesis. One group of participants received payment contingent on their performance of the task (hypothesised to increase cognitive effort, and therefore reduce the bias towards offloading); another group received a flat payment for taking part, as in the earlier experiment. The offloading bias was significantly reduced (but not eliminated) in the rewarded group, suggesting that a preference to avoid cognitive effort influences cognitive offloading.     

Task-induced fatigue states and simulated driving performance

States of fatigue are implicated in driver impairment and motor vehicle accidents. This article reports two studies investigating two possible mechanisms for performance impairment: (1) loss of attentional resources; and (2) active regulation of matching effort to task demands. The first hypothesis predicts that fatigue effects will be accentuated by high task demands, but the second hypothesis predicts that fatigue effects will be strongest in "underload" conditions. In two studies, drivers performed a stimulated driving task, in which task demands were manipulated by varying road curvature. In a "fatigue induction" condition, the early part of the drive was occupied by performance of a demanding secondary task concurrently with driving, after which the concurrent task ceased. Post-induction driving performance was compared with a control condition in which drivers were not exposed to the induction. In both studies, the fatigue induction elicited various subjective fatigue and stress symptoms, and also raised reported workload. Fatigue effects on vehicle control and signal detection were assessed during and after the fatigue induction. The fatigue induction increased heading error, reduced steering activity, and, in the second study, reduced perceptual sensitivity on a secondary detection task. These effects were confined to driving on straight rather than on curved road sections, consistent with the effort regulation hypothesis. The second study showed that fatigue effects were moderated by a motivational manipulation. Results are interpreted within a control model, such that task-induced fatigue may reduce awareness of performance impairment, rather than reluctance or inability to mobilize compensatory effort following detection of impairment.     

Measured increases in steering entropy may predict when performance will degrade: A driving simulator study

We investigated the effect of time-on-task on driver’s mental workload and driving performance during a simulated driving task. The extent of mental workload was estimated from steering entropy, while driver performance was measured from the Standard Deviation of Lateral Position (SDLP) and the Standard Deviation (SD) Sterring Angle. Seventeen participants underwent a simulated highway driving task for 60 min. The results show that mental workload increased significantly after 15 min, whereas driving performance did not degrade until 30 min. These results suggest that when drivers first affected by time-on-task, they can cope with the situation by increasing mental effort investment and can manage to perform normally for a while (15 min). Since changes in steering entropy precede changes in driving performance, this measure of mental workload may have utility as a predictor of increased accident risk.     

To go or not to go? Pupillometry elucidates inhibitory mechanisms in motor imagery

Motor imagery (MI) involves consciously performing an action in our minds without engaging in overt physical movement. Although inhibition is crucial to MI, few studies have explored the nature of inhibitory mechanisms underlying this construct. Therefore, little progress has been made in elucidating how or when inhibition is implemented during MI. The present study addressed this unresolved issue by measuring participants’ pupil dilation (an index of attentional effort) as they performed an inhibitory-control (Go/NoGo) procedure in a modified task-switching paradigm. The results showed that inhibitory mechanisms in MI may be implemented via various routes. When MI was the only movement mode used, minimal attentional effort was invested during the Go/NoGo responses, suggesting an early implemented, proactive inhibitory strategy. Conversely, when imagery was preceded by physical movement responses, inhibition required greater attentional effort and it appears as though more active and attention-demanding inhibitory processes must be employed.     

Implicit achievement motive limits the impact of task difficulty on effort-related cardiovascular response

In contrast to the motive literature, motivational intensity theory predicts that the implicit achievement motive (nAch) should only exert an indirect impact on effort by limiting the impact of task difficulty. To contrast these two views, sixty-eight participants with a low or high nAch performed an easy or difficult arithmetic task. Effort was assessed using cardiac pre-ejection period (PEP). Supporting motivational intensity theory’s view, PEP response was low in both easy-task conditions but stronger in the high-nAch group than in the low-nAch group in the difficult task. These findings suggest that nAch exerts an indirect effect on effort investment by setting the maximally justified effort instead of directly determining the amount of effort that is invested to satisfy the motive.     

Safe driving and road-crossing tasks: A particular case of successful transfer of learning

The current study examines whether crucial safe driving skills are associated with safe road-crossing skills as pedestrians. The main research question was whether skills that are acquired from the point of view of a driver are associated with the skills of pedestrians in different platforms or settings. Furthermore, the study examines whether task performance on one platform (driving) primes an operator for task performance on another (road-crossing as a pedestrian) or vice versa. Sixty people took part in this study and completed a demographic questionnaire, a Driving Behavior Questionnaire, a Pedestrian Behavior Scale and two computerized tests – a Hazard Perception Test for Drivers and a Hazard Perception Test for Pedestrians.We found that the better the participants detect hazards on the road as drivers, the better they detect hazards as pedestrians as well, and that most of the participants’ self-reported values regarding their driving and their road-crossing as pedestrians are correlated. The study revealed an association between years of seniority in driving and the number of driving hours per week, and some behavioral variables as pedestrians – meaning that exposure to the road as a driver may be related to safer behavior as a pedestrian.     

Determinants of task performance and invested effort: a need for closure by relative cognitive capacity interaction analysis

This study examines the simultaneous effects of need for closure (NFC) and relative cognitive capacity on invested effort and task performance within the integrative analysis framework using behavioral data. Two main results were obtained. First, the authors revealed a significant interaction effect between relative cognitive capacity (manipulated through task difficulty) and NFC (manipulated through time pressure, noise, and fear of invalidity as well as assessed by an individual differences measure) on effort investment. Second, contrary to dispositional NFC, manipulations yielded a "dual effect" because they negatively affected task performance as well as invested effort. The latter result was interpreted as an indication that noise and time pressure manipulations also tax cognitive resources. The two main findings are discussed and the authors go further into the divergences between dispositional and manipulated NFC.     

Dual-task effects of simulated lane navigation and story recall in older adults with and without memory impairment

ABSTRACT

While driving is a complex task, it becomes relatively automatic over time although unfamiliar situations require increased cognitive effort. Much research has examined driving risk in cognitively impaired elders and found little effect. This study assessed whether mildly memory impaired elders made disproportionate errors in driving or story recall, under simultaneous simulated driving and story recall. Forty-six healthy (61% women; mean age = 76.4) and 15 memory impaired (66% women, mean age = 79.4) elders participated. Cognitive status was determined by neuropsychological performance. Results showed that during dual-task conditions, participants stayed in lane more, and recalled stories more poorly, than when they did the tasks separately. Follow-up analysis revealed that verbatim recall, in particular, was reduced while driving for healthy participants. While memory impaired participants performed more poorly than healthy controls on both tasks, cognitive status was not associated with greater dual-task costs when driving and story recall were combined.     

The influence of performance feedback on goal-setting and mental effort regulation

Goal-setting and mental effort investment may be influenced by the perception of success or failure. The aim of the current study was to investigate the dynamics of motivational intensity model using false performance feedback. Forty participants performed a demanding cognitive task over five successive (5 min) blocks. Participants received performance feedback of either progressive success or progressive failure. A number of psychophysiological variables were used to index mental effort investment and emotion, including: HRV components, blood pressure, skin conductance level, EEG, and facial EMG. Subjective estimates of mood, workload and motivation were also collected alongside performance measures. The success group experienced positive affect and a less pronounced decline in subjective motivation in response to a perception of successful achievement. In contrast, feedback of failure led to adverse changes in mood/motivation, but did not lead to the absolute withdrawal of effort, although trends in the psychophysiological data suggest that participants in the failure group were on the verge of abandoning the task. The implications of these findings are discussed within the context of goal-setting and effort regulation models.     

Distraction while driving: The case of older drivers

As the impairment of older drivers is especially found in perception and attention, one could assume that they are especially prone to distraction effects of secondary tasks performed while driving. The aim of the study was to examine the effect of age on driving performance as well as the compensation strategies of older drivers under distraction. 10 middle-aged and 10 older drivers drove in a simulator with and without a secondary task. To assess driving performance the Lane Change Task (Mattes, 2003) was used. This method aims at estimating driver demand while a secondary task is being performed, by measuring performance degradation on a primary driving-like task in a standardized manner. The secondary task – a self-developed computer-based version of “d2 Test of Attention” was presented both with and without time pressure. The results show that older participants’ overall driving performance (mean deviation from an ideal path) was worse in all conditions as compared to the younger ones. With regard to lane change reaction time both age groups were influenced by distraction in a comparable manner. However, when the lane keeping performance (standard deviation of the lateral position) was examined, the older participants were more affected than the younger ones. This pattern could be explained by compensation strategies of the older drivers. They focused on the most relevant part of the driving task, the lane change manoeuvres and were able to maintain their performance level in a similar way as did younger drivers. The driving performance of the older participants was not additionally impaired when the secondary task imposed time pressure. Overall, subjective rating of driving performance, perceived workload and perceived distraction was found to be similar for both age groups. The observed trends and patterns associated with distraction while driving should contribute to the further research or practical work regarding in-vehicle technologies and older drivers.     

Effects of a front-seat passenger on driver attention: An electrophysiological approach

The human attention system is limited in capacity, and when performing two concurrent tasks there is competition for cognitive resources. This is particularly important in dangerous scenarios, such as driving on sharp curves where deficits in performance can be caused by various sources of distraction, including the presence of a passenger in the vehicle. In the present study, a dual-task paradigm was employed to examine the nature of attentional limits while operating a driving simulator in the presence of a passenger. The primary driving task had two levels of difficulty and event-related potentials (ERP) were collected from a secondary auditory task. In addition to several driving performance measures, our main ERP of interest was the P300. In dual-task studies, increases in primary task difficulty have been shown to reduce the amplitude of the P300 elicited by a secondary task. This presumably occurs because attentional resources initially dedicated to the secondary task are consumed by the primary task. The present results showed that compared to driving solo, the presence of a passenger was associated with a decrease in P300 amplitude in the more difficult driving conditions. These results suggest that in-car passengers may consume valuable resources in difficult driving situations that require more attentional focus in the first place.     

Agency attributions of mental effort during self-regulated learning

Previous results suggest that the monitoring of one’s own performance during self-regulated learning is mediated by self-agency attributions and that these attributions can be influenced by poststudy effort-framing instructions. These results pose a challenge to the study of issues of self-agency in metacognition when the objects of self-regulation are mental operations rather than motor actions that have observable outcomes. When participants studied items in Experiment 1 under time pressure, they invested greater study effort in the easier items in the list. However, the effects of effort framing were the same as when learners typically invest more study effort in the more difficult items: Judgments of learning (JOLs) decreased with effort when instructions biased the attribution of effort to nonagentic sources but increased when they biased attribution to agentic sources. However, the effects of effort framing were constrained by parameters of the study task: Interitem differences in difficulty constrained the attribution of effort to agentic regulation (Experiment 2) whereas interitem differences in the incentive for recall constrained the attribution of effort to nonagentic sources (Experiment 3). The results suggest that the regulation and attribution of effort during self-regulated learning occur within a module that is dissociated from the learner’s superordinate agenda but is sensitive to parameters of the task. A model specifies the stage at which effort framing affects the effort–JOL relationship by biasing the attribution of effort to agentic or nonagentic sources. The potentialities that exist in metacognition for the investigation of issues of self-agency are discussed.     

Relation of useful field of view and other screening tests to on-road driving performance

The purpose of this study was to examine the value of a clinical driving assessment battery in predicting performance on an on-road driving test. 43 participants referred to the Bryn Mawr Rehab Adapted Driving Program for evaluation of driving ability underwent an evaluation consisting of a predriver screening and an on road driving test. The predriver screening included a vision screening, a reaction rime task, a split-attention task, the Hooper Visual Organization Test, verbal and symbolic sign recognition, and assessment of Useful Field of View. Logistic regression analyses were applied to identify which predriver screening variables could be used to predict outcome on the on road driving test (pass/fail); UFOV was that best single predictor. The addition of screening tests beyond UFOV alone did not increase predictive validity. These findings suggest that UFOV may serve as an indicator of the need for further driving assessment.     

Estimation of trade‐off between costs of preprocessing and primary processing

When people engage in a task, they often take preliminary actions (preprocessing) to simplify primary processing. Usually, a trade‐off is made between the costs of preprocessing and primary processing. We conducted three experiments to find out whether people could adaptively estimate the utility of preprocessing depending on the task situation. The result demonstrated that in performing a high‐complexity task, almost all the participants reduced their overall task performance cost by conducting cost‐adaptive preprocessing. However, for a low‐complexity task, participants tended to conduct preprocessing even though this increased overall task performance cost. Based on these results, we discuss human nature from the viewpoint of the influence of cognitive effort.     

The effects of speech production and speech comprehension on simulated driving performance

We performed two experiments comparing the effects of speech production and speech comprehension on simulated driving performance. In both experiments, participants completed a speech task and a simulated driving task under single‐ and dual‐task conditions, with language materials matched for linguistic complexity. In Experiment 1, concurrent production and comprehension resulted in more variable velocity compared to driving alone. Experiment 2 replicated these effects in a more difficult simulated driving environment, with participants showing larger and more variable headway times when speaking or listening while driving than when just driving. In both experiments, concurrent production yielded better control of lane position relative to single‐task performance; concurrent comprehension had little impact on control of lane position. On all other measures, production and comprehension had very similar effects on driving. The results show, in line with previous work, that there are detrimental consequences for driving of concurrent language use. Our findings imply that these detrimental consequences may be roughly the same whether drivers are producing speech or comprehending it. Copyright © 2005 John Wiley & Sons, Ltd.     

The effect of a simulated hearing loss on performance of an auditory memory task in driving

Hearing loss has been shown to exacerbate the effect of auditory distraction on driving performance in older drivers. This study controlled for the potentially confounding factor of age-related cognitive decrements, by applying a simulated hearing loss in young, normally hearing individuals. Participants drove a simulated road whilst completing auditory tasks under simulated hearing loss or normal hearing conditions. Measures of vehicle control, eye movements and auditory task performance were recorded. Results showed that performing the auditory tasks whilst driving resulted in more stable lateral vehicle control and a reduction in gaze dispersion around the road centre. These trends were not exacerbated by simulated hearing loss, suggesting no effect of hearing loss on vehicle control or eye movement patterns during auditory task engagement. However, a small effect of simulated hearing loss on the performance of the most complex auditory task was observed during driving, suggesting that the use of sound-based in-vehicle systems may be problematic for hearing impaired individuals. Further research incorporating a wider variety of driving scenarios and auditory tasks is required in order to confirm the findings of this study.     

Secondary task engagement and disengagement in the context of highly automated driving

During highly automated driving (level 3 automation according to SAE International, 2014) people are likely to increase the frequency of secondary task interactions. However, the driver must still be able to take over control within a reasonable amount of time. Previous studies mainly investigated take-over behavior by forcing participants to engage in secondary tasks prior to take over, and barely addressed how drivers voluntarily schedule secondary task processing according to the availability and predictability of automated driving modes. In the current simulator study 20 participants completed a test drive with alternating sections of manual and highly automated driving. One group had a preview on the availability of the automated driving system in upcoming sections of the track (predictive HMI), while the other drivers served as a control group. A texting task was offered during both driving modes and also prior to take-over situations. Participants were free to accept or reject a given task, taking the situational demands into account. Drivers accepted more tasks during highly automated driving. Furthermore, tasks were rejected more often prior to take-over situations in the predictive HMI group. This was accompanied by safer take-over performance. However, once engaged in a task, drivers tended to continue texting even in take-over situations. The results indicate the need to discriminate different aspects of task handling regarding self-regulation: task engagement and disengagement.     

Impacts of a Congestion Assistant on driving behaviour and acceptance using a driving simulator

In-vehicle systems that assist the driver with his driving task are developed and introduced to the market at increasing rate. Drivers may be supported during congested traffic conditions by a so-called Congestion Assistant consisting of a mix of informing, assisting and controlling functions. This paper describes the impacts of the Congestion Assistant on the driver in terms of driving behaviour and acceptance. Thirty-seven participants took part in a driving simulator study. The observed driving behaviour showed promising improvements in traffic safety when approaching the traffic jam. Moreover, positive effects of the system on traffic efficiency can be expected in the jam. The participants stated to appreciate the Congestion Assistant, although not all functions were equally rated. To increase the performance and acceptance of the total system, some refinements were suggested.     

Spatial habit competes with effort to determine human spatial organization

Despite the important role that the physical environment plays in shaping human cognition, few studies have endeavoured to experimentally examine the principles underlying how individuals organize objects in their space. The current investigation examines the idea that humans organize objects in their space in order to minimize effort or maximize performance. We devised a novel spatial organization task whereby participants freely arranged objects in the context of a writing task. Critically, we manipulated the frequency with which each object was used and assessed participants’ spontaneous placements. In the first set of experiments, participants showed a counterintuitive tendency to match pen pairs with their initial placements rather than placing pens in the less effortful configuration. However, in Experiment 2, where the difference in physical effort between different locations was increased, participants were more likely to reorganize the pens into the less effortful configuration. We begin developing a theory of human spatial organization wherein the observed initial bias may represent a kind of spatial habit formation that competes with effort/performance considerations to shape future spatial organization.