Attention biases the process of risky decision-making: Evidence from eye-tracking.

Attention determines what kind of option information is processed during risky choices owing to the limitation of visual attention. This paper reviews research on the relationship between higher-complexity risky decision-making and attention as illustrated by eye-tracking to explain the process of risky decision-making by the effect of attention. We demonstrate this process from three stages: the pre-phase guidance of options on attention, the process of attention being biased, and the impact of attention on final risk preference. We conclude that exogenous information can capture attention directly to salient options, thereby altering evidence accumulation. In particular, for multi-attribute risky decision-making, attentional advantages increase the weight of specific attributes, thus biasing risk preference in different directions. We highlight the significance of understanding how people use available information to weigh risks from an information-processing perspective via process data.

Sex difference in driving speed management: The mediation effect of impulse control.

Previous studies have shown that male drivers drive faster than female drivers, but there is no agreement on whether impulsivity could induce this sex difference, nor is there a cross-sectional comparison of the effects of different road environments. The purpose of this study was to verify whether impulsivity and impulse control could explain the sex differences in driving speed. A driving simulator study (study 1, N = 41) was performed to investigate whether there were sex differences in driving speeds in two road sections of different complexity, and a questionnaire survey (study 2, N = 163) was conducted to investigate the relationship between sex, impulsivity, impulse control and driving behavior of the participants. The results showed that male drivers drove faster on simple roads, but this difference did not show on complex roads. There were no sex differences in impulsivity traits, but male participants had significant lower levels of impulse control. The results also reveal a partial mediating role of impulse control in the relationship between sex and driving speed. These results suggest that impulse control can predict dangerous driving behaviors and is an important factor in explaining sex differences in driving speed.

Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode.

As automated vehicles become more common, there is a need for precise measurement and definition of when and in what ways a driver can use a mobile phone in L2 autonomous driving mode, for how long it can be used, the complexity of the call content, and the accumulated mental workload. This study uses a 2 (driving mode) × 2 (call content complexity) × 6 (driving stage) three-factor mixed experimental design to investigate the effect of these factors on the driver's mental workload by measuring the driver's performance on Detection response tasks, pupil diameter, and EEG components in various brain regions in the alpha band. The results showed that drivers' mental workload levels converge between manual and automatic driving modes as the duration of driving increases, regardless of the level of complexity of the mobile phone conversation. This suggests that mobile phone conversations can also disrupt the driver's cognitive resource balance in L2 automatic driving mode, as it increases mental workload while also impairing the normal functioning of brain functions such as cognitive control, problem solving, and judgment, thereby compromising driving safety.

An analysis of the adolescents' hazard perception when crossing road from the perspective of personality characteristics based on an eye-tracking study.

Using the Road Situation Video Test Paradigm and Eye-Tracking Analysis Method, according to the two-stage processing model of hazard perception (HP), this study divides HP into two stages: perception and behaviour response, and compares the different roles of sensation seeking level in two different processing stages of perception and behaviour response when adolescents are crossing the road. The results show that: (1) In the perception stage, adolescents with high sensation seeking, especially boys with high sensation seeking perceive danger faster than boys with low sensation seeking and girls, they are more aware of danger. Particularly, boys with high sensation seeking show a stronger advantage of attention processing to hazard in the early stage of perception processing from 8th and 9th grades. (2) In the behaviour response stage, adolescents with high sensation seeking, especially the boys are less sensitive, have stricter judgment criteria, and are more likely to make dangerous decisions when crossing the road. Girls with different sensation seeking levels are more sensitive and more cautious when crossing the road, make the probability of judging dangerous situation is higher, so they choose a more conservative way, and may be less likely to across the road.

The effect of the degree and location of danger in traffic hazard perception: an ERP study.

OBJECTIVES: The aim of this study is to explore the influence of the degree and location of the danger of traffic hazards on the neural reaction process. METHODS: 26 automobile drivers were asked to look at the pictures and press buttons on the pictures unrelated to traffic. Electroencephalography responses to traffic-related images were recorded and analyzed. RESULTS: It was found that danger in the central visual region induced a larger amplitude of the N100 component than in the peripheral visual region and the trend of different hazard levels was consistent. The danger in the central visual area also induced a larger amplitude of the P200 component than in the peripheral vision area. In addition, when the danger appeared in the central visual area (0°), the P200 amplitude induced by the low-hazard situation was smaller than that of the high-hazard situation. When the danger appeared in the peripheral visual area (7°), the P200 amplitude induced by the low-hazard situation was larger than that of the high-hazard situation. Finally, the presence of danger evoked a larger amplitude of the P300 component in the peripheral visual area than in the central visual area and the P300 amplitude was larger in the low-hazard situation than in the high-hazard situation. CONCLUSIONS: The results suggest that hazards are more easily processed in the central visual area during the early stage of automatic perception. In the later hazard evaluation stage, the hazard in the central visual area and the high-hazard situation were more easily processed.

Influences of Emotion on Driving Decisions at Different Risk Levels: An Eye Movement Study.

To explore the influences of traffic-related negative emotions on driving decisions, we induced drivers' three emotions (neutral emotion, traffic-related negative emotion, and traffic-unrelated negative emotion) by videos, then the drivers were shown traffic pictures at different risk levels and made decisions about whether to slow down, while their eye movements were recorded. We found that traffic-related negative emotion influenced driving decisions. Compared with neutral emotion, traffic-related negative emotion led to an increase in the number of decelerations, and the higher the risk, the more the number of decelerations. The visual processing time of the risk area was shorter in the traffic-related negative emotional state than that in the neutral emotional state. The less time drivers spend looking at the risk area, the faster they make their driving decisions. The results suggest that traffic-related negative emotions lead drivers to make more conservative decisions. This study supports the rationality of using traffic accident materials to conduct safety education for drivers. This article also discussed the significance of traffic-related negative emotions to social security.

Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions.

With the continuous improvement of automated vehicles, researchers have found that automated driving is more likely to cause passive fatigue. To explore the impact of automation and scenario complexity on the passive fatigue of a driver, we collected electroencephalography (EEG), detection-response task (DRT) performance, and the subjective report scores of 48 drivers. We found that in automated driving under monotonic conditions, after 40 min, the alpha power of the driver's EEG indicators increased significantly, the accuracy of the detection reaction task decreased, and the reaction time became slower. The receiver characteristic curve was used to calculate the critical threshold of the alpha power during passive fatigue. The determination of the threshold further clarifies the occurrence time and physiological characteristics of passive fatigue and improves the passive fatigue theory.

Inhibition of Return Decreases Early Audiovisual Integration: An Event-Related Potential Study.

Previous behavioral studies have found that inhibition of return decreases the audiovisual integration, while the underlying neural mechanisms are unknown. The current work utilized the high temporal resolution of event-related potentials (ERPs) to investigate how audiovisual integration would be modulated by inhibition of return. We employed the cue-target paradigm and manipulated the target type and cue validity. Participants were required to perform the task of detection of visual (V), auditory (A), or audiovisual (AV) targets shown in the identical (valid cue) or opposed (invalid cue) side to be the preceding exogenous cue. The neural activities between AV targets and the sum of the A and V targets were compared, and their differences were calculated to present the audiovisual integration effect in different cue validity conditions (valid, invalid). The ERPs results showed that a significant super-additive audiovisual integration effect was observed on the P70 (60∼90 ms, frontal-central) only under the invalid cue condition. The significant audiovisual integration effects were observed on the N1 or P2 components (N1, 120∼180 ms, frontal-central-parietal; P2, 200∼260 ms, frontal-central-parietal) in both valid cue as well as invalid cue condition. And there were no significant differences on the later components between invalid cue and valid cue. The result offers the first neural demonstration that inhibition of return modulates the early audiovisual integration process.

Effects of automation trust in drivers' visual distraction during automation.

With ongoing improvements in vehicle automation, research on automation trust has attracted considerable attention. In order to explore effects of automation trust on drivers' visual distraction, we designed a three-factor 2 (trust type: high trust group, low trust group) × 2 (video entertainment: variety-show videos, news videos) × 3 (measurement stage: 1-3) experiment. 48 drivers were recruited in Dalian, China for the experiment. With a driving simulator, we used detection-response tasks (DRT) to measure each driver's performance. Their eye movements were recorded, and automation-trust scale was used to divide participants into high trust group and low trust group. The results show that: (1) drivers in the high trust group has lower mental workload and paid more attention to visual non-driving-related tasks; (2) video entertainment also has an impact on distraction behavior, variety-show videos catch more attention than news videos. The findings of the present study indicate that drivers with high automation trust are more likely to be involved in non-driving-related visual tasks.

Which can explain the pip-and-pop effect during a visual search: Multisensory integration or the oddball effect?

In a dynamic search task, participants were instructed to search for a visual target among various distractors. An auditory stimulus presented in synchrony with a color change of the visual target can improve the efficiency of the search, which is known as the pip-and-pop effect. Some researchers have suggested that the underlying mechanism of this effect is multisensory integration, while others have thought it is due to an oddball stimulation that attracts attention. Utilizing the eye movement technique, we conducted 3 experiments to investigate the pip-and-pop effect and its causes. In Experiment 1, we used a static search paradigm and controlled for the presence or absence of sound cues when the visual target was presented. It turned out that sound had no effect on a static search; that is, no pip-and-pop effect was found. In Experiment 2, we used a dynamic search paradigm in which the participants were instructed to search for vertical or horizontal line segments among various directional distractor segments and as the color of individual segments changed randomly during the stimulus presentation, with and without the sound cue. We found that the pip-and-pop effect was present. The irrelevant sound reduced the mean fixation number and expanded the mean saccade amplitude. In Experiment 3, we also used a dynamic search paradigm and controlled the frequency of synchronization between the sound and the target color change. There were 3 types of sound conditions: No-sound, 1-sound, and 2-sound. The results suggest that as the frequency of synchronization between the sound and the target color change increases (2-sound condition), the pip-and-pop effect also increases. Therefore, we propose that the pip-and-pop effect is more likely to result from the attention attracted by oddball stimuli than from the multisensory integration of synchronized auditory-visual stimuli. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Eye Movements of Spatial Working Memory Encoding in Children with and without Autism: Chunking Processing and Reference Preference.

Individuals with autism spectrum disorder (ASD) experience spatial working memory deficits and show different encoding mechanisms from typical developing (TD) peers. To effectively describe the encoding strategies of those with ASD and highlight their characteristics in cognitive processing, we adopted improved change detection tasks and added eye-movement indicators to investigate the chunking function and reference preference of children with and without ASD. The current study included 20 participants with ASD aged 8-16 and 20 TD children matched for age, gender, and intelligence. Experiment 1 used high/low-structured change detection tasks, and eye-movement indexes were recorded as they memorized the locations of the items to investigate spatial chunking strategies. In Experiment 2, changes in eye movement patterns were observed by adding a frame of reference. The results suggested different encoding strategies in ASD and TD individuals. The ASD group showed local processing bias and had difficulty adopting chunking strategies in spatial working memory. Eye-movement analysis suggested that they rarely showed integrated information processing tendency observed in TD children. Moreover, as a compensatory processing, they were more likely to use the frame of reference. In this study, we compared the spatial chunking strategies and reference preference of children with and without ASD, and eye-movement analysis was used to investigate the processing mechanism. These findings are significant for research on cognitive characteristics of ASD and provide a new focus for working memory training in children with ASD. LAY SUMMARY: The current study suggests that children with autism spectrum disorder are poorer at organizing items into chunks in spatial working memory, but rely more on reference frames. If the purpose of location memory is to strengthen the adaptability of children with autism, it should provide them with more clues or references. If it is for the purpose of intervention such as cognitive training, it should guide them to integrate information to improve the basic cognitive processing efficiency. Autism Res 2021, 14: 897-910. © 2020 International Society for Autism Research and Wiley Periodicals LLC.

Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness.

The countermeasure of driver fatigue is valuable for reducing the risk of accidents caused by vigilance failure during prolonged driving. Listening to the radio (RADIO) has been proven to be a relatively effective "in-car" countermeasure. However, the connectivity analysis, which can be used to investigate its alerting effect, is subject to the issue of signal mixing. In this study, we propose a novel framework based on clustering and entropy to improve the performance of the connectivity analysis to reveal the effect of RADIO to maintain driver alertness. Regardless of reducing signal mixing, we introduce clustering algorithm to classify the functional connections with their nodes into different categories to mine the effective information of the alerting effect. Differential entropy (DE) is employed to measure the information content in different brain regions after clustering. Compared with the Louvain-based community detection method, the proposed method shows more superior ability to present RADIO effectin confused functional connection matrices. Our experimental results reveal that the active connection clusters distinguished by the proposed method gradually move from frontal region to parieto-occipital regionwith the progress of fatigue, consistent with the alpha energy changes in these two brain areas. The active class of the clusters in parieto-occipital region significantly decreases and the most active clusters remain in the frontal region when RADIO is taken. The estimation results of DE confirm the significant change (p < 0.05) of information content due to the cluster movements. Hence, preventing the movement of the active clusters from frontal region to parieto-occipital region may correlate with maintaining driver alertness. The revelation of alerting effect is helpful for the targeted upgrade of fatigue countermeasures.

The effect of situational hazard level on pedestrian hazard perception: Evidence from event-related potentials.

The effect of situational hazardous level on pedestrian hazard perception was investigated using event-related potential (ERP) technique. Images of three types of real traffic situations were used as test materials, including non-hazard situations, low-hazard situations and high-hazard situations. The existence of hazard in situations shown in the images was determined by 29 students (including 16 female) via button pushing. The results showed that the N1 amplitude was higher in high-hazard situations than in non-hazard or low-hazard situations; and the P3 amplitude was higher in low-hazard situations than in non-hazard or high-hazard situations. These results indicated that the high-hazard situations have a processing advantage in early processing stages, while low-hazard situations have a processing advantage in late processing stages.

The Relationship Between Drivers' Cognitive Fatigue and Speed Variability During Monotonous Daytime Driving.

A lack of task workload can lead to drivers' cognitive fatigue and vigilance decrement during a prolonged drive. This study examined the effects of speed variability on driving fatigue in a monotonous drive. Twenty-one participants participated in a 60-min simulated driving task. All participants' cognitive fatigue was assessed using psychological and physiological measurements. Results showed that among all participants, variability of vehicle speed was negatively correlated with sleepiness and hypo-vigilance during the driving task. Further, drivers in the large variability group reported less sleepiness, less fatigue, and more vigilance than those in the small variability group did during the driving task. These drivers also presented a smaller electroencephalogram spectral index (𝜃+α)/ß during the task, where 𝜃, α, and ß are the power spectra of three different frequency bands: theta (𝜃, 4∼8 Hz), alpha (α, 8∼13 Hz), and beta (ß, 13∼30 Hz). Our findings suggested that the larger variability of speed within the speed limit may have a deterrent effect on drivers' cognitive fatigue.