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The effects of tunnel radius, turn direction, and zone characteristics on drivers’ visual performance

This study aimed to explore the influence of the tunnel radius, turn direction, and zone characteristics on drivers’ visual performance. The study used a field experiment, in which 30 participants drove real vehicles in different curved tunnels, and measured their fixation duration (FD), fixation frequency (FF), saccade duration (SD), and saccade amplitude (SA) as indicators of visual performance. The results showed that the tunnel radius, turn direction, and zone characteristics had significant effects on all four indicators of visual performance. As the tunnel radius decreases, drivers exhibit longer FD and larger SA, while FF and SD decrease correspondingly. Additionally, the directional aspect of turning significantly influences these eye movement parameters, with drivers demonstrating longer FD, lower FF, shorter SD, and smaller SA during left turns compared to right turns. Irrespective of turning direction, drivers allocate the longest average FD and highest FF in the entrance zone, followed by the middle zone, and the shortest duration in the exit zone under the same tunnel radius condition. Similarly, the mean SD and amplitude are highest in the exit zone, followed by the middle zone, and lowest in the entrance zone, regardless of the turning condition. These findings suggest that drivers adjust their visual behavior according to the dynamic and complex visual stimuli and the varying driving task demands in different scenarios of curved tunnel driving. These findings also imply that drivers face different perceptual and cognitive challenges and preferences when driving in curved tunnels with different radii, turn directions, and zone characteristics, which affect their visual adaptation and preparation processes, as well as their visual integration and differentiation processes. This study has some implications and suggestions for the design and management of curved tunnels, as well as for the education and training of drivers. This study also provides new theoretical and empirical evidence for the visual behavior and cognition of drivers in curved tunnels, and provides practical suggestions for enhancing their visual performance and improving their driving safety and efficiency in curved tunnels.

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The Role of Visuomotor Behaviours in Understanding the Functionality of Upper Limb Prostheses

Advanced upper limb prostheses aim to restore coordinated hand and arm function. However, this objective can be difficult to quantify as coordinated movements require an intact visuomotor system. Eye tracking has recently been applied to study the visuomotor behaviours of upper limb prosthesis users by enabling the calculation of eye movement metrics. This scoping review aims to characterize the visuomotor behaviours of upper limb prosthesis users as described by eye tracking metrics, to summarize the eye tracking metrics used to describe prosthetic behaviour, and to identify gaps in the literature and potential areas for future research. A review of the literature was performed to identify articles that reported eye tracking metrics to evaluate the visual behaviours of individuals using an upper limb prosthesis. Data on the level of amputation, type of prosthetic device, type of eye tracker, primary eye metrics, secondary outcome metrics, experimental task, aims, and key findings were extracted. Seventeen studies were included in this scoping review. A consistently reported finding is that prosthesis users have a characteristic visuomotor behaviour that differs from that of individuals with intact arm function. Visual attention has been reported to be directed more towards the hand and less towards the target during object manipulation tasks. A gaze switching strategy and delay to disengage gaze from the current target has also been reported. Differences in the type of prosthetic device and experimental task have revealed some distinct gaze behaviours. Control factors have been shown to be related to gaze behaviour, while sensory feedback and training interventions have been demonstrated to reduce the visual attention associated with prosthesis use. Eye tracking metrics have also been used to assess the cognitive load and sense of agency of prosthesis users. Overall, there is evidence that eye tracking is an effective tool to quantitatively assess the visuomotor behaviour of prosthesis users and the recorded eye metrics are sensitive to change in response to various factors. Additional studies are needed to validate the eye metrics used to assess cognitive load and sense of agency in upper limb prosthesis users.

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Training benefits driver behaviour while using automation with an attention monitoring system

Attention, or more generally, driver monitoring systems have been identified as a necessity to address overreliance on driving automation. However, research suggests that monitoring systems may not be sufficient to support safe use of advanced driver assistance systems (ADAS), also evidenced by a recent major recall of Tesla’s monitoring software. The objective of the current study was to investigate whether different training approaches improve driver behaviour while using ADAS with an attention monitoring system. A driving simulator study was conducted with three between-subject groups: no training, limitation-focused training (highlighted situations where ADAS would not work), and responsibility-focused training (highlighted the driver’s role/responsibility while using ADAS). All participants (N = 47) experienced eight events which required the ego-vehicle to slow down to avoid a collision. Anticipatory cues in the environment indicated the potential for the upcoming events. Event type (covered in training vs. not covered) and event criticality (action-necessary vs. action-not-necessary) were within-subject factors. The responsibility-focused group made fewer long glances (≥ 3 s) to a secondary task than the no training and limitation-focused groups when there were no anticipatory cues. Responsibility-focused training and no training were associated with faster takeover time at the events than limitation-focused training. There were additional benefits of responsibility-focused training for events that were covered in training (e.g., higher percent of time looking at the anticipatory cues). Overall, our results suggest that even if attention monitoring systems are implemented, there may be benefits to driver ADAS training. Responsibility-focused training may be preferable to limitation-focused training, especially for situations where minimizing training length is advantageous.

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Usability Assessments in User Studies on Human-Machine Interfaces for Conditionally Automated Driving: Effects of the Context of Use

The introduction of conditionally automated driving (CAD) entails a paradigm change in automotive mobility. For the first time, the driver is temporarily released from the responsibility of the driving task. This paradigm change challenges the development of human-machine interfaces (HMIs) facilitating the intended and safe interaction. User studies on the usability of such HMIs are commonly conducted in driving simulators and within one single culture. Identifying the potential effects of this context of use is crucial for the validity of research conducted in the HMI development. Following a review of the relevant literature, five research questions are derived that are addressed in this thesis. A systematic literature review offers insights into common research practices of studies on the usability of HMIs for CAD. Following, a best practice advice is developed. The advice builds the basis for the experimental design for two of the three validation studies conducted in this thesis (Exp_Testing-Environment & Exp_Culture). The first validation study, Exp_Testing-Environment, investigates the effect of the testing environment on usability assessments. An experiment conducted in a static driving simulator is compared to an otherwise identical experiment conducted in an instrumented vehicle on a test track. The findings suggest relative validity but no absolute validity. The study concludes that problems with HMI concepts identified in the driving simulator will likely be more pronounced in test track experiments. Based on the findings, driving simulators are deemed a valid tool. The second validation study, Exp_Culture, investigates the effect of the users’ cultural background on the usability assessment by comparing the usability ratings of U.S.-American participants to German participants. Regarding absolute validity, the database needs to be more conclusive. The findings, however, confirm relative validity. The study concludes that the results of usability assessments may be transferred across cultures of the Western industrialized world. Limitations are expected only regarding the usability facet satisfaction. The third validation study, Survey_Culture, addresses the effect of the users’ cultural background on the subjective importance ratings of usability factors. The comparison of U.S.- American and German ratings shows neither considerable nor systematic cultural effects. In line with Exp_Culture, this study concludes that usability assessments may be conducted within one culture of the Western industrialized world. The findings of the three validation studies are consolidated in a set of preliminary recommendations. The set is discussed and refined in an expert workshop. The final 12 recommendations suggest methods for conducting user studies on the usability of HMIs in the context of CAD. This thesis provides novel empirical findings on experimental methods in user studies on usability assessments, focusing on the validity of usability assessments in varying contexts of use. Based on prevalent literature and an expert workshop, the results are consolidated and refined. Concluding, the thesis contributes to the advancement of valid research methods for conducting usability assessments of HMIs for CAD.

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User-Centered Development of Interaction Concepts for a Comfortable and Safe Use of Travel Time in the Context of Fragmented Automated Drives

Automated driving will fundamentally change the way car travel time is utilized. The possibility to engage in a variety of non-driving related activities (NDRAs) is perceived as a major user benefit. However, technical and regulatory restrictions will limit the availability of automated driving functions for the next decades. This will result in fragmented trips consisting of manual, assisted, and automated driving segments. The present thesis seeks to support users of such vehicles in using their drive time as comfortably and safely as possible. Different interaction concepts were developed to support users prior to a drive and during automated and assisted driving. The development followed the user-centered design process. An introductory literature research reveals that users want to be involved in route planning when contrasted with fragmented drives. User requirements for a trip planning tool were derived in a workshop. Based on user needs like travel profiles, prioritization of NDRAs, and an easy-to-interpret visualization of route alternatives, a first prototype was designed, iteratively evaluated, and improved. Finally, a functional smartphone app was developed and evaluated in a usability study. Besides good usability and a high level of intention to use the app, users were able to plan a drive in a short amount of time. Furthermore, the user requirements were highly fulfilled. In addition to the pre-drive phase, the automated driving phase was investigated. During automated driving, NDRAs will be performed on different devices and objects. To prepare users for interruptions caused by transitions to manual or assisted driving, peripherally visible concepts were developed to communicate the remaining time in automated driving in a device-independent and non-interruptive manner. Therefore, a light-emitting diode (LED) stripe was mounted at the bottom of the windshield. In a set of two driving simulator studies, the developed concepts were evaluated positively. However, remaining time estimates will be subject to uncertainty, e.g., due to changing traffic or weather conditions, updated infrastructure information, or unforeseen route changes. Thus, a concept to communicate time budget uncertainties was developed in a small-scale user study. However, the concept using the well-known mobile phone connection icon to convey time budget prediction confidence was rated too complicated in another driving simulator study. Finally, the assisted driving phase was investigated. Users are known to quickly disengage from the monitoring task and rather engage in NDRAs, especially when using a reliable assisted driving function. Thus, a concept to counteract this effect by displaying short motivating pop-up messages was designed in cooperation with usability experts. In a driving simulator study, it was shown to have positive effects on monitoring behavior but did not improve drivers’ reactions to a silent system malfunction. In summary, concepts that can support users in their use of drive time were developed and found to increase comfort and safety in the context of fragmented automated drives. For further implementation, the actual availability and prediction capability of automated driving systems need to be considered.

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Using eye tracking to support professional learning in vision-intensive professions: a case of aviation pilots

In an authentic flight simulator, the instructor is traditionally located behind the learner and is thus unable to observe the pilot’s visual attention (i.e. gaze behavior). The focus of this article is visual attention in relation to pilots’ professional learning in an Airbus A320 Full Flight Simulator. For this purpose, we measured and analyzed pilots’ visual scanning behavior during flight simulation-based training. Eye-tracking data were collected from the participants (N = 15 pilots in training) to objectively and non-intrusively study their visual attention behavior. First, we derived and compared the visual scanning patterns. The descriptive statistics revealed the pilots’ visual scanning paths and whether they followed the expected flight protocol. Second, we developed a procedure to automate the analysis. Specifically, a Hidden Markov model (HMM) was used to automatically capture the actual phases of pilots’ visual scanning. The advantage of this technique is that it is not bound to manual assessment based on graphs or descriptive data. In addition, different scanning patterns can be revealed in authentic learning situations where gaze behavior is not known in advance. Our results illustrate that HMM can provide a complementary approach to descriptive statistics. Implications for future research are discussed, including how artificial intelligence in education could benefit from the HMM approach.

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Visual recognition analysis of optically long tunnels: interaction of dynamic vision and visual perception

To understand the relation between the geometric design of optically long tunnels and visibility of the exit area, in this study oculomotor (eye movement) data are collected from several drivers in Yunnan Province, China, and drivers’ fixation rate and saccade amplitude in the visible zone of the tunnel are measured as key indicators. The driver’s visual recognition is analyzed and key elements in the optimal design of the exit points of optically long tunnels are discussed. The results show that visual recognition is closely associated with the radius of the road curvature: as the radius of curve decreases, the visual focus is gradually attracted to the inner side of the curve, the proportion of small-angle saccade increases, and the dispersion of the saccade amplitude decreases.

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VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective

The enhancement of construction safety performance heavily relies on effective safety training. While virtual reality (VR) technologies have been utilized to improve construction safety training programs, the extent and mechanisms of improvement brought by VR remain unexplored. This study provided explanations on how the effectiveness of VR-based safety training for a heterogeneous workforce was achieved by investigating two mechanisms, namely embodied cognition and emotion arousal, from the physiological perspective. Randomized controlled experiments were conducted with three forms of safety training, namely paper-based training, VR-based learning, and VR-based experiencing, for both novice learners (NPs) and learners with prior knowledge (PPs). Digital eye-tracking and physiological devices and measurements were used to collect objective data. The results revealed better hazard recognition performance in both VR-based learning and VR-based experiencing groups than that in paper-based training groups. The results also revealed that VR-based learning was more effective for NPs than for PPs in acquiring safety knowledge, but VR-based experiencing was more effective for PPs than for NPs in stimulation of emotions. This means that the NPs benefit more from embodied cognition provided by the immersive environment of VR-based learning, and the PPs would be trained better with emotional arousal from the thrill of VR-based experiencing. The discovered mechanisms of embodied cognition and emotion arousal shed light on the underlying processes that contribute to the positive outcomes and promotion of VR-based training.

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Word frequency and cognitive effort in turns-at-talk: turn structure affects processing load in natural conversation

Frequency distributions are known to widely affect psycholinguistic processes. The effects of word frequency in turns-at-talk, the nucleus of social action in conversation, have, by contrast, been largely neglected. This study probes into this gap by applying corpus-linguistic methods on the conversational component of the British National Corpus (BNC) and the Freiburg Multimodal Interaction Corpus (FreMIC). The latter includes continuous pupil size measures of participants of the recorded conversations, allowing for a systematic investigation of patterns in the contained speech and language on the one hand and their relation to concurrent processing costs they may incur in speakers and recipients on the other hand. We test a first hypothesis in this vein, analyzing whether word frequency distributions within turns-at-talk are correlated with interlocutors' processing effort during the production and reception of these turns. Turns are found to generally show a regular distribution pattern of word frequency, with highly frequent words in turn-initial positions, mid-range frequency words in turn-medial positions, and low-frequency words in turn-final positions. Speakers' pupil size is found to tend to increase during the course of a turn at talk, reaching a climax toward the turn end. Notably, the observed decrease in word frequency within turns is inversely correlated with the observed increase in pupil size in speakers, but not in recipients, with steeper decreases in word frequency going along with steeper increases in pupil size in speakers. We discuss the implications of these findings for theories of speech processing, turn structure, and information packaging. Crucially, we propose that the intensification of processing effort in speakers during a turn at talk is owed to an informational climax, which entails a progression from high-frequency, low-information words through intermediate levels to low-frequency, high-information words. At least in English conversation, interlocutors seem to make use of this pattern as one way to achieve efficiency in conversational interaction, creating a regularly recurring distribution of processing load across speaking turns, which aids smooth turn transitions, content prediction, and effective information transfer.

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A comprehensive study of human factors, sensory principles, and commercial solutions for future human-centered working operations in industry 5.0

The purpose of this study is to explore the measurement of human factors in the workplace that can provide critical insights into workers’ well-being. Human factors refer to physical, cognitive, and psychological states that can impact the efficiency, effectiveness, and mental health of workers. The article identifies six human factors that are particularly crucial in today’s workplaces: physical fatigue, attention, mental workload, stress, trust, and emotional state. Each of these factors alters the human physiological response in a unique way, affecting the human brain, cardiovascular, electrodermal, muscular, respiratory, and ocular reactions. This paper provides an overview of these human factors and their specific influence on psycho-physiological responses, along with suitable technologies to measure them in working environments and the currently available commercial solutions to do so. By understanding the importance of these human factors, employers can make informed decisions to create a better work environment that leads to improved worker well-being and productivity.

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The effects of tunnel radius, turn direction, and zone characteristics on drivers’ visual performance

The Role of Visuomotor Behaviours in Understanding the Functionality of Upper Limb Prostheses

Training benefits driver behaviour while using automation with an attention monitoring system

Usability Assessments in User Studies on Human-Machine Interfaces for Conditionally Automated Driving: Effects of the Context of Use

User-Centered Development of Interaction Concepts for a Comfortable and Safe Use of Travel Time in the Context of Fragmented Automated Drives

Using eye tracking to support professional learning in vision-intensive professions: a case of aviation pilots

Visual recognition analysis of optically long tunnels: interaction of dynamic vision and visual perception

VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective

Word frequency and cognitive effort in turns-at-talk: turn structure affects processing load in natural conversation

A comprehensive study of human factors, sensory principles, and commercial solutions for future human-centered working operations in industry 5.0

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