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Total results: 49

Functional resonance analysis in an overtaking situation in road traffic: comparing the performance variability mechanisms between human and automation

Year: 2021

Authors: N Grabbe, A Gales, M Höcher,K Bengler

Automated driving promises great possibilities in traffic safety advancement, frequently assuming that human error is the main cause of accidents, and promising a significant decrease in road accidents through automation. However, this assumption is too simplistic and does not consider potential side effects and adaptations in the socio-technical system that traffic represents. Thus, a differentiated analysis, including the understanding of road system mechanisms regarding accident development and accident avoidance, is required to avoid adverse automation surprises, which is currently lacking. This paper, therefore, argues in favour of Resilience Engineering using the functional resonance analysis method (FRAM) to reveal these mechanisms in an overtaking scenario on a rural road to compare the contributions between the human driver and potential automation, in order to derive system design recommendations. Finally, this serves to demonstrate how FRAM can be used for a systemic function allocation for the driving task between humans and automation. Thus, an in-depth FRAM model was developed for both agents based on document knowledge elicitation and observations and interviews in a driving simulator, which was validated by a focus group with peers. Further, the performance variabilities were identified by structured interviews with human drivers as well as automation experts and observations in the driving simulator. Then, the aggregation and propagation of variability were analysed focusing on the interaction and complexity in the system by a semi-quantitative approach combined with a Space-Time/Agency framework. Finally, design recommendations for managing performance variability were proposed in order to enhance system safety. The outcomes show that the current automation strategy should focus on adaptive automation based on a human-automation collaboration, rather than full automation. In conclusion, the FRAM analysis supports decision-makers in enhancing safety enriched by the identification of non-linear and complex risks.

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11 versions available

Principles and Guidance for Presenting Active Traffic Management Information to Drivers

Year: 2021

Authors: J Lee, CM Richard,JL Campbell, JL Brown

Active Traffic Management (ATM) strategies have become more common in the United States as State departments of transportation (DOTs) grapple with increasing congestion and fewer dollars available to add capacity to keep pace. ATM strategies provide a more cost-effective solution to better manage traffic using the available capacity of the existing roadway network. The expansion of ATM strategies and implementations has led to a concurrent increase in the options available to deliver ATM information to drivers. Information displays designed to capture drivers’ attention quickly include devices that vary in terms of whether they are: fixed and moveable, graphics-based and text-based, overhead and roadside, as well as handheld and vehicle-based. Because of the innovative nature of ATM strategies, there is limited guidance available and many research questions remain about how ATM information can be effectively and safely presented to drivers across the many existing and potential dissemination methods. The objective of this project is to develop principles and guidance for presenting drivers with dynamic information that can be frequently updated based on real-time conditions. These principles and guidance should improve the effectiveness of ATM strategies, which include systems to manage congestion, incidents, weather, special events, and work zones. The project is intended to explore and provide answers to the following six key research questions: 1. What information related to ATM strategies does a driver want and need? What characteristics are associated with this information (e.g., reliability, timeliness)? 2. How much information can a driver process via the complementary and contrasting modalities (e.g., visual, auditory), given the context and distractions? 3. What existing and potential media could be used to deliver this information? Media that are under the control of transportation agencies (e.g., electronic signs) are of primary interest but alternative and innovative media (e.g., in-vehicle displays, cell phone applications, geographic information systems) and their evolving capabilities and roles must be examined. 4. Given a particular message and medium, what are effective ways to prioritize, format, and present the information to achieve a desired and safe response by drivers? 5. How can an agency evaluate the return on investment of an ATM infrastructure or information technology decision? 6. How can an agency balance the needs of drivers and infrastructure costs, including maintenance and operations? This project involved two broad phases to achieve its goals. Phase 1 (Chapters 2-4) primarily involved documenting the ATM state of the practice and reviewing critical literature, with the goal of specifying the detailed requirements of the Phase 2 research and analysis activities. Phase 2 of the project (Chapters 5-6) involved original research and data analysis to inform the development of a series of deliverables including guidance and principles for agencies and third-party providers on the presentation of ATM information to drivers. This report is divided into six chapters: Chapter 1 – Introduction: This chapter provides a general overview of the project objectives Chapter 2 – State of the Practice: This chapter documents the state of the current practice of displaying ATM information both within the United States and internationally Chapter 3 – Literature Review: This chapter synthesizes the available literature about displaying ATM information in key topic areas and identifies research gaps within those topics Chapter 4 – Research Gaps: This chapter describes activities related to refining and prioritizing research gaps related displaying ATM information Chapter 5 – Empirical Studies: This chapter describes the methodology and findings for three studies that were conducted during this project to address the key research gaps Chapter 6 – Conclusions: This chapter integrates the available information about each research gap developed across all project activities To develop principles and guidance for presenting ATM information, different activities were conducted in both qualitative and quantitative ways. The key activities are described below. The objective of the State of Practice review was to identify and document ATM deployments in the United States, as well as available guidance from the Manual of Uniform Traffic Control Devices (MUTCD). The review collected descriptions and photos of permanent and temporary ATM systems in 27 states, including deployments of multipurpose overhead lane use control signs , dynamic lane control and dynamic lane reversal, dynamic shoulder lanes, dynamic speed limits, dynamic junction control, dynamic merge control, and dynamic queue warning. ATM applications in work zones were also documented, as well as the types of static signage placed in advance of ATM deployments. Additionally, international ATM deployments and existing in-vehicle ATM messaging approaches are also documented. The State of Practice review provided important context to the broader project by highlighting the variations in ATM deployments, and thus the need for additional research and guidance for presenting dynamic ATM information to drivers. Along with the State of Practice review, a literature review was conducted to synthesize recent and relevant findings. A literature search was conducted using both broad search and focused search processes. A total of 404 articles were searched, and 26 of those articles went through a structured, in-depth review. The literature review identified a number of data sources that provided general design guidance for ATM messages. However, practical answers to key research questions 1-4 were not provided by the existing literature. The output of the literature review was used to identify key research gaps and develop research questions for the Phase 2 activities. The findings from the literature review and State of Practice provided inputs to structured research gap analysis that was conducted to refine and prioritize the research needs that could be addressed in the project. The literature review and State of Practice generated 13 research gaps focusing on how the evolving alternative information channels could impact the role of DOT infrastructure and messaging practices. After identifying the 13 research gaps, three subject matter experts individually rated each research gap along five-point scales using three criteria: (a) relevance, (b) usefulness, and (c) expected cost. After all ratings were finalized, overall priority scores were calculated for each research gap. Following the initial evaluation of the 13 research gaps, the project team conducted further discussions and received input on the gaps from a State DOT stakeholder group and the NCHRP project panel. Two research gaps were excluded because they were not highly relevant or feasible. To address the remaining 11 research gaps, two driving simulator studies and a separate stakeholder engagement study were conducted. The first driving simulator study investigated the effects of the availability of the ATM information on driver behavior and distraction. The study focused on a dynamic lane signaling application and compared drivers’ behavior under two levels of information availability (“always-on” mode, which displayed the lane closure information always vs. “just-in-time” mode, which displayed the information only when a vehicle was near a corresponding overhead gantry) for smartphone ATM applications. Drivers were more likely to follow the lane closure information when they received the information from both the smartphone and overhead gantry at the same time, compared to when they received the information only from the overhead gantries. In addition, when the ATM information was available from both the smartphone and overhead gantry, there were no significant differences between the two levels of information availability on drivers’ compliance of lane closure information. However, the post-experiment survey showed that 70% of the participants preferred the “always-on” mode over the “just-in-time” mode. An analysis of driver glances showed that total glance time and average glance duration to the smartphone in the study were below the Alliance of Automobile Manufacturers (AAM)’s distraction criterion for human-machine interface interaction. The average glance duration to the smartphone was around 0.5 seconds. The results indicated that disseminating the ATM information via the smartphone along with the navigation information did not cause additional visual distraction. Given the sample size (n = 44) and limitations of the driving simulator study, differences observed in the study were too small to have practical significance. However, the study simulated situations in which ATM information can be disseminated from alternative ATM media and/or traditional ATM media, and it provided useful information about how to effectively use alternative media for ATM message dissemination in conjunction with infrastructure-based media. The output of the study was used to develop design guidelines and recommendations. The second driving simulator study investigated the effects of information modality (visual symbols vs. visual symbols and auditory messages) and information type (descriptive auditory messages vs. prescriptive auditory warning) of in-vehicle ATM displays on driver behavior and distraction. The research questions were examined in the context of a dynamic speed limit application. Drivers were more likely to drive 5 mph above the speed limit when they received the dynamic speed limit information from only the smartphone compared the other conditions. The results showed that when the smartphone was the sole source of ATM information, drivers were more likely to drive above the speed limit. Although there were no significant differences between modality conditions or information type conditions, the post-experiment survey showed that 60% of the participants preferred both a combined auditory-visual modality and descriptive information for the smartphone ATM application. Similar to the first driving simulator study, an analysis of driver glances showed that total glance time and average glance duration to the smartphone in the study were below the AAM’s distraction criterion for human-mahine interface interaction in all conditions. However, providing visual speed limit information on the smartphone increased glances towards the application relative to when speed limit information was only available on the gantry (i.e., when the smartphone only presented navigation information). This effect dimished when the the speed limit information on the smartphone was also presented as an auditory message in addition to the visual message. The results suggest that the addition of auditory messages enabled drivers to maintain the same focus on the driving task as they did when ATM information was only displayed on the infrastructure. The stakeholder engagement study was conducted to identify current and best practices used by agencies to effectively deploy and quantitatively evaluate the potential and realized benefits of various ATM strategies. Gaps within currently available guidelines and requirements were identified and guidance to support a transition to innovative, non-traditional media for presenting dynamic information was also investigated. This study relied on email communications, targeted web-based surveys and virtual telephone interviews, and a focus group to gather information from 13 transportation agencies about a variety of permanent and temporary ATM deployments. This study showed that most ATM deployment evaluations focus on travel time and delay measures to quantify mobility benefits, although mobility is not always considered since it can be challenging to quantify or may not be a focus of all ATM deployments. Evaluation approaches varied from a relatively simple before-after calculation of trends or statistical analysis of data to more complex modeling methodology or video analysis. Multiple evaluation reports are available to review methodology and findings in greater detail. Respondents with temporary ATM deployments in work zones noted challenges with evaluation due to the short duration and different conditions for each location. Many respondents struggled with defining how their agency balances driver needs versus safety, mobility, and costs for ATM deployments, with some interviewees saying they were not sure that their agencies fully understood “driver needs”. Survey responses showed varying responses, with nearly all agencies considering both mobility impacts and safety impacts for all types of ATM strategies, a large majority considering costs for all types of ATM strategies, and most considering driver needs for at least one type of ATM strategy. Regarding available ATM resources and gaps, peer exchanges and interactions with other agencies that have deployed ATM strategies were cited most frequently as the primary, and often best, resource. Respondents also noted a variety of Federal Highway Administration (FHWA) resources and the MUTCD. Respondents identified resource gaps in many topic areas, particularly message display, sign placement, and software and algorithm development for automated operations. In-vehicle messaging resources were not identified as a gap, perhaps in part due to agency liability concerns, limited testing and deployment, or reliance on the private sector or other non-agency partners to develop and facilitate the provision of in-vehicle messages. The research activities conducted in this project provided actionable information pertaining to several of the research gaps. However, because the studies targeted a broad set of research gaps, the resulting information did not address each research gap completely. Based on the findings, initial design guidelines and recommendations were generated. This information was presented as two separate “guidelines” that provided high-level design information target at ATM message developers. Each guideline included additional discussion and design issues developed based on the best-available information from the literature review and empirical activities. Guideline 1 stated that: Alternative ATM media must be coordinated with the primary information provided by infrastructure-based ATM media. The following attributes support good use of traditional and alternative ATM media. • Alternative media should supplement, not replace infrastructure-based ATM media • Ensure that alternative ATM media information type and timing are consistent with the ones used in the infrastructure-based ATM messages • Use alternative ATM media to present persistent information continuously • The presentation timing of alternative ATM media should complement or match the time-course of infrastructure-based ATM messages • Coordinate onset timing of alternative ATM media to the legibility distance of infrastructure-based ATM media Guideline 2 stated that : When used to supplement traditional ATM media, an alternative ATM medium’s message modality, message type, and location should have characteristics that promote driver information retention and understanding, without causing distraction. • Use auditory-visual (AV) messages for alternative ATM media rather than visual-only messages o When providing auditory messages for dynamic speed limits, use descriptive messages and avoid prescriptive messages • Avoid using alternative ATM media as sole sources of ATM information • Different combinations of modalities suit different levels of complexity; match message modality to message complexity • In-vehicle displays should be in a location central to the driving task. Special accommodations should be made for smartphone displays Overall, ATM information dissemination is still an emerging topic that requires further research to establish best practices. Nevertheless, this project made significant strides toward framing the research gaps and addressing some of those information needs.

Simulator
Software

2 versions available

Triangulated Investigation of Trust in Automated Driving: Challenges and Solution Approaches for Data Integration

Year: 2021

Authors: TE Kalayci,EG Kalayci,G Lechner, N Neuhuber

In automated driving, an appropriate level of driver trust is essential to improve safety and ensure zero fatalities. Drivers must have a sufficient level of trust to intervene correctly in safety-critical situations: very low levels may lead to either continuous and excessive monitoring of the functions, reducing the attention paid to the environment or switching off these functions, whereas extreme trust in automated driving functions can result in dangerous driving situations because the environment is either insufficiently monitored or not monitored at all. A deeper understanding of trust in automated driving is challenging and requires a triangulated study in which the type of driver, vehicle usage, and environmental data are varied. However, many previous studies were based on a rather limited set of data sources, often relying on qualitative means such as pre-and-post interviews or trust questionnaires to evaluate trust in autonomous driving functions. Although data gathered through empirical research, such as conducting quantitative surveys or qualitative interviews, are simple to store and analyze, the collection and integration of vehicle and sensor data from different data sources usually pose important technical challenges in practice. Hence, a suitable data collection and integration strategy is required to address these challenges. In this context, we propose a general framework for collecting and integrating data from different sources with diverse capabilities and requirements to determine a driver’s trust in automated driving. Our proposed framework facilitates the integration of empirical and measurement data, allowing a triangulated investigation to provide a road map for the automotive industry.

Eye Tracking Glasses
Software

1 version available:

Multimodal features for detection of driver stress and fatigue

Year: 2020

Authors: A Němcová, V Svozilová, K Bucsuházy

Driver fatigue and stress significantly contribute to higher number of car accidents worldwide. Although, different detection approaches have been already commercialized and used by car producers (and third party companies), research activities in this field are still needed in order to increase the reliability of these alert systems. Also, in the context of automated driving, the driver mental state assessment will be an important part of cars in future. This paper presents state-of-the-art review of different approaches for driver fatigue and stress detection and evaluation. We describe in details various signals (biological, car and video) and derived features used for these tasks and we discuss their relevance and advantages. In order to make this review complete, we also describe different datasets, acquisition systems and experiment scenarios.

Eye Tracking Glasses
Simulator

3 versions available

Understanding the Cognitive and Psychological Impacts of Emerging Technologies on Driver Decision-Making Using Physiological Data

Year: 2020

Authors: S Agrawal

Emerging technologies, such as advanced driver-assistance systems (ADAS) and autonomous vehicles (AVs), are transforming the driving experience. These technologies can influence driver cognition and decision-making processes in various ways. This study aims to understand the cognitive and psychological impacts of these emerging technologies on driver decision-making by utilizing physiological data. Through the analysis of data such as heart rate variability, skin conductance, and eye-tracking metrics, the research investigates how drivers' mental and physical states are affected during interaction with ADAS and AVs. The findings aim to provide insights into improving the design and safety of these technologies, ultimately enhancing driver comfort and performance.

Eye Tracking Glasses
Software

4 versions available

Understanding the role of visual attention on wines’ purchase intention: An eye-tracking study

Year: 2020

Authors: P Monteiro,J Guerreiro,SMC Loureiro

Purpose: Wine bottles compete for consumers’ attention on the shelf during the decisive moment of choice. This study aims to explore the role that visual attention to wine labels has on the purchase decision and the mediating role of quality perceptions and desire on such purchase behaviors. Wine awards and consumption situation are used as moderators. Design/methodology/approach: The study was conducted in Portugal and 36 individuals participated in a 2 × 2 within subjects design (awarded/not awarded × self-consumption/social-consumption). For each scenario, individuals’ attention, perceptions of quality, desire and purchase intentions were recorded. Findings: Data from eye-tracking shows that, during the purchase process, the amount of attention given to a bottle is determinant of individuals’ purchase intentions, a relationship that increases in significance for bottles with awards and for when consumers are buying wine for a consumption situation involving a social environment. In addition, both quality perceptions and desire are confirmed to positively influence wines’ purchase intentions. Originality/value: By using an eye monitoring method, this paper brings new insights into the wine industry by highlighting the impact that wines’ labels and different consumption situations have on individuals’ attention and purchase intention. Wine producers and retailers may benefit from the insights provided by the current study to refine their communication strategies by either highlighting product characteristics and pictorial elements, as it is the case of the awards, or communicating about their products for different consumption situations.

Eye Tracking Glasses
Software

6 versions available

Detecting and Identifying Real and Decoy Tanks in a Computer Screen: Evidence from Stimuli Sensitivity and Eye-Tracking

Year: 2019

Authors: K Kallinen

In a modern warfare as well as in reconnaissance operations it is on one hand highly important to hide and protect own troops but on the other hand find and target the enemy. Target identification is often based on visual examination of video or still images produced by for example by Unmanned Aerial Vehicles (UAVs) or other means of Intelligence, Surveillance, and Reconnaissance (ISR). In the present study we examined the perception, detection and identification of real and decoy tanks among a total of 28 participants using reaction time tests and eye-tracking recordings during categorizing tasks of images of tanks (real vs. fake; without vs. with camouflage). We found, among other things, that fake and camouflage images of tanks as compared to real and non-camouflage images decreased identification speed. We also found that camouflage images elicited more attention shifting between image and background as compared to non-camouflage images. We argued that this is probable due the fact that as camouflage blurs the image contour and sharpness people seek cues for categorization by switching between image and background. The results are important in understanding the perception and identification of military visual objects in displays and can be used for example in optimization of decoys as well as, in connection with detection, configuring display settings.

Eye Tracking Glasses
Software

1 version available:

Do Different Tests of Spatial Navigation Measure the Same Ability?

Year: 2019

Authors: K Kim, M Fricke, O Bock

Our knowledge about the principles of human spatial navigation, their deficits in aging and disease, and the efficiency of countermeasures is still in its early phase. One factor that hindered more rapid progress in this field of research the bewildering variety of tests by which navigation was assessed in the past. For example, available tests assessed participants’ landmark knowledge (Rosenbaum et al. 2004), mental-imagery abilities (Ino et al. 2002), knowledge of ego- or allocentric directions or distances (Wolbers et al. 2004), path integration abilities (Allen et al. 2004; Goeke et al. 2013) or route generation abilities (Moffat et al. 2006), but it remained unclear to what extent those tests quantify similar versus distinct underlying abilities. The aim of the present study was to establish the feasibility of a factor analytical approach to determine the underlying latent variables.

Eye Tracking Glasses
Simulator
Software

3 versions available

Effect on mode awareness when changing from conditionally to partially automated driving

Year: 2019

Authors: A Feldhütter, N Härtwig,C Kurpiers

Future vehicles will combine different levels of capable driving automation characterized by varying responsibilities for users. This development will lead to an increase in system complexity which poses the risk of confusing the driver. Based on the theory of proactive interference, we hypothesize that the users’ mode awareness suffers especially when changing from Level 3 “Conditional Automation” to Level 2 “Partial Automation”. Consequently, a mode transition intermitted by a short phase of manual driving acts as a countermeasure for a loss of mode awareness. Assumptions were tested in a driving simulator study with 45 valid participants. Mode awareness was operationalized by the visual attention towards driving-relevant areas and a qualitative analysis of an interview. Results indicate that in partial automation, visual attention does not deteriorate due to a lack of mode awareness, but rather to the development of overreliance arising from the experience with a very reliable partially automated system.

Eye Tracking Glasses
Simulator

4 versions available

Evaluation of the index of cognitive activity (ICA) as an instrument to measure cognitive workload under differing light conditions

Year: 2019

Authors: L Rerhaye, T Blaser, T Alexander

A straightforward and valid instrument for measuring cognitive workload would be heavily appreciated in many research areas, such as human-machine-interaction, driver behavior (e.g. automation and fatigue), usability and UI design (e.g. adaptive displays), training and education, or other areas, that are interested in the assessment of the cognitive state of a person. The Index of Cognitive Activity (ICA) is a promising but also controversially discussed instrument that could be of high relevance if it keeps its promises. The ICA is a patent from the year 2000, which claims to be an effective, light-independent recording method of mental workload. On the basis of a literature research, we carried out a lab experiment to evaluate the ICA. Participants were equipped with an Eyetracking device and worked on a mental rotation task and a Stroop task under varying light conditions. The NASA-TLX was to be answered after each test condition to evaluate the subjective workload of the participants in each condition. If the ICA is truly light-independent, the ICA should show the same mental workload for each light condition. Results show expected ICA values for the Spatial Task, but inconclusive ICA values for the Stroop Task. Possible explanations and future work is discussed.

Eye Tracking Glasses
Software

2 versions available