Francesco Biondi

Francesco Biondi
University of Windsor · Department of Kinesiology

Ph.D. in Human Factors

About

57
Publications
17,123
Reads
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709
Citations
Additional affiliations
January 2012 - December 2014
University of Padova
Position
  • PhD Student

Publications

Publications (57)
Article
Full-text available
Objective: The objective was to establish a systematic framework for measuring and understanding cognitive distraction in the automobile. Background: Driver distraction from secondary in-vehicle activities is increasingly recognized as a significant source of injuries and fatalities on the roadway. Method: Across three studies, participants co...
Article
Full-text available
COVID-19 had a disruptive effect on the global community. This study looks at the effects that the stringent lockdown measures enacted in March 2020 had on motorists’ driving patterns. In particular, given the greater portability of remote working associated with the drastic decline in personal mobility, it is hypothesized that these may have serve...
Preprint
COVID-19 had a disruptive effect on the global community. In this study, we look at the effects that the stringent lockdown measures enacted in March 2020 had on motorists' driving patterns. In particular, given the greater portability of remote working associated with the drastic decline in personal mobility, we hypothesize that these may have ser...
Chapter
Full-text available
An important goal in automation is to create machines that are able to better understand human cognitive states so that the overall system efficiency can be enhanced. For example, an advanced driver assistance system (ADAS) equipped with the ability to understand the cognitive state of human will enhance the overall safety of the roads. Similar sce...
Article
An accurate and complete understanding of automated systems is necessary for their safe and effective use. In this article, I discuss the importance that driver’s mental models play in advanced driver assistance systems adoption. After discussing the contribution that the wider human factors literature made to the investigation on mental models, I...
Article
Full-text available
The dataset contains the following three measures that are widely used to determine cognitive load in humans: Detection Response Task - response time, pupil diameter, and eye gaze. These measures were recorded from 28 participants while they underwent tasks that are designed to permeate three different cognitive difficulty levels. The dataset will...
Chapter
This work investigated the effect of mental models on the effectiveness of an advanced driver assistance system (ADAS). The system tested was a lateral control ADAS, which informed the drivers whether the vehicle was correctly positioned inside the lane or not, with the use of two visual and one auditory stimuli. Three driving simulator experiments...
Patent
Full-text available
The present disclosure relates to a communication controller (2) for controlling a vehicle initiated dialogue (VID) composed of at least one dialogue component (7). The communication controller includes at least one processor (3) configured to control output of said at least one dialogue component. A memory (4) is connected to the at least one proc...
Article
Full-text available
Objective This study investigates the cost of detection response task performance on cognitive load. Background Measuring system operator’s cognitive load is a foremost challenge in human factors and ergonomics. The detection response task is a standardized measure of cognitive load. It is hypothesized that, given its simple reaction time structur...
Article
Full-text available
Objective This study investigates the effect of cognitive overload on assembly task performance and muscle activity. Background Understanding an operator’s cognitive workload is an important component in assessing human–machine interaction. However, little evidence is available on the effect that cognitive overload has on task performance and musc...
Article
Full-text available
Introduction: This study investigates the effect of precision teaching signals on lane maintenance. Methods: In experiment 1, the control group drove a simulator with no signals. In experiment 2, drivers were presented with auditory signals depending on their position within or outside the lane. In experiment 3, visual signals were presented in...
Article
Full-text available
Background: New automobiles provide a variety of features that allow motorists to perform a plethora of secondary tasks unrelated to the primary task of driving. Despite their ubiquity, surprisingly little is known about how these complex multimodal in-vehicle information systems (IVIS) interactions impact a driver's workload. Results: The curre...
Article
In an automated car, users can fully engage in a distractor task, making it a primary task. Compared to manual driving, drivers can engage in tasks that are difficult to interrupt and of higher demand, the consequences can be a reduced perception of, and an impaired reaction to, warnings. In this study we compared three in-vehicle warnings (auditor...
Article
Full-text available
Objective: The present research compared and contrasted the workload associated with using in-vehicle information systems commonly available in five different automotive original equipment manufacturers (OEMs) with that of CarPlay and Android Auto when used in the same vehicles. Background: A growing trend is to provide access to portable smartp...
Article
Given the promise for auditory-vocal systems to be less distracting and safer to use than their visual-manual counterparts, automotive manufacturers are introducing an increasing number of voice assistant-like interfaces in vehicles. However, recent studies suggest using auditory-vocal systems can be mentally taxing for drivers, and require long in...
Article
Full-text available
To draw a comprehensive and cohesive understanding of human–vehicle cooperation in automated driving, a review is made on key studies in human–robot interaction and human factors. Throughout this article, insight is provided into how human drivers and vehicle systems interplay and influence each other. The limitations of technology-centered taxonom...
Article
Full-text available
The N-back and Surrogate Reference Task (SuRT) are frequently used to evaluate the workload potential of secondary driving tasks as high cognitive and visual demand benchmarks. This paper examines the effect of repeated exposures to the N-back and SuRT reference tasks, and any resulting change in task performance or workload that may negate their e...
Article
Full-text available
The introduction of semi-automated driving systems is expected to mitigate the safety consequences of human error. Observational findings suggest that relinquishing control of vehicle operational control to assistance systems might diminish driver engagement in the driving task, by reducing levels of arousal. In this study, drivers drove a Tesla Mo...
Article
Full-text available
Despite driver assistance systems being engineered to enhance safety, recent studies show the potential for some of these systems and deficient human–machine interfaces to cause unintended consequences on safety. The NHTSA, the Alliance of Automotive Manufacturers, and the European Commission have all released best practices and human factors guide...
Article
Full-text available
Despite driver assistance systems being engineered to enhance safety, recent studies show the potential for some of these systems and deficient human-machine interfaces to cause unintended consequences on safety. NHTSA, the Alliance of Automotive Manufacturers and the European Commission have all released best practices and Human Factors guidelines...
Article
A study was conducted to examine the cognitive underpinnings of consumers’ beliefs and confidence in their beliefs about fully automated vehicles. Opinions about self-driving cars tended to be favorable. The most negative views were held by participants who had the least knowledge of fully automated vehicles. Low trust in technology was also associ...
Conference Paper
Full-text available
Partial-autonomous vehicles are among us and represent a prominent testing ground for assessing the human interaction with autonomous vehicles. One main limitation of the studies investigating would-be users’ attitude toward partial to full autonomous driving stems from their indirect experience with such technology. In this study, participants dro...
Conference Paper
Full-text available
Selection and comparison of human-factors related measures for evaluations of in-vehicle devices involves weighting of multiple criteria. It may result in a complex decision-making process for the practitioner, specifically in a time pressured industrial context. Visual information seeking has successfully been applied to reduce the complexity of d...
Article
Full-text available
With semi-automous vehicles and innovative assistance systems flooding the market, the characteristics of warning signals for automotive human-machine interfaces determine their effectiveness and usage. In the context of advanced driver assistance systems, poorly designed warning signals have the potential to startle and distract drivers. Previous...
Article
Full-text available
With semi-autonomous vehicles being pushed onto the market, driver monitoring systems play a relevant role in determining the user’s level of engagement whenever an automated-to-manual transition of control is scheduled to occur. As current monitoring systems heavily rely on steering behavior and ocular parameters as inputs for their algorithms, th...
Conference Paper
Full-text available
With semi-autonomous vehicles being pushed onto the market, driver monitoring systems play a relevant role in determining the user’s fitness to drive whenever an automated-to-manual transition of control occurs. Current monitoring systems heavily rely on steering behavior and ocular parameters as inputs to determine the driver state. This study aim...
Conference Paper
The characteristics of warning signals for automotive human-machine interfaces determine their effectiveness and usage. In the context of advanced driver assistance systems, poorly designed warning signals have the potential to startle and distract drivers. Previous studies have investigated the effectiveness of multimodal warning signals and found...
Article
Full-text available
This study investigated whether multimodal redundant warnings presented by advanced assistance systems reduce brake response times. Warnings presented by assistance systems are designed to assist drivers by informing them that evasive driving maneuvers are needed in order to avoid a potential accident. If these warnings are poorly designed, they ma...
Article
Full-text available
Multitasking diminishes the self-awareness of performance that is often essential for self-regulation and self-knowledge. Participants drove in a simulator while either talking or not talking on a hands-free cell phone. Following previous research, participants who talked on a cell phone made more serious driving errors than control participants wh...
Conference Paper
Full-text available
This study assessed the impact of cognitive distraction on drivers’ anticipatory glances. Participants drove an instrumented vehicle and executed a number of secondary tasks associated with increasing levels of mental workload including: listening to the radio or audiobook, talking on a handheld or hands-free cellphone, interacting with a voice-bas...
Article
With the aim of reducing the number of road traffic deaths around the world, the United Nations General Assembly proclaimed 2011-2020 the Decade of Action for Road Safety. Excessive speed is one of the main problems to overcome. The aim of this study was to test the effectiveness of traffic-calming measures in reducing drivers' speed along a road w...
Conference Paper
Full-text available
Autonomous vehicles or fully-automated cars are vehicles capable of driving without the need by the driver to control them. This study aims to investigate the impact of autonomous vehicles on drivers' behavior and, in particular, situation awareness. Three different experimental conditions were considered: control -participants drove a regular vehi...
Conference Paper
Advanced Driver Assistance Systems or ADAS are designed to assist the driver in the process of controlling a vehicle. When the driving conditions become unsafe (e.g., the distance between vehicles is too short), warnings are emitted to inform the driver that given maneuvers (e.g., reducing the speed) have to be executed in order to avoid accidents....
Article
Advanced driver assistance systems (ADAS) are designed to assist individuals while they are at the wheel of a motor vehicle. Many ADAS emit acoustic signals when parameters such as drivers’ maintained speed exceed given thresholds. This study examines the early and late effects on lane keeping and speed maintenance produced by both the onset of and...
Article
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Article
Full-text available
When examining facts concerning road safety, as stated by the United Nations General Assembly, one of the most important problems is vehicle speed. The aim of this work is to evaluate the potential influence of traffic-calming measures on drivers’ speed. In particular, attention focuses on warning sounds produced by communication between vehicles...
Article
Full-text available
Resolution A/RES/64/255 of the United Nations General Assembly proclaimed the period 2011–2020 as the “Decade of Action for Road Safety” worldwide, with the goal of stabilizing and then reducing the forecast level of road traffic fatalities around the world by increasing activities conducted at national, regional and global levels. Looking at the f...
Thesis
Full-text available
Per ogni sintomo, indica la risposta che, seconde te, descrive meglio il tuo stato attuale. I quattro livelli sono, in ordine crescente, Nessuno (sintomo non presente), Leggero (leggera presenza del sintomo), Moderato (moderata presenza del sintomo), Forte (forte presenza del sintomo).
Article
Full-text available
The potential impact on driving of the processing of a single, auditorily presented word is analyzed in this work. Because driving is a complex cognitive activity that involves the integration and coordination of multiple subprocesses, the authors narrowed the scope of the research to concentrate on one critical task involved in driving: driver bra...
Article
Full-text available
With the aim of reducing the number of road traffic deaths around the world, the United Nations General Assembly proclaimed 2011–2020 the Decade of Action for Road Safety. Excessive speed is one of the main problems to overcome. The aim of this study was to test the effective- ness of traffic-calming measures in reducing drivers’ speed along a road...

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Projects

Projects (3)
Project
Establishing more accurate physiological measures for driver monitoring systems
Project
Develop a framework for the assessment of the usability and demand of infotainment and ADAS human-machine interfaces. The framework will be applied for the assessment and comparison of a large scale of vehicles.