A5033286178- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- Safety Warnings and Signage
- Ergonomics and Musculoskeletal Disorders
- Vehicle emissions and performance
- Transportation and Mobility Innovations
- Older Adults Driving Studies
- Ergonomics and Human Factors
- Traffic control and management
- Flexible and Reconfigurable Manufacturing Systems
- Sleep and Work-Related Fatigue
- Virtual Reality Applications and Impacts
- Digital Innovation in Industries
- Occupational Health and Safety Research
- Musculoskeletal pain and rehabilitation
- Healthcare Technology and Patient Monitoring
- Social Robot Interaction and HRI
- Sports Science and Education
- Transportation Planning and Optimization
- Muscle activation and electromyography studies
- Safety Systems Engineering in Autonomy
- Usability and User Interface Design
- Color perception and design
- Tactile and Sensory Interactions
Technical University of Munich
2015-2024
Audi (Germany)
2019
State Street (United States)
2018
CCD Design & Ergonomics (United Kingdom)
2017
Universität Bayern
2015
Ludwig-Maximilians-Universität München
2014-2015
Institute of Electrical and Electronics Engineers
2014
Max Planck Computing and Data Facility
2013
Klinikum rechts der Isar
2011
Beijing Institute of Technology
2011
This contribution provides a review of fundamental goals, development and future perspectives driver assistance systems. Mobility is desire mankind. Virtually any society strives for safe efficient mobility at low ecological economic costs. Nevertheless, its technical implementation significantly differs among societies, depending on their culture degree industrialization. A potential evolutionary roadmap systems discussed. Emerging from based proprioceptive sensors, such as ABS or ESC, we...
Raising the automation level in cars is an imaginable scenario for future order to improve traffic safety. However, as long there are situations that cannot be handled by automation, driver has enabled take over driving task a safe manner. The focus of current study understand at which point time driver’s attention must directed back task. To investigate this issue, experiment was conducted dynamic simulator and two take-over times were examined compared manual driving. conditions designed...
Highly automated driving constitutes a temporary transfer of the primary task from driver to vehicle. In case system limits, drivers take back control This study investigates effect varying traffic situations and non-driving related tasks on take-over process quality. The experiment is conducted in high-fidelity simulator. standardized visual Surrogate Reference Task (SuRT) cognitive n-back are used simulate tasks. Participants experience four different situations. Results this show strong...
The aim of this study was to quantify the impact traffic density and verbal tasks on takeover performance in highly automated driving.In vehicles, driver has occasionally take over vehicle control when approaching system limits. To ensure safety, ability regain driving task under various situations different states needs be quantified.Seventy-two participants experienced requiring an evasive maneuver a three-lane highway with varying (zero, 10, 20 vehicles per kilometer). In between-subjects...
Highly automated vehicles (Level 3, [1]) are likely to enter the market within next decade. By removing driver from driver-vehicle system, positive impacts, for instance on road-safety or fuel consumption, expected. These predicted effects can only arise if accepted by society. Trust as well attitude towards technology has been found be a precursor in acceptance formation process. Therefore, we conducted driving simulator experiment interdisciplinary research group at Munich Center of...
Automated driving can fundamentally change road transportation and improve quality of life. However, at present, the role humans in automated vehicles (AVs) is not clearly established. Interviews were conducted April May 2015 with 12 expert researchers field human factors (HFs) to identify commonalities distinctive perspectives regarding HF challenges development AVs. The experts indicated that an AV up SAE Level 4 should inform its driver about AV's capabilities operational status, ensure...
Besides resource depletion caused by being actively engaged in a task, there are several signs that passive monitoring, monotony and fatigue can also induce vigilance decrement. Partially automated driving represents such situation as the driver's only task is to monitor system. In this work, we investigate decrement of during partially highway drive simulator. Indicators used assess state was reaction time measured eye tracking mind wandering questionnaire. 20 participants drove simulator...
AbstractThis article provides a general ergonomic framework of cooperative guidance and control for vehicles with an emphasis on the cooperation between human highly automated vehicle. In twenty-first century, mobility automation technologies are increasingly fused. sky, aircraft flying high safety record. On ground, variety driver assistance systems being developed, autonomous capabilities becoming possible. Human-centred has paved way better humans. How can these be structured so that they...
During automated driving, there is a need for interaction between the vehicle (AV) and passengers inside AV surrounding road users outside of car. For this purpose, different types human machine interfaces (HMIs) are implemented. This paper introduces an HMI framework describes factors influencing their selection content. The relationship these also presented in framework. Moreover, interrelations analyzed. Furthermore, we describe how can be used academia industry to coordinate research...
BACKGROUND: Social, technological, and legal changes imply new solutions to support the human worker in industrial environment of future. OBJECTIVE: Optimizing working conditions by adapting collaborative assistance systems terms
The task of car driving is automated to an ever greater extent. In the foreseeable future, drivers will no longer be required touch steering wheel and pedals could engage in non-driving tasks such as working or resting. Vibrotactile displays have potential grab attention driver when automation reaches its functional limits has take over control. aim present literature survey outline key physiological psychophysical aspects vibrotactile sensation provide recommendations relevant research...
Activities in the field of automated driving have produced a variety development tools and methodologies over past decades. The requirements systems to fulfil thus also guidelines are often documented different kinds catalogues (use‐case catalogues, situation scenario etc.). These cannot be directly applied for partially highly vehicle guidance concepts like conduct‐by‐wire (CbW) or H‐mode. One reason is that up now, no consistent terminology known authors yet exists automation within...
This paper assessed four types of human-machine interfaces (HMIs), classified according to the stages automation proposed by Parasuraman et al. ["A model for and levels human interaction with automation," IEEE Trans. Syst. Man, Cybern. A, Humans, vol. 30, no. 3, pp. 286-297, May 2000]. We hypothesized that drivers would implement decisions (lane changing or braking) faster more correctly when receiving support at a higher stage during transitions from conditionally automated driving manual...
It was investigated whether providing an explanation for a takeover request in automated driving influences trust automation and acceptance.Takeover requests will be recurring events conditionally that could undermine as well acceptance and, therefore, the successful introduction of vehicles.Forty participants were equally assigned to either experimental group provided with reason or control without explanations. In simulator drive, both groups experienced three scenarios varied obviousness...
This paper reviews the history of automotive technology development and human factors research, largely by decade, since inception automobile. The aspects were classified into primary driving task (controls, displays, visibility), driver workspace (seating packaging, vibration, comfort, climate), driver’s condition (fatigue impairment), crash injury, advanced driver-assistance systems, external communication access, behavior. For each era, describes SAE ISO standards developed, major...
To utilize drivetime by engaging in non-driving related (secondary) tasks while driving highly automated is very likely to occur as soon Level 3 (see NHTSA, 2013) vehicles enter the market. For this reason, it has be investigated advance whether different are impeding drivers’ capabilities of regaining control take-over situations and thereby compromising safety. purpose, studies regarding were reviewed an experiment a high fidelity simulator involving 24 participants was conducted,...
We investigated after effects of automation in take-over scenarios a high-end moving-base driving simulator. Drivers performed evasive manoeuvres encountering blocked lane highway driving. compared the performance drivers 1) during manual driving, 2) automated with eyes on road while performing cognitively demanding n-back task, and 3) off visually SuRT task. Both minimum time to collision (TTC) clearance towards obstacle disclosed substantial number near miss events are regarded as valuable...