62 Ingenieurwissenschaften
Filtern
Dokumenttyp
Sprache
- Englisch (15)
Volltext vorhanden
- ja (15)
Gehört zur Bibliographie
- nein (15)
Schlagworte
- Radar (4)
- CO2-Bilanz (3)
- Elektrofahrzeug (3)
- Elektromobilität (2)
- Emissionsverringerung (2)
- Kraftfahrzeugindustrie (2)
- Kraftwagen (2)
- LCA (2)
- Umweltbilanz (2)
- carbon footprint (2)
- diesel (2)
- ATR-Technik (1)
- Agent <Künstliche Intelligenz> (1)
- Autobahn (1)
- Autofahren (1)
- BEV (1)
- BEV (battery electric vehicle) (1)
- Batterie (1)
- Batteriefahrzeug (1)
- Branch-and-Bound-Methode (1)
- CO2 (1)
- China (1)
- Demontage (1)
- Deutschland (1)
- Dieselkraftstoff (1)
- Dieselmotor (1)
- E. coli (1)
- Escherichia coli (1)
- FT-IR-Spektroskopie (1)
- Fahrerassistenzsystem (1)
- Fed-batch-Verfahren (1)
- Fermentation (1)
- Frequenzumsetzung (1)
- Frequenzverdopplung (1)
- GHG (1)
- GWP (1)
- Gehirn-Computer-Schnittstelle (1)
- Industrieroboter (1)
- K2Al2B2O7 (1)
- KABO (1)
- Klimaänderung (1)
- Kohlendioxidemission (1)
- Kristall (1)
- Künstliche Intelligenz (1)
- Lasertechnologie (1)
- Methode der kleinsten Quadrate (1)
- NIR-Spektroskopie (1)
- NLO crystals (1)
- NLO-Kristall (1)
- NO x (1)
- Nanyang Technological University (1)
- Neurowissenschaften (1)
- Nichtlineare Optik (1)
- PM (1)
- Plug-in-Hybrid (1)
- Robotertechnik (1)
- Rotationsdispersion (1)
- Singapur (1)
- Suchverfahren (1)
- Umwelt-Campus Birkenfeld (1)
- Universität (1)
- Verkehrsregelung (1)
- Wellenlänge (1)
- YAB (1)
- YAl3(BO3)4 (1)
- alternating least squares (1)
- battery (1)
- battery electric vehicle (1)
- battery production (1)
- battery second use (1)
- battery size (1)
- black carbon (1)
- brain-computer interface (1)
- branch and bound search algorithm (1)
- break-even mileages (1)
- break-even production (1)
- building emissions (1)
- carbon footprinting (1)
- carbon mass balance constraint (1)
- climate change impact (1)
- diesel car boom (1)
- dieselization (1)
- disassembly plan (1)
- disassembly process (1)
- driver-assisting system (1)
- driving performance (1)
- electric bus (1)
- electric cars (1)
- embodied emissions (1)
- embodied impacts (1)
- emissions (1)
- emissions mitigation costs (1)
- energy use (1)
- environmental impact (1)
- fed-batch (1)
- fermentation (1)
- freeway operation (1)
- frequency conversion (1)
- fuel (1)
- global warming (1)
- global warming potential (1)
- greenhouse gas emissions (1)
- health effects (1)
- health impact (1)
- human-robot-collaboration (1)
- hybrid modelling (1)
- impact categories (1)
- informed software agent (1)
- intelligent robot assistant (1)
- inversion twin (1)
- learning rates (1)
- life cycle assessment (1)
- multivariate curve resolution (1)
- near-infrared spectroscopy (1)
- optical activity (1)
- optical rotatory dispersion (1)
- passenger kilometers travelled (1)
- plug-in hybrid cars (1)
- product model (1)
- ramp metering (1)
- real-world driving (1)
- real-world life-cycle inventory (1)
- renewable energy (1)
- robot system (1)
- second harmonic generation (1)
- soft constraints (1)
- soot (1)
- stochastic capacity (1)
- taxation (1)
- toxic emissions (1)
- traffic control (1)
- traffic modes (1)
- university carbon footprint (1)
- university sustainability (1)
- vehicle size effect (1)
- voluntary agreement (1)
- well-to-wheels (1)
- zero emission university (1)
Optimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise driver comfort, it is necessary to identify brain areas that are most sensitive to mental workload changes. In this study, we used functional near-infrared spectroscopy and subjective ratings to measure mental workload in two virtual driving environments with distinct demands. We found that demanding city environments induced both higher subjective workload ratings as well as higher bilateral middle frontal gyrus activation than less demanding country environments. A further analysis with higher spatial resolution revealed a center of activation in the right anterior dorsolateral prefrontal cortex. The area is highly involved in spatial working memory processing. Thus, a main component of drivers’ mental workload in complex surroundings might stem from the fact that large amounts of spatial information about the course of the road as well as other road users has to constantly be upheld, processed and updated. We propose that the right middle frontal gyrus might be a suitable region for the application of powerful small-area brain computer interfaces.