Own-race and own-age biases facilitate visual awareness of faces under interocular suppression

The detection of a face in a visual scene is the first stage in the face processing hierarchy. Although all subsequent, more elaborate face processing depends on the initial detection of a face, surprisingly little is known about the perceptual mechanisms underlying face detection. Recent evidence suggests that relatively hard-wired face detection mechanisms are broadly tuned to all face-like visual patterns as long as they respect the typical spatial configuration of the eyes above the mouth. Here, we qualify this notion by showing that face detection mechanisms are also sensitive to face shape and facial surface reflectance properties. We used continuous flash suppression (CFS) to render faces invisible at the beginning of a trial and measured the time upright and inverted faces needed to break into awareness. Young Caucasian adult observers were presented with faces from their own race or from another race (race experiment) and with faces from their own age group or from another age group (age experiment). Faces matching the observers’ own race and age group were detected more quickly. Moreover, the advantage of upright over inverted faces in overcoming CFS, i.e., the face inversion effect (FIE), was larger for own-race and own-age faces. These results demonstrate that differences in face shape and surface reflectance influence access to awareness and configural face processing at the initial detection stage. Although we did not collect data from observers of another race or age group, these findings are a first indication that face detection mechanisms are shaped by visual experience with faces from one’s own social group. Such experience-based fine-tuning of face detection mechanisms may equip in-group faces with a competitive advantage for access to conscious awareness

Backward Evolving Quantum States

The basic concept of the two-state vector formalism, which is the time symmetric approach to quantum mechanics, is the backward evolving quantum state. However, due to the time asymmetry of the memory's arrow of time, the possible ways to manipulate a backward evolving quantum state differ from those for a standard, forward evolving quantum state. The similarities and the differences between forward and backward evolving quantum states regarding the no-cloning theorem, nonlocal measurements, and teleportation are discussed. The results are relevant not only in the framework of the two-state vector formalism, but also in the framework of retrodictive quantum theory.Comment: Contribution to the J.Phys. A special issue in honor of GianCarlo Ghirard

Gender differences in noise concerns about civil drones

Rapid technological developments provide people with an increasing number of opportunities for applying civil drones (e.g., rescue operations). However, one crucial aspect for the future use of drones will be their public acceptance. Importantly, drone acceptance is considered to substantially rely on noise concerns. Recent research demonstrated differences between certain groups of individuals (e.g., females vs. males) in their attitudes towards civil drones. By means of a representative telephone survey in Germany (n = 832), we aimed at further investigating the influence of gender on drone acceptance. Chi-square Automatic Interaction Detection (CHAID) revealed noise concerns to be the most important of all assessed concerns for explaining female respondents’ attitudes towards civil drones, while concerns about damages/injuries best explained male participants’ attitudes. Moreover, our survey corroborates prior studies by showing males to be less concerned about civil drones than females (e.g., regarding noise). Additionally, we explored whether these effects could have been driven by confounding variables (e.g., drone experience). Thus, the present study highlights aspects of gender differences in concerns about drones which need to be examined further in future research

Public acceptance and noise considerations in urban air mobility research - Intermediate results of DLR's HorizonUAM project

The project "HorizonUAM - Urban Air Mobility Research at the German Aerospace Center (DLR)" pools existing competencies of eleven institutes within DLR. The project combines the research about urban air mobility (UAM) vehicles or air taxis, the corresponding infrastructure, the operation of UAM services, as well as the public acceptance of future urban air transportation. The analysis of flight guidance concepts and the sequencing of air taxis at vertidromes is a central part of the project. Selected concepts for flight guidance, communication and navigation technology are demonstrated with drones in a scaled urban scenario. The HorizonUAM project has started in 2020 and will run until mid-2023. Among the highlights of the first half of the research project are first vehicle fleet pre-designs including cabin interior design and the installation of a mixed reality UAM cabin simulator. A rating method for the design of starting and landing areas, so called vertidromes, has been established and a first capacity analysis was conducted for vertidrome integration at the airport of Hamburg, Germany. Furthermore, a virtual reality study on the acceptance of drones and air taxis flying over pedestrians in an urban setting has been completed with 47 subjects. An online survey among UAM stakeholders from unmanned aviation associations, research and industry confirmed the assumptions on the use cases defined within HorizonUAM: airport shuttle, suburban commuter, intra-city, inter-city and mega-city. This keynote gives an overview of the research covered in the HorizonUAM project with special focus on the topics of public acceptance and noise

The Future of Urban Air Mobility

The integration of air taxis into urban airspace: Findings from HorizonUAM, a research project of the German Aerospace Center (DLR

Die Zukunft der städtischen Luftmobilität

Die Integration von Lufttaxis in den städtischen Luftraum: Erkenntnisse aus HorizonUAM, einem Forschungsprojekt des Deutschen Zentrums für Luft- und Raumfahrt (DLR

Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi

For the successful development and implementation of novel concepts and technology, the acceptance of potential users is crucial. Therefore, within the project HorizonUAM, we investigated passengers' acceptance of air taxis. One challenge is that not many people have real experiences with urban air mobility (UAM) at the moment and thus requirements formulated by potential users refer to rather abstract concepts. To allow participants to gain realistic impressions of UAM concepts, a Mixed Reality Air Taxi Simulator was set up. It allows participants to experience an inner-city business shuttle flight. A study with 30 participants assessed the information needs and the influence of another person on board on wellbeing in nominal situations (experiment 1) as well as one non-nominal situation (experiment 2). For the latter, participants experienced a re-routing of the flight due to an unavailability of landing sites at the vertidrome. During and after the flights, participants answered questionnaires and extensive interviews were conducted. The study produced first empirical data on relevant factors regarding interaction, information needs and comfort within an air taxi. The findings show that passengers want to be informed about intentions of the vehicle. The presence of a steward on board is not necessary but can increase wellbeing especially during non-nominal situations.Comment: 16 pages, 12 figures, 8 table

Changes in performance and bio-mathematical model performance predictions during 45 days of sleep restriction in a simulated space mission

Lunar habitation and exploration of space beyond low-Earth orbit will require small crews to live in isolation and confinement while maintaining a high level of performance with limited support from mission control. Astronauts only achieve approximately 6 h of sleep per night, but few studies have linked sleep deficiency in space to performance impairment. We studied crewmembers over 45 days during a simulated space mission that included 5 h of sleep opportunity on weekdays and 8 h of sleep on weekends to characterize changes in performance on the psychomotor vigilance task (PVT) and subjective fatigue ratings. We further evaluated how well bio-mathematical models designed to predict performance changes due to sleep loss compared to objective performance. We studied 20 individuals during five missions and found that objective performance, but not subjective fatigue, declined from the beginning to the end of the mission. We found that bio-mathematical models were able to predict average changes across the mission but were less sensitive at predicting individual-level performance. Our findings suggest that sleep should be prioritized in lunar crews to minimize the potential for performance errors. Bio-mathematical models may be useful for aiding crews in schedule design but not for individual-level fitness-for-duty decisions