Abstract Oftentimes we find ourselves in situations which need to perform concurrent motor and cognitive tasks like simple locomotion while being cognitively involved. In the present study, investigated how far functioning interfere an outdoor environment. Our participants performed auditory oddball task concurrently completing various on outside premises of our institute. Beside behavioural responses subjective workload ratings, also analysed electrophysiological data recorded with a...

Adaptively changing between different tasks while in locomotion is a fundamental prerequisite of modern daily life. The cognitive processes underlying dual tasking have been investigated extensively using EEG. Due to technological restrictions, however, this was not possible for dual-task scenarios including locomotion. With new opportunities, became and cognitive-motor interference can be studied, even outside-the-lab environments. In the present study, participants carried out task as they...

We demonstrate and discuss the use of mobile electroencephalogram (EEG) for neuroergonomics. Both technical state art as well measures cognitive concepts are systematically addressed.Modern work is increasingly characterized by information processing. Therefore, examination mental states, load, or processing during becoming important ergonomics.Mobile EEG allows to measure states processes under real live conditions. It can be used various research questions in Besides frequency domain that...

Evaluating and understanding the cognitive demands of natural activities has been difficult using neurocognitive approaches like mobile EEG. While task-unrelated stimuli are commonly added to a workplace simulation estimate event-related processes, eyeblink activity poses an alternative as it is inherent human behavior. This study aimed investigate eye blink EEG fourteen subjects while working in power-plant operator - actively operating (active condition) or observing (passive real-world...

Film based round the ear electrodes (cEEGrids) provide both, accessibility of unobtrusive mobile EEG as well a rapid application in stationary settings when extended measurements are not possible. In large-scale evaluation driving abilities older adults (N > 350) realistic simulation, we evaluated to what extent mental demands can be measured using cEEGrids completely unrestricted environment. For first frequency-based analysis, scenario was subdivided into different street segments with...

Blinking is a natural user-induced response which paces visual information processing. This study investigates whether blinks are viable for segmenting continuous electroencephalography (EEG) activity, inferring cognitive demands in ecologically valid work environments. We report the blink-related EEG measures of participants who performed auditory tasks either standing, walking on grass, or whilst completing an obstacle course. Blink-related activity discriminated between different levels...

Healthy aging is associated with a decline in cognitive functions. This may become an issue when complex tasks have to be performed like driving car demanding traffic situation. On the other hand, older people are able compensate for age-related deficits, e.g. by deploying extra mental effort and compensatory strategies. The present study investigated interplay of age, task workload, using EEG measures proactive task, which 16 younger participants had keep virtual on track curvy road. Total...

Driving safety strongly depends on the driver's mental states and attention to driving situation. Previous studies demonstrate a clear relationship between EEG measures states, such as alertness drowsiness, but often only map their state for longer period of time. In this simulation study, we exploit high temporal resolution capture fine-grained modulations in cognitive processes occurring before after eye activity form saccades, fixations, blinks. A total 15 subjects drove through an...

Accurately evaluating cognitive load during work-related tasks in complex real-world environments is challenging, leading researchers to investigate the use of eye blinking as a fundamental pacing mechanism for segmenting EEG data and understanding neural mechanisms associated with workload. Yet, little known about temporal dynamics blinks related visual processing relation representation task-specific information. Therefore, we analyzed responses from two experiments involving simulated...

This paper introduces a model integrating research on antecedents of safe and enjoyable interaction with highly automated advanced driver assistance systems (ADAS). It focuses the psychological processes during initial encounters system, in which system features interact personality factors building up beliefs attitudes about affecting further usage system. Our ongoing study is conducted online aims at validating elaborating introduced model. In study, participants are to self-driving agent,...

Background Numerous wearables are used in a research context to record cardiac activity although their validity and usability has not been fully investigated. The objectives of this study is the cross-model comparison data quality at different realistic use cases (cognitive physical tasks). recording expressed by ability accurately detect QRS complex, amount noise data, RR intervals. Methods Five ECG devices (eMotion Faros 360°, Hexoskin Hx1, NeXus-10 MKII, Polar RS800 Multi SOMNOtouch NIBP)...

To ensure natural communication in Human-Robot Interaction (HRI), robots' design and appearance features, e.g., like the degree of anthropomorphism especially expression emotions, must be considered. In this study, we investigated how different types robots are perceived complex affective settings. While varying expressed participants' emotion recognition ability influence on uncanniness were observed. We used 16 scenes from movies, which presented that systematically differed their...

Abstract Assessing drivers’ cognitive load is crucial for driving safety in challenging situations. This research employed the occurrence of natural eye blinks as cues continuously recorded EEG data to assess workload while reactive or proactive driving. Twenty-eight participants performed either a lane-keeping task with varying levels crosswind (reactive) curve road (proactive). The blink event-related potentials (bERPs) and spectral perturbations (bERSPs) were analyzed variations. study...

Modern living and working environments are more interspersed with the concurrent execution of locomotion sensory processing, most often in visual domain. Many job profiles involve presentation information while walking, for example warehouse logistics work, where a worker has to manage walking correct aisle pick up package being presented over data-glasses concerning next order. Similar use-cases can be found manufacturing jobs, car montage assembly lines steps via augmented reality headsets...

The EEG reflects mental processes, especially modulations in the alpha and theta frequency bands are associated with attention allocation of resources. has also been used to study processes while driving, both real environments virtual reality. However, conventional methods limited use outside controlled laboratory settings. While modern technologies offer hardly any restrictions for user, they often still have limitations measurement reliability. We recently showed that low-density using...

Modern work is increasingly characterized by information processing. Therefore, the examination of mental states, load or cognitive processing during becoming important for ergonomics. Mobile EEG a rapidly developing technology that can objectifiably display processes and conditions without impairing worker while working. In this paper we try to give an overview available technologies, problems measurement experimental setup, but also show which aspects be mapped with mobile measures are...

Abstract Decoding locomotor tasks is crucial in cognitive neuroscience for understanding brain responses to physical tasks. Traditional methods like EEG offer activity insights but may require additional modalities enhanced interpretative precision and depth. The integration of with ocular metrics, particularly eye blinks, presents a promising avenue processes by combining neural behaviors. However, synchronizing blink activities poses significant challenge due their frequently inconsistent...

Driving safety strongly depends on the driver's mental states and attention to driving situation. Previous studies demonstrate a clear relationship between EEG measures states, such as alertness drowsiness, but often only map their state for longer period of time. In this simulation study, we exploit high temporal resolution capture fine-grained modulations in cognitive processes occurring before after eye activity form saccades, fixations, blinks. A total 15 subjects drove through an...

Recent developments in cognitive neuroscience have emphasized the use of naturalistic experimental paradigms, especially for real-world tasks like driving. This research introduced a blink-locked EEG segmentation method and contrasted its efficacy with traditional segmentation. For three difficulty levels proactive reactive driving, we show significant improvement classification accuracy using multi-classifier SVM method, indicating enhancements 4.3% driving 4.4% These findings underscore...

Zusammenfassung Der E‑Commerce-Bereich erfährt aufgrund der Digitalisierung einen kontinuierlichen Aufschwung in Logistik. Mensch bleibt vor dem Hintergrund mehrheitlich manuell ausgeführten Tätigkeiten eine entscheidende Ressource im Lager, die es, mit besonderem Blick auf den demografischen Wandel, zu halten und integrieren gilt. Im Beitrag werden Befragungsergebnisse einer Feldstudie Fokus Bereich Kommissionierung, bei einem großen Versandhändler durchgeführt wurde, exemplarisch...