FG Biopsychologie und Neuroergonomie

26 Items

Recent Submissions
A three-armed cognitive-motor exercise intervention to increase spatial orientation and life-space mobility in nursing home residents: study protocol of a randomized controlled trial in the PROfit project

Wollesen, Bettina ; Fricke, Madeleine ; Jansen, Carl-Philipp ; Gordt, Katharina ; Schwenk, Michael ; Mühlbauer, Thomas ; Morawietz, Christina ; Kruse, Adele ; Gramann, Klaus (2020-10-31)

Background: In nursing home residents, the combination of decreasing mobility and declining cognitive abilities, including spatial orientation, often leads to reduced physical activity (PA) and life-space (LS) mobility. As a consequence of sedentary behavior, there is a lack of social interaction and cognitive stimulation, resulting in low quality of life. It has not yet been examined whether c...

Experimentation, “models” and the turn to practice

Sanches de Oliveira, Guilherme (2020-09-08)

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Towards a conceptual framework for cognitive probing

Krol, Laurens R. ; Zander, Thorsten O. (2018-05-23)

Cognitive probing combines the ability of computers to interpret ongoing measures of arbitrary brain activity, with the ability of those same computers to actively elicit cognitive responses from their users. Purposefully elicited responses can be interpreted in order to learn about the user, enable symbiotic and implicit interaction, and support neuroadaptive technology. We propose a working d...

Towards task-independent workload classification: Shifting from binary to continuous classification

Zhang, Xixie ; Krol, Laurens R. ; Zander, Thorsten O. (2019-01-17)

Passive Brain-Computer-Interfaces provide a promising approach to the continuous measurement of mental workload in realistic scenarios. Typically, a BCI is calibrated to discriminate between different levels of workload induced by a specific task. However, workload in realistic scenarios is typically a result of a mixture of different tasks. Here, we present a study on investigating the possibi...

Salience versus valence in implicit cursor control: First indications of separate cortical processes

Krol, Laurens R. ; Pawlitzki, Juliane ; Mousavi, Mahta ; Andreessen, Lena M. ; Zander, Thorsten O. (2019-11-28)

It has previously been shown that passive brain-computer interfacing enables implicit control over a cursor: participants were able to guide a cursor towards a target without being aware of doing so. The control was based on their brain's automatic responses to the cursor's autonomous movements. This raises questions with respect to informed consent and privacy of thought. The extent to which t...

A task-independent workload classifier for neuroadaptive technology: Preliminary data

Krol, Laurens R. ; Freytag, Sarah-Christin ; Fleck, Markus ; Gramann, Klaus ; Zander, Thorsten O. (2017-02-09)

Passive brain-computer interfacing allows computer systems direct access to aspects of their user's cognition. In essence, a computer system can gain information about its user without this user needing to explicitly communicate it. Based on this information, human-computer interaction can be made more symmetrical, solving an age-old but still fundamental problem of present-day interaction tech...

Automated labeling of movement- related cortical potentials using segmented regression

Rashid, Usman ; Niazi, Imran Khan ; Jochumsen, Mads ; Krol, Laurens R. ; Signal, Nada ; Taylor, Denise (2019-05-07)

The movement-related cortical potential (MRCP) is a brain signal related to planning and execution of motor tasks. From an MRCP, three notable features can be identified: the early Bereitschaftspotential (BP1), the late Bereitschaftspotential (BP2), and the negative peak (PN). These features have been used in past studies to quantify neurophysiological changes in response to motor training. Cur...

A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots' cognitive state

Klaproth, Oliver W. ; Halbrügge, Marc ; Krol, Laurens R. ; Vernaleken, Christoph ; Zander, Thorsten O. ; Russwinkel, Nele (2020-07-14)

A model‐based approach for cognitive assistance is proposed to keep track of pilots' changing demands in dynamic situations. Based on model‐tracing with flight deck interactions and EEG recordings, the model is able to represent individual pilots' behavior in response to flight deck alerts. As a first application of the concept, an ACT‐R cognitive model is created using data from an empirical f...

Hybrid brain-computer interface with motor imagery and error-related brain activity

Mousavi, Mahta ; Krol, Laurens R. ; De Sa, Virginia (2020-10-21)

Objective. Brain-computer interface (BCI) systems read and interpret brain activity directly from the brain. They can provide a means of communication or locomotion for patients suffering from neurodegenerative diseases or stroke. However, non-stationarity of brain activity limits the reliable transfer of the algorithms that were trained during a calibration session to real-time BCI control. On...

Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity

Zander, Thorsten O. ; Krol, Laurens R. ; Birbaumer, Niels P. ; Gramann, Klaus (2016-12-12)

The effectiveness of today’s human–machine interaction is limited by a communication bottleneck as operators are required to translate high-level concepts into a machine-mandated sequence of instructions. In contrast, we demonstrate effective, goal-oriented control of a computer system without any form of explicit communication from the human operator. Instead, the system generated the necessar...

Towards classifier visualisation in 3D source space

Krol, Laurens R. ; Mousavi, Mahta ; De Sa, Virginia ; Zander, Thorsten O. (2019-01-17)

In the context of brain-computer interfacing, it is important to investigate what regions of the brain a classifier focuses on. For one, this will clarify to what extent the classifier relies on brain activity, as opposed to undesirable non-cortical signals. More generally, the practice is informative as it allows conclusions to be drawn about the cortical regions-and thus, cortical functions-t...

SEREEGA: Simulating event-related EEG activity

Krol, Laurens R. ; Pawlitzki, Juliane ; Lotte, Fabien ; Gramann, Klaus ; Zander, Thorsten O. (2018-08-14)

Background Electroencephalography (EEG) is a popular method to monitor brain activity, but it is difficult to evaluate EEG-based analysis methods because no ground-truth brain activity is available for comparison. Therefore, in order to test and evaluate such methods, researchers often use simulated EEG data instead of actual EEG recordings. Simulated data can be used, among other things, to a...

Cognitive and affective probing: a tutorial and review of active learning for neuroadaptive technology

Krol, Laurens R. ; Haselager, Pim ; Zander, Thorsten O. (2020-01-31)

Objective. The interpretation of neurophysiological measurements has a decades-long history, culminating in current real-time brain-computer interfacing (BCI) applications for both patient and healthy populations. Over the course of this history, one focus has been on the investigation of cortical responses to specific stimuli. Such responses can be informative with respect to the human user's ...

Passive brain–computer interfaces

Krol, Laurens R. ; Andreessen, Lena M. ; Zander, Thorsten O. (2018-01-26)

Passive brain–computer interfaces (passive BCI; pBCI) have been introduced and formally defined almost a decade ago and have gained considerable attention since then. In this chapter, we clarify some points of confusion and provide a perspective on the past, present, and future of the field of passive BCI. This perspective concerns a key aspect with regard to which various pBCI-based systems di...

Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments

Klug, Marius ; Gramann, Klaus (2020-10-15)

Recent developments in EEG hardware and analyses approaches allow for recordings in both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings are contaminated with noise that has to be removed before the data can be functionally interpreted. Independent component analysis (ICA) is a commonly used tool to remove artifacts such as eye movement, muscle activity,...

Differences in Encoding Strategy as a Potential Explanation for Age-Related Decline in Place Recognition Ability

Hilton, Christopher ; Muffato, Veronica ; Slattery, Timothy J. ; Miellet, Sebastien ; Wiener, Jan (2020-09-10)

The ability to recognise places is known to deteriorate with advancing age. In this study, we investigated the contribution of age-related changes in spatial encoding strategies to declining place recognition ability. We recorded eye movements while younger and older adults completed a place recognition task first described by Muffato et al. (2019). Participants first learned places, which were...

Neuroadaptive technology: concepts, tools, and validations

Krol, Laurens R. (2020)

This dissertation presents conceptual, methodological, and experimental advances in the field of neuroadaptive technology. Neuroadaptive technology refers to the category of technology that uses implicit input obtained from brain activity in order to adapt itself, e.g. to enable implicit interaction. Implicit input refers to any input obtained by a receiver that was not intended as such by the ...

Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach

Gerjets, Peter ; Walter, Carina ; Rosenstiel, Wolfgang ; Bogdan, Martin ; Zander, Thorsten O. (2014-12-09)

According to Cognitive Load Theory (CLT), one of the crucial factors for successful learning is the type and amount of working-memory load (WML) learners experience while studying instructional materials. Optimal learning conditions are characterized by providing challenges for learners without inducing cognitive over- or underload. Thus, presenting instruction in a way that WML is constantly h...

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics

Banaei, Maryam ; Hatami, Javad ; Yazdanfar, Abbas ; Gramann, Klaus (2017-09-27)

Neuroarchitecture uses neuroscientific tools to better understand architectural design and its impact on human perception and subjective experience. The form or shape of the built environment is fundamental to architectural design, but not many studies have shown the impact of different forms on the inhabitants’ emotions. This study investigated the neurophysiological correlates of different in...

Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving

Zander, Thorsten O. ; Andreessen, Lena M. ; Berg, Angela ; Bleuel, Maurice ; Pawlitzki, Juliane ; Zawallich, Lars ; Krol, Laurens R. ; Gramann, Klaus (2017-02-28)

We tested the applicability and signal quality of a 16 channel dry electroencephalography (EEG) system in a laboratory environment and in a car under controlled, realistic conditions. The aim of our investigation was an estimation how well a passive Brain-Computer Interface (pBCI) can work in an autonomous driving scenario. The evaluation considered speed and accuracy of self-applicability by a...