Hier finden Sie die Richtlinien für Masterarbeiten an unserem Fachgebiet.
Durchführung einer Machbarkeitsstudie mit älteren Menschen mit unterschiedlich starker Hörschädigung mit Fokus auf die Umsetzbarkeit und den Trainingserfolg der gewählten Doppelaufgaben.
Dazu gehören auch die Akquise und Befragung der Teilnehmenden, sowie die Auswertung der Ergebnisse. (zum Flyer)
Unterstützung bei der Durchführung einer großen neurowissenschaftlichen und biomechanischen Studie mit älteren gesunden und hörgeschädigten Menschen in Berlin.
Analysiert wird nur ein Teil der Daten, z.B. mit Fokus auf Einfluss der Lateralisierung oder der Modalität (auditiv vs. visuell) auf die Doppelaufgabenkosten. (zum Flyer)
Evaluation der Eignung eines neuen Therapie- und Trainingskonzepts durch einen Delphi-Prozess mit mehreren Expert*innen.
Dazu gehören die Akquise und Befragung, sowie das Analysieren der Ergebnisse und schriftliche Ausarbeiten der Erkenntnisse. (zum Flyer)
Bei Interesse bitte wenden an: Anna Wunderlich
In der Masterarbeit geht es um die Erhebung und Auswertung von EKG Daten an Probanden, die sich auf definierten Wegen durch die Stadt und den öffentlichen Raum bewegen. Es sollen EKG-Messung und Auswertung von Daten unterstützt werden. Die Daten werden in MATLAB oder Phyton-basierten Toolboxen ausgewertet.
Supervision: Kerstin Eisenhut, Prof. Dr. Klaus Gramann, Working Language English/Deutsch
The master thesis aims at investigating the quality of electrocardiography (ECG) data in actively moving participants recorded with a mobile, low-cost Arduino device. The student is required to record ECG in stationary and mobile conditions in a population of approximately 20 participants. The data will be analyzed and compared defining quality measures. Analytical skills are favorable. Programming in MATLAB.
Supervision: Prof. Dr. Klaus Gramann, Working Language English/Deutsch
In our daily activities, walking while solving additional tasks challenge our limited resources and result in Cognitive‐Motor Interference (CMI). A number of previous neurophysiological investigations on CMI employed desktops and treadmills, thus restricting human natural behavior. For the present master thesis, as a more ecologically valid alternative to investigate CMI, a dual‐task walking scenario involving free overground walking and an immersive visual task was developed in Virtual Reality (VR) and combined with Mobile Brain/Body Imaging (MoBI). Results shed light on brain dynamics associated with CMI in an unrestricted but still controlled experiment, opening new possibilities for neural investigations on cognition and motion.
Supervision: Federica Nenna, Working Language English
In this project we will study the influence of different sound types on the temporal perception of these sounds. Do reverberation and echo modulations induce the impression of a larger room size and thereby influence the perceived duration? We will employ psychophysical methods and audio software to create and modify auditory stimuli (e.g., Audacity, GarageBand).
Supervision: Dr. Martin Riemer, Working Language English
Estimates of traveled distance are influenced by travel time. In this project we will investigate whether this influence is mediated by the perception of movement speed. We will use a virtual reality setup to present forward movements of variable distances and durations, and ask our subjects for distance estimates. For data analysis, we will employ psychophysical methods.
Supervision: Dr. Martin Riemer, Working Language English
Cellphones started out as mere mobile telephones used primarily for making voice calls, but over the last decades they have become powerful computing devices capable of assisting a wide range of human behaviors and activities. This masters thesis is a theoretical literature review with the goal of identifying factors contributing to the discovery/invention of new affordances in cellphone use. Special attention will be given to innovation and the emergence of novel uses in different cultural contexts.
Supervision: Dr. Gui Sanches Sanchez, Working Language English
Reading comprehension is a psychological phenomenon of central importance for human factors, with implications for the design of information displays and user experience, for workplace safety and interaction with warning information and instructions in manuals, and in human-computer interaction more generally. Previous research has found a number of physiological markers associated with reading comprehension, from patterns in heart rate and eye movement to patterns in neural activity. This masters thesis is a literature review aimed at identifying the state of the art in applications of nonlinear methods (especially DFA and RQA) to the analysis of these physiological measures of reading comprehension, with special focus on the effect of text difficulty and expertise on comprehension.
Supervision: Dr. Gui Sanches Sanchez, Working Language English
In recent years a lot of research has been done applying nonlinear methods to investigate complex dynamics (e.g., fractality and recurrence) at the behavioral and neural levels. But most of this work focuses on data obtained from human activity from a single observation, at a single point in time. This masters thesis is a methodological literature review with the goal of identifying the state of the art in research focusing on nonlinear behavioral and neural dynamics coming from multiple observations of the same subjects over time (i.e., repeated-measures, longitudinal studies). The results should be considered with respect to how nonlinear methods could be applied to neural data for the assessment of user state in interaction with technical systems.
Supervision: Dr. Gui Sanches Sanchez, Working Language English