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Guidelines for our theses

Here you will find the guidelines for our theses.


New Theses:

  • Influence of different navigation instructions on a drivers’ gaze behavior during navigation through a virtual city (Please contact: Anna Wunderlich)

  • Mobile Elektrokardiographie im Neurourbanismus

    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

  • Validation of a mobile wireless ECG system
    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

  • Alteration of brain dynamics during dual‐task overground walking
    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

  • Time-space interferences in the auditory domain
    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

  • Effects of time and speed on perceived distance
    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

  • The Affordances of Cellphones
    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

  • The Embodied Dynamics of Reading Comprehension
    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

  • Complex Behavioral and Neural Dynamics Over Time
    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 

Current Theses:

  • Xiaoyu Hu, Human Factors; title is work in progress
  • Max Neufeld; title is work in progress

Completed Theses (BA/MA):

  • Yiru Chen; title is work in progress
  • Lea Rabe, Human Factors: Investigating early and late fixation-related potentials in association with situation awareness in a dynamic, interactive virtual reality experiment
  • Florian Grieb, Human Factors; title is work in progress
  • Rebecca Prell, Human Factors: Über die Assoziation der Herzratenvariabilität mit der Risikobereitschaft und Resilienz bei Feuerwehrleuten in einer simulierten Brandbekämpfung - Ein Beitrag zur Psychokardiologie (2019)

  • Silvia Pelucchi: Fantastic workload and where to find it: Investigation of the neural correlates of workload in a Situation Awareness paradigm using a mobile Brain/Body Imaging approach

  • Marie Mückstein, Human Factors; Titel wird nachgereicht

  • Maike Fischer, Human Factors: Neuronale Korrelate realer Navigation mit Assistenzsystem - eine mobile EEG-Studie (2019)

  • Lisa Zick, Human Factors: Untersuchung neuronaler Aktivität kortikaler Quellen als Indikator für räumliches Lernen durch landmarkenspezifische Navigationsanweisungen (2019)

  • Sezen Akman: Electrocortical correlates of prediction errors during interaction with virtual objects in virtual environments – an objective metric for the impact of an additional sensory feedback on the sense of presence (2019)

  • Erez Hod, Human Factors: Using Mobile EEG to Investigate Dual-Task Costs During Walking in the Real World (2019)

  • Christopher Hahn, Human Factors: Inzidentelles räumliches Lernen durch landmarkenspezifische Navigationsansagen

  • Kerstin Pieper, Human Factors: Investigating Prefrontal Theta Modulation as a Parameter for Spatial Learning in Pedestrians (2018)

  • Anja Marckwardt, Human Factors: Der Einfluss modifizierter Navigationsinstruktionen auf das späte evozierte Potential bei der Wiedererkennung von Landmarken (2018)

  • André Brandewiede, Human Factors: Untersuchung des Einflusses modifizierter Navigationsinstruktionen auf die frühen Komponenten des ereigniskorrelierten Potentials bei der Wiedererkennung von Landmarken (2018)

  • Jonas Röttger, Human Factors

  • Jan Richter: Konstruktion eines Prüfstandes zur Bestimmung der Motion-to-Photon Latenz von Virtual Reality Systemen

  • Charlotte Burmeister: Evaluation of Movement Onset Detection Algorithms
  • Assiel Afram - The Role of Reference Frame Proclivity and Sex in Mental Rotation

  • Rojin Cengiz - Die P300 bei der Interaktion mit bewegten Objekten

  • Markus Fleck, Human Factors: Entwicklung und Evaluation einer MoBI- Softwareplattform für VR und Motion Capturing (2016)

  • Lukas Gehrke, Human Factors: Brain dynamics underlying physical vs. optical flow rotation (2015)

  • Jan Jalali - Wie wird Hirnaktivität durch aktives Verhalten beeinflusst? – Eine EEG-Studie

  • Sabine Grieger, Human Factors: Inzidentelles Lernen räumlicher Informationen mittels modifizierter Navigationsinstruktoren (2016)

  • Paul Hoepner, Human Factors: Implizites Training räumlich-kognitiver Fertigkeiten anhand lernorientierter Navigationshilfen (2015)

  • Sven Wehrend, Computer Engineering: Piloting of a situational awareness framework and adaption of an EEG-processing pipeline

  • Richard Wenzel; Prototypical Design And Evaluation Of A Wearable VR-EEG (Electroencephalographic) Headset (link)

  • Stephan Weisskircher, Human Factors: Untersuchung elektrokortikaler Aktivität bei Darbietung von Ultraschall (2015)

  • Anna Wunderlich, Human Factors: EEG-Based Analysis of Incidental Spatial Learning Through Modified Navigation Instructions (2016)

  • Xiao Zhang - IC-based EEG analysis of a perspective taking task

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