Studien- und Abschlussarbeiten

Die Mitarbeitenden des Instituts für Mensch-Maschine-Kommunikation suchen laufend Studierende für die Bearbeitung von Bachelor- und Masterarbeiten. Hierbei decken die Themen das gesamte Spektrum der derzeit bearbeiteten Forschungsbereiche ab. Aufgrund der ständig wechselnden Themenvorschläge und Aufgabenstellungen durch die Betreuenden erfolgt an dieser Stelle nur die Auflistung einer Auswahl von Einzelthemen für studentische Arbeiten. Wenn Sie an der generellen Thematik interessiert sind, aber nicht genau die Ausschreibung Ihrer Wahl finden, setzen Sie sich trotzdem gerne mit uns in Verbindung, um mögliche Aufgabenstellungen zu besprechen.


Abschlussarbeiten am Institut für Mensch-Maschine-Kommunikation

Abhängig von Ihrer Präferenz können die Abschlussarbeiten in Englisch oder Deutsch verfasst werden.

  • Individual Topics

    Bachelor/Master Thesis

    We are looking for passionate students that would like to work on our future research projects. Depending on your skills and plans for the future, we will look together for a topic in our research areas that suits you best. In your thesis you will get in touch with emerging topics with a focus on HCI. At the beginning we would like to encourage you to contact the team member whose topics interest you the most. We will then talk about future opportunities via video chat. 

    Wir sind auf der Suche nach Studierenden, die gerne an unseren zukünftigen Forschungsprojekten arbeiten möchten. Je nach Ihren Fähigkeiten und Zukunftsplänen suchen wir gemeinsam ein Thema in unseren Forschungsbereichen, das am besten zu Ihnen passt. In Ihrer Abschlussarbeit werden Sie mit aufkommenden Themen in Berührung kommen mit einem Fokus auf HCI. Zu Beginn möchten wir Sie ermutigen, mit dem Mitarbeiter Kontakt aufzunehmen für dessen Themen sie sich am meisten interessieren. Wir werden dann über zukünftige Möglichkeiten per Video-Chat sprechen.


  • Supporting Accessibility Assessments of Web UIs through the Simulation of Perceptual Impairments

    This thesis is concerned with the development and evaluation of methods for assessing the accessibility of content developed for the web. While technical standards and guidelines towards enabling the development of accessible web content have existed for some time, research into tools that provide an insight into the fulfillment of said guidelines is still ongoing. Two examples for such tools are WAVE and TAW. Yet these tools can only give informal feedback and therefore may lead to wrong conclusions about how issues should be remedied. Additionally, in recent years additional challenges have started to be discussed, such as the problem of seizure inducing animations, which extend the problem space.

    In a novel approach the limitations affecting accessibility are to be made tangible for able-bodied people in order for them to gain deeper insight into perception of their content under different constraints. This is to be done through what is essentially a simulation of the perception of web content under different disabilites. By developing the tool as a browser extension, regular interaction with web content can still be provided. The theory hereby is that, through experiencing possible problems firsthand, developers can immediately spot and prioritize and fix accessibility issues themselves. Through a user study the developed system is to be evaluated regarding its effectiveness when compared to informal approaches such as WAVE or TAW.

    Master Thesis Aymen MaamriJan WolffNovember 2021
  • Design and Evaluation of a Content-Aware Visualization of Twitter Conversations

    In previous work we’ve evaluated methods to qualify and cluster Twitter profiles using the platform’s social graph as a basis. While yielding favorable initial results, this technique is only able to perform a very broad classification. This is attributed to the fact that several other factors need to be taken into account when categorizing online profiles. Furthermore, the approach requires expensive pre-processing and is therefore unsuitable in applications that involve live data. In this work you will be given an extensive database of Twitter profiles and tweets, with the aim to incorporate a more extensive chunk of the data into the clustering approach. Through the application of machine learning, the required time of classifying unknown profiles can be significantly reduced once a model is trained for the task.

    As this approach has the potential to enable usage of information in real-time, a separate demonstrator application is to be developed to make use of this ability. The application’s aim is to give a live overview of Twitter postings in regards to their corresponding communities. For this, Twitter’s filtered or sampled stream APIs may be used in combination with the developed classifier to provide live data. Through an auxiliary user study the effect of this visualization method on the perception of content can be compared to that of a regular time-sorted list.

    Master Thesis Michael BenzJan WolffOctober 2021
  • Design and Implementation of a One-Handed Smartwatch Interaction for fast Responses via EMG

    Smartwatches use a small touch display to convey information to the user, e.g. notifications. To interact with a smartwatch mostly the touch screen is used. Other works focus on enhancing the interaction by gesture input based on the integrated acceleration sensor or adding other input sensors to the smartwatch as, e.g. a microphone, camera, distance sensors, etc. In this thesis the focus is on using an existing EMG wristband prototyp to recognize hand gestures and using these gestures to enable an same side one-handed interaction with the smartwatch for fast responses.

    The thesis should first focus on situations and task, in which a short reaction with less information is sufficient. E.g. getting a notification for a meeting an just acknowleding it by a meaningful gesture. A concept and a mapping of gesture to reaction should be created. One application scenario should be evaluated with the EMG based interaction in a user study to may answer the following questions:

    • Is the created mapping meaningful/natural?
    • Is the interaction less straining or faster than the interaction via the other hand on the touch display?


    For that purpose an Android Smartwatch application has to be created for the smartwatch and a Smartphone. Recording and classifying EMG hand gestures with machine learning methods are also part of this thesis.



    Bachelor Thesis Nick Janßen Tim DünteJune 2021
  • Design and Evaluation of Haptic Mouse Feedback for One-Dimensional Input using EMS

    This thesis should investigate the opportunities of using electrical muscle stimulation (EMS) for providing haptic feedback for desktop mouse interactions. EMS ist able to provide strong haptic feedback in mobile contexts. We want to investigate the usage in a desktop environment. Possible application scenarios for providing haptic feedback in an desktop environment could be, e.g. supporting of snapping, using the haptic channel when navigating with the mouse over the desktop, e.g. augmenting window borders, so that a user can feel them when he travels from window to another or gaming applications. The feedback is limited to one dimensional feedback in this thesis to reduce the complexity. The thesis should find application scenarios that benefit from the haptic mouse feedback and should also evaluate one scenarion in a user study.



    Bachelor Thesis Julian SchmuhlTim DünteJune 2021
  • Design and Evaluation of a Wrist-Band Prototype for Hand Gesture Recognition via Electromyography

    This thesis is about the evaluation and the refinement of a prototype for the measurement of EMG signals on the forearm. The prototype differs from commercially available devices like the MYO armband in the fact, that it has only one EMG sensor instead of eight sensors but also eight electrode pairs. This setup brings therefore some limitations, e.g. measuring all eight electrodes with one sensor needs 40ms resulting in a frequency of 20Hz. The question is, if these limitations result in a lower recognition accuracy of gestures. By further improving the prototype, it should be able to use 16 electrode pairs. The amount of needed EMG sensors for the future prototype should be evaluated in this work to guarantee a good hand gesture recognition.



    Master Thesis Miena Basta BadresTim DünteDecember 2020


Abgeschlossene Abschlussarbeiten


Im Wiki bzw. auf dem git-Server finden Sie die Seite des Bachelor-Master-Kolloquiums, Hinweise zum wissenschaftlichen Arbeiten sowie Formatvorlagen in Word und LaTeX. Die Formatvorlagen enthalten ein Muster der Selbstständigkeitserklärung und Hinweise zum Aufbau der Arbeit. Das Bachelor-Master-Kolloquiums findet alle 14 Tage Mittwochs um 15:00 Uhr statt.


Prof. Dr. Michael Rohs
Professorinnen und Professoren
Prof. Dr. Michael Rohs
Professorinnen und Professoren