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Offene Abschlussarbeiten

Im Folgenden finden Sie offene Themen für Abschlussarbeiten. Die Themen sind jeweils grob formuliert und bieten Spielraum für verschiedene Ausrichtungen innerhalb dieser Themenbereiche. Wenn Ihnen ein Thema gefällt, kontaktieren Sie bitte den entsprechenden Ansprechpartner. Bei allgemeinen Anfragen wenden Sie sich bitte an Marion Koelle (marion.koelle(at)uol.de).

Touch-free interaction methods for alarm distribution systems

Summary: People working in safety critical environments are surrounded by alarms which indicate that relevant values are exceeding critical thresholds. One example for such an environment is an intensive care unit (ICU).

To address that issue, there are already approaches for a personal alarm distribution. However, an ICU is an environment where patients are recovering from a severe operation or sicknesses, so there is a need for a touch-free interaction with such a system to avoid spreading bacteria. 

In this project, you need to investigate feasible interaction paradigms to communicate with an alarm distribution system.

Contact: Vanessa Cobus (vanessa.cobus@offis.de)

 

Augmenting data glasses with multimodal alarms

Summary: A promising approach to reduce alarms on ICUs, is a multimodal alerting. With on-body alarms, the noise pollution could be lowered. 

However, in ICUs, each alarm needs to be evaluated regarding its urgency. Since this information is only visible on patient monitors, nurses have to interrupt their current task to look on the display and decide whether they completely interrupt their task or not. This step could be skipped by equipping nurses with data glasses. In this project, you need to investigate the feasibility of multimodal alarms on AR/data glasses.

Contact: Vanessa Cobus (vanessa.cobus@offis.de)

Attention Guidance to Information Displays through Adaptive Salience

Summary: In this Bachelor or Master Thesis you will design, develop and evaluate a system to guide the attention of a user to a specific information display in a large monitoring environment, such as a control room or a ship bridge. The target display should be highlighted by increasing its salience and/or decreasing the salience of others (e.g. manipulating illumination intensity, color, orientation, motion). Depending on your experience and interest, the system can be either implemented using an augmented reality (AR) video-see-through head-mounted device (Google Cardboard), or with a monitor setup and a body-worn camera. For a Bachelor Thesis the complexity of the topic will be reduced regarding the lower experience and the shorter time frame.

The core parts of the research project are: 

  • systematically derive system design 
  • implement system 
  • evaluate system in user study

Prerequisites: Programming skills, image processing basics (OpenCV), basic statistics 

Working language: German or English 

Contact: Tim Claudius Stratmann (tim.claudius.stratmann@uol.de)

Detection of Radar Image Interpretation on Basis of Eyetracking Data

Summary: In this Bachelor or Master Thesis you will derive a predictive model to detect if an radar image is being interpreted by a human operator based on eyetracking data. This is helpful for attention guidance systems based on gaze direction, as it answers the question of whether the operator not only looked at, but also retrieved information from a radar display with given certainty. The data collection is part of this Bachelor or Master Thesis, we have contacts and will assist in finding dates with nautical students and experts for a user study in which we will collect the necessary data. For a Bachelor Thesis the complexity of the topic will be reduced regarding the lower experience and the shorter time frame.

The core parts of the research project are:  

  • identify areas of interest (AOI) in radar image 
  • setup eyetracking on radar simulator (basic programming for AOI logging)
  • collect data in user study (with nautical students and experts) 
  • create predictive binary classification model (e.g. using logistic regression)

Prerequisites: Programming skills, basic statistics

Working language: German or English 

Contact: Tim Claudius Stratmann (tim.claudius.stratmann@uol.de)

Nutzung des tiptoi-Audio-Stiftes in Fotobüchern

Im Rahmen dieser Bachelor-Arbeit soll untersucht werden, inwieweit der tiptoi-Audio-Stift im Umfeld von CEWE-Fotobüchern eingesetzt werden kann. Es sollen Nutzungsszenarien erarbeitet, Umfragen durchgeführt sowie Software-Werkzeuge entwickelt und evaluiert werden.

 

Kontakt: Dietrich Boles (dietrich.boles[at]uni-oldenburg.de)

 

Designing and evaluating an HMI for assisting the Ship Bridge crew in canal passage

Summary: Mariners make use of complex ship bridge systems to gather information elements and look for cues in the environment outside of the bridge to complete a navigation task. Designers are asked to develop assistance systems that reduce the cognitive load of the crew and allow efficient task execution. Research on new systems development in the maritime domain is focused on navigation tasks in internal waters, such as canal passage, to decrease the risk for incidents and accidents. The thesis will explore a Goal Based design of an HMI for ship bridges, where a combination of an FCM modelling approach and an HMI design method will be applied.

The core parts of the research project are: 

  • Systematically derive the HMI design with the combination of the methods (FCM modelling, HMI design method ‘Konect’)
  • Implement an HMI design
  • Evaluate the HMI (inkl. cognitive effort, correctness of perception) 

Prerequisites: Java, interested in prototyping, basic statistics 

Offered: Real time experiments in ship bridge simulators 

Working language: English (preferred) or German 

Contact: Marie-Christin Ostendorp (Ostendorp [at] offis.de), Stella Parisi (parisi [at] offis.de)

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