Offene Themen für Projekt- und Diplomarbeiten

Students interested in topics related to usable security and privacy have the opportunity to do their master theses / bachelor theses / practical research project (Einzelpraktikum) at the CODE Research Institute for Cyber Defense (University of the Bundeswehr, Munich). More information on the research group on Usable Security and Privacy Group can be found on our website.

We offer a large variety of topics, including but not limited to:

• Tangible Security/Privacy Mechanisms (Contact: Sarah Delgado)
• Human Behavior and Physiology in Security Contexts (Contact: Felix Dietz)
• Social Engineering and Phishing (Contact: Verena Distler)
• Behavioral Biometrics (Contact: Lukas Mecke)
• Usable Security in Smart Homes (Contact: Sarah Prange)
• Novel Security Mechanisms based on Gaze (Contact: Yasmeen Abdrabou)
• Physiologicacl Security (Contact: Mariam Hassib)
• Security and Privacy in Augmented Reality (Contact: oliver.hein ät unibw.de)

If you are interested in working with us, please get in touch with the respective contact person.

[Updated 23.12.2022] In this Master Thesis you will develop novel solutions to make use of unstructured UI tree data yielded form Android Smartphones. Such data could be used in future adaptive systems to learn what the user is aiming for, to make more accurate and concrete predictions. Privacy is also a central aspect in this topic.Please check the PDF announcement on my webspace: Master Thesis: Deep Activity Tracking on Android Smartphones
23.12.2022

In this thesis you bring machine learning to end users. In a mobile application or game, you allow users to train models on their data. Aims can be education, rasising resistance against manipulative targeted content, or creating the user a benefit in a quantified-self application.Please check the PDF announcement on my webspace: InteractiveML2023.pdf
25.12.2022

Description

Electrodermal activity (EDA) denotes the measurement of continuous changes in the electrical conductance properties of the skin in response to sweat secretion by the sweat glands. EDA is autonomously modulated by sympathetic nervous system (SNS) activity, a component of the autonomic nervous system (ANS), which is involved in the control of involuntary bodily functions as well as cognitive and emotional states. Specifically, phasic EDA activity correlated with stress, cognitive load, and attention orienting. Therefore, measuring phasic EDA responses can give us information about the user's state.In this thesis project, we want to develop an adaptive system that modifies the visual complexity of the VR environment based on changes in phasic EDA. Specifically, we want to use new signal processing methodologies termed adaptive thresholding and gaussian filtering.The research consists of three main stages: (1) validation of the psychophysiological inference underpinning the adaptive system (2) implementation of a working VR prototype, and (3) an evaluation of the adaptive environment.

You will

• Perform a literature review
• Modify an existing VR environment
• Implement an preprocessing pipeline for phasic EDA detection
• Collect and analyze electroencephalographic (EEG), electrodermal activity (EDA) and electrocardiography (ECG) data
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need

• Strong communication skills in English
• Good knowledge of Unity
• Good knowledge of Python libraries for scientific computing (e.g. Scipy, MNE).

References

• Fairclough, S. H. (2009). Fundamentals of physiological computing. Interacting with computers, 21(1-2), 133-145.
• Chiossi, F., Welsch, R., Villa, S., Chuang, L., & Mayer, S. (2022). Virtual Reality Adaptation Using Electrodermal Activity to Support the User Experience. Big Data and Cognitive Computing, 6(2), 55.
• Babaei, E., Tag, B., Dingler, T., & Velloso, E. (2021, May). A critique of electrodermal activity practices at chi. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-14).
• Kleckner, I., Wormwood, J. B., Jones, R. M., Siegel, E., Culakova, E., Heathers, J., ... & Goodwin, M. (2021). Adaptive thresholding increases ability to detect changes in rate of skin conductance responses to psychologically arousing stimuli.

Description

Mixed reality (MR) systems refer to the entire broad spectrum that ranges from physical to virtual reality (VR). It includes instances that overlay virtual content on physical information, i.e., Augmented Reality (AR), and those that rely on physical content to increase the realism of virtual environments, i.e., Augmented Virtuality (AV). Such instances tend to be pre-defined for the blend of physical and virtual content. To what extent can MR systems rely on physiological inputs to infer user state and expectations and, in doing, adapt their visualization in response? Measurement sensors for eye and body motion, autonomic arousal (e.g., respiration, electrodermaland heart activity), and cortical activity (e.g., EEG, fNIRS) are widely used in psychological and neuroscience research to infer hidden user states, such as stress, overt/covert attention, working memory load, etc.However, it is unclear if such inferences can serve as useful real-time inputs in controlling the presentation parameters of MR environments.In this thesis project, we will investigate whether this blend can be adaptive to user states, which are inferred from physiological measurements derived from gaze behavior, peripheral physiology (e.g.., electrodermal activity (EDA); electrocardiography (ECG)), and cortical activity (i.e.., electroencephalography (EEG)). In other words, we will investigate the viability and usefulness of MR use scenarios that vary in their blend of virtual and physicalcontent according to user physiology. In particular, we will focus on understanding how physiological readings can passively determine the appropriate amount ofvisual information to present within an MR system.

You will

• Perform a literature review
• Modify an MR environment
• Adapt existing processing pipeline for EEG and EDA data
• Collect and analyze electroencephalographic (EEG), electrodermal activity (EDA), and electrocardiography (ECG) data
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need

• Strong communication skills in English
• Good knowledge of Unity
• Good knowledge of Python libraries for scientific computing (e.g. Scipy, Neurokit)

References

• Lotte, F., Faller, J., Guger, C., Renard, Y., Pfurtscheller, G., Lecuyer, A., & Leeb, R. (2012). Combining BCI with virtual reality: towards new applications and improved BCI. In Towards practical brain-computer interfaces (pp. 197-220). Springer, Berlin, Heidelberg.
• McGill, M., Boland, D., Murray-Smith, R., & Brewster, S. (2015, April). A dose of reality: Overcoming usability challenges in vr head-mounted displays. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2143-2152).
• Fairclough, S. H. (2009). Fundamentals of physiological computing. Interacting with computers, 21(1-2), 133-145.

Description

Biocybernetic adaptation is a form of physiological computing where real-time physiological data from the brain and the body can be used as an input to adapt the user interface. In this way, from the physiological data, we can infer the user’s state and design implicit interactions in VR to change the scene to support certain goals. This thesis aims the develop and evaluate an adaptive VR environment designed to maximize users' performance by exploiting changes in real-time electroencephalography (EEG) to adjust the level of visual complexity. The research consists of three main stages: (1) validation of the input EEG measures underpinning the loop; (2) implementation of a working VR prototype; and (3) an evaluation of the adaptive environment. Specifically, we aim to demonstrate the sensitivity of EEG power in the (frontal) theta and (parietal) alpha bands to adapt levels of visual complexity.

You will

• Perform a literature review
• Modify an existing VR environment
• Implement an online biocybernetic loop using EEG
• Collect and analyze EEG, EDA, and ECG data
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need

• Strong communication skills in English
• Good knowledge of Unity and/or C#
• Good knowledge of Python libraries for scientific computing (e.g. Scipy, MNE).

References

• Biocybernetics Loops and Physiological Computing
• Development of an Adaptive Game using EEG frequencies

Description

Research from cognitive science and computerized displays of simple stimuli has shown how perceptual load is a critical factor for modulating distraction. Perceptual load is the amount of information involved in processing task stimuli. According to Lavie (1995), our attentional resources are limited and mainly directed towards task-relevant goals, but we might be more prone to distractors if we have cognitive spare resources. Previous research showed that human faces have bigger distracting power than non-face objects. This project aims to assess the distracting potential distracting effect of human avatars in a social VR scenario. We aim to transfer of traditional paradigms that assess attention and distraction to immersive VR. Lastly, we adapt the target-distractor recognizability to evaluate if a physiologically-adaptive system that optimizes for perceptual load can support task performance. The research consists of three main stages: (1) validation of the psychophysiological inference underpinning the physiological loop (2) implementation of a working VR prototype, and (3) an evaluation of the adaptive environment.

You will

• Perform a literature review
• Modify an existing VR environment
• Implement an online biocybernetic loop using EEG and/or EDA
• Collect and analyze electroencephalography (EEG), electrodermal activity (EDA), and electrocardiography (ECG) data
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need

• Strong communication skills in English
• Good knowledge of Unity and/or C#
• Good knowledge of Python libraries for scientific computing (e.g. Scipy, Neurokit, MNE).

References

• Perceptual Load of faces
• Perceptual load and task engagement
• Evaluating perceptual load in VR

Description

Physiological computing is a multidisciplinary research field in HCI wherein the interaction depends on measuring and responding to the user's physiological activity in real-time (Fairclough, 2009). Physiological computing allows for implicit interaction; by monitoring the physiological signals of the user, the computer can infer, e.g., if the task demands are either too challenging or easy, and either adapt the difficulty level or when users are getting distracted from the task, the system could give them a notification. Measuring the psychological state of the user creates intriguing possibilities for Social VR scenarios as we can either adapt the number of displayed avatars, their form or even their proxemic distance. This thesis aims the develop an adaptive Social VR environment designed to support users' performance when engaged in a cognitive task using a measure of physiological state (electrodermal activity: EDA) as input for adaptation. The research consists of three main stages: (1) validation of the psychophysiological inference underpinning the physiological loop (2) implementation of a working VR prototype, and (3) an evaluation of the adaptive environment.

You will

• Perform a literature review
• Modify an existing VR environment
• Implement an online biocybernetic loop using EDA
• Collect and analyze EEG, electrodermal activity (EDA) and electrocardiography (ECG) data
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need

• Strong communication skills in English
• Good knowledge of Unity
• Good knowledge of Python libraries for scientific computing (e.g. Scipy, Neurokit).

References

• Biocybernetics Loops and Physiological Computing
• Adapting task complexity of a Social VR environment based on skin conductance

Imagine Bob's office is connected via a (quantum-)encrypted connection to a server. How could Bob access this server from his home office if he does not have the necessary hardware at home? Well, he could get keys in his office and save them on his personal key-safe token. He could subsequently use the token at home and connect to the server.

The topic of offline distribution of cryptographic keys is interesting for researchers and practitioners alike, even outside the QKD context. Hence, exemplary open questions include: Which use cases for offline key distribution exist? How could the key-safe token look like (design, usability and security)? Is there a possibility to detect unauthorized access to the token?

Description

This projects purpose is to investigate in building a full body tracking system based on self-made trackers which are usable by the HTC VIVE and its Lighthouses. We want to compare the original HTC VIVE tracker with a varying amount of self-made trackers in order to use it for VR sport analysis.

Tasks

• Building a set of at least 10 tracker based on the enclosed literature
• Implementation of an application for testing purposes
• Compare the existing Tracker with the self-made tracker in terms of usability for VR sport analysis

Preferred qualification

• Experience in hardware and software prototyping
• Experience in C# programming for Unity 3D
• Interest in performing experiments
• Interest in performance enhancement in sports

Suggested Reading

• The HiveTrackers will serve as the foundation for the self-made trackers Tracker foundations
• This project can help to create suitable sensors Sensor foundations

VR offers the possibility to create own realities independent from the physical reality. Immersed in VR, users can explore and interact with their virtual surroundings. In this work, you will explore how to comprehensibly display user triggered changes, movement patterns and interactions in a shared spatial VR across time and space. It will be your task to implement different layers of information for a VR scene before developing a menu in which users can alter the displayed information linked to prior users‘ activities. You will deal with the time and scalability dimensions of such traces and explore the duration of displaying such information as well as the tracking time.

Tasks:

• Implement different information layers of traces of prior user interactions.
• Create an interaction menu in VR that allows users to alter prior user's interaction visualization.
• Test your system and concept in a user study.

Requirements:

• Experience in either VR programming (Unity), C# or 3D modeling.
• Basic knowledge of user research.

Suggested Reading:

• Vichitvejpaisal et al. "Relive History: VR time travel at the world heritage site." 2019.
• Landeck et al. "Metachron: A framework for time perception research in VR." 2020.
• Stoev et al. "Exploring the past: a toolset for visualization of historical events in virtual environments."2001.

Description

Development of a method in virtual reality to measure user behavior or user states (occupant monitoring) in the automotive domain.

Tasks

• Comprehensive survey of related work
• Define the concept
• Develop and implement your concept
• Conduct a user study to test and verify your concept
• Analysis, reflection and discussion of the outcomes

Requirements

• Independent scientific work and creative problem solving
• Able to organize and perform user studies and experiments
• Interest and experience in Software Development
• Interest in Psychology
• Experience with programming based on practical projects
• Bonus: Experience with Unreal Engine
• Bonus: Experience with Virtual Reality Development

Contact

Description

Car accidents are a significant concern, as they claim a high number of yearly fatalities. These accidents have been accounted to originate from recognition errors, including driver's inattention, internal and external distraction, and inadequate surveillance, causing decision errors. These errors can be attributed to a lack of situation awareness.Thus the development of a tool to measure people's situation awareness in VR could be very beneficial. It could be used to assess the user's situation awareness and compare different scenarios and interfaces and their respective effects.

Tasks

• Comprehensive survey of related work
• Define the concept
• Develop and implement your concept
• Conduct a user study to test and verify your concept
• Analysis, reflection and discussion of the outcomes

Requirements

• Independent scientific work and creative problem solving
• Able to organize and perform user studies and experiments
• Interest and experience in Software Development
• Interest in Psychology
• Experience with programming based on practical projects
• Bonus: Experience with Unreal Engine
• Bonus: Experience with Virtual Reality Development

Contact

Description

Smoking lead to long-term health issues, causes death and big costs in the economy and health system. Many people would like to stop smoking, but many attempts stay unsuccessful. That is why new ways of treating nicotine addiction are being sought. Virtual Reality (VR) has developed rapidly with many important technical advancements that is becoming more widely available and user-friendly. This opens new therapy possibilities.

Tasks

• Comprehensive survey of related work
• Define the concept
• Develop and implement your concept
• Conduct a user study to test and verify your concept
• Analysis, reflection and discussion of the outcomes

Requirements

• Independent scientific work and creative problem solving
• Able to organize and perform user studies and experiments
• Interest and experience in Software Development
• Interest in Psychology
• Experience with programming based on practical projects
• Bonus: Experience with Unreal Engine
• Bonus: Experience with Virtual Reality Development

Contact

Description

In this thesis project, we will investigate how an AI-system learns characteristics about the user through interaction patterns and user reactions. The final goal is a system in a specific domain, that adapts to the user based on their characteristics.

Tasks

• Comprehensive survey of related work in the research area of user profiling, interaction design and related psychology topics
• Find (based on an interesting usecase) one user characteristic, which is possible to detect based on interaction patterns or user reactions
• Develop and implement your concept
• Conduct a user study to test and verify your concept
• Analysis, reflection and discussion of the outcomes

Requirements

• Independent scientific work and creative problem solving
• Able to organize and perform user studies and experiments
• Interest and experience in Software Development
• Interest in Psychology
• Experience with programming based on practical projects

Contact

Inhalte

Das bayerische Landesforschungsinstitut fortiss und IBM werden im Rahmen des IBM fortiss Center forAI das Thema Stress-Management für sicherheitskritische Anwendungen erforschen. Dafuür wird einKonzept entwickelt, um Stress bei Einsatzkräften der Feuerwehr zu überwachen und managen. Die Ideen werden prototypisch umgesetzt und präsentiert. Die Workshops und Gespräche während desPraktika können entweder in englischer oder deutscher Sprache gehalten werden.

Bewerbung

Beschreiben Sie kurz Ihre Motivation, relevante Fachkenntnisse, beispielsweise aus früheren Kursen,Jobs und anderen Projekten, die Ihre Fähigkeiten in einem oder mehreren der folgenden Bereichedemonstrieren: Programmierung, Benutzererfahrung, Nutzerstudien, Prototyping.
Senden Sie es anyuanting.liu ät fortiss.org

After an initial induction into existing marker technologies and conducive 3D printed objects, the goal is to design and build new a machine learning (ML) pipeline to detect conductive markers. Therefore the prototyping of physical markers is required, these will be used to record capacitive tangible footprints using the screen of a large capacitive screen as ML ground truth data. Based on that a model will be trained to distinguish and classify capacitive markers on touchscreens using a new ML classifier.

You will:

• Perform a literature review
• Building capactive marker
• Recoridng data for the training
• Train a ML model using TensorFlow
• Summarize your findings in a thesis and presenting them to an audience
• (Optional) co-writing a research paper

You need:

• Strong communication skills in english
• Good knowledge of data processing
• Good knowledge of machine learning

References

• Super-Resolution Capacitive Touchscreens
• 3D Hand Pose Estimation on Conventional Capacitive Touchscreens Submission

The goal of this work is to get an overview of the vast variety of selection methods in smart environments, mixed reality, and VR. Through a literature review, the first step is to select a handful of selected methods. Therefore, in the next step, these interactions need to be implemented, to allow them to be compared in a lab study. Here, the aim is to compare these technologies with respect to measurements such as accuracy, speed, immersion, presence, and their effect on the embodiment.

You will:

• Perform a literature review
• Investigate different selection methods for VR focusing on e.g., controller vs. controller less, absolute vs. relative, feedback vs. no feedback
• Implement the study application
• Conduct the user study
• Study data analyse and propose design guidelines
• Record video up to 5min long explaining the thesis
• Summarize your findings in a thesis and presenting them to an audience
• (Optional) co-writing a research paper

You need:

• Strong communication skills in english
• Knowledge of human tracking techqniues (e.g., OptiTrack)
• Good knowledge of running studies
• Good knowledge of implementation most likely using Unity

References

• The Effect of Offset Correction and Cursor on Mid-Air Pointing in Real and Virtual Environments
• Modeling Distant Pointing for Compensating Systematic Displacements
• Up to the Finger Tip: The Effect of Avatars on Mid-Air Pointing Accuracy in Virtual Reality
• EyePointing: A Gaze-Based Selection Technique
• Improving Humans’ Ability to Interpret Deictic Gestures in Virtual Reality

This project aims to build a push-to-talk (PTT) system on top of the WebRTC API. PTT is a communication technique that allows the user to talk to others through a microphone only when the user presses a button (or similar). The project will start with a literature study to determine how PTT can be implemented on top of WebRTC. After that, the focus will be on implementing a PTT system.

You will:

• Perform a literature review
• Implement a PTT system
• Conduct and evaluate a user study
• Design different interfaces for web and mobile
• Summarize your findings in a thesis and present them to an audience
• (Optional) co-writing a research paper

You need:

• Strong communication skills in english and german
• Good knowledge of web development (react & react native)
• (Optional) General knowledge of the WebRTC API and audio-codecs

References

• [Documentation] WebRTC
• [Documentation] mediasoup
• [Paper] Evaluating two approaches for browser-based real-time multimedia communication
• [Paper] Service diffusion strategies for push to talk over cellular

This project aims to use the ad hoc network functionality of iPhones to build a mesh network (especially if the provider network is down) within a manageable area). A mesh network is a network where each device can act as a router for other devices. This allows for a network that is very robust against failures of individual devices. The project will start with a literature study to find out how to build such a network. After that, the focus will be on the implementation of the network.

You will:

• Perform a literature review
• Implement a mesh network
• Conduct and evaluate experiments
• Design a user interface
• Summarize your findings in a thesis and presenting them to an audience
• (Optional) co-writing a research paper

You need:

• Strong communication skills in english and german
• Good knowledge of iOS development (Swift) =
• Good knowledge of networking

References

• [Pitch] Wireless Mesh Networking App
• [Video] Build device-to-device interactions with Network Framework
• [Sample Code] Building a custom peer-to-peer protocol

With the increasing proliferation of augmented reality glasses (e.g. Hololens), we are getting closer to the vision of truly mobile interaction in a digitally augmented physical world. As a consequence, a major part of the interaction with such devices will happen on the go. This establishes a need for interaction and visualization techniques that support the user in highly mobile situations. In this thesis, we will prototype and evaluate such interaction and visualization techniques to better support users while interacting on the go.

Tasks:

• Development of interaction concepts
• Prototypical implementation
• Design and conduct a user study

Requirements:

• Good programming skills (C#, Unity is a plus)

Mixed reality describes a continuum between physical reality and complete digitality (i.e., virtual reality). Both, reality and digitality, offer inherent advantages and disadvantages depending on the use case. For example, a higher degree of digitality causes a loss of connection to the real world and, on the other hand, a higher degree of reality decreases the immersiveness of the experience.In this thesis, we will investigate how the positive and negative factors of reality and digitality affect different usage scenarios. Furthermore, we want to investigate how users can move on this continuum, i.e., how they can control the amount of digitality and reality.

Tasks:

• Development of interaction concepts
• Prototypical implementation
• Design and conduct a user study

Requirements:

• Good programming skills (C#, Unity is a plus)

Um Töne zu generieren oder ein Bildsequenzen anzupassen, können KI-basierte Methoden Sounddesignern große Unterstützungsmöglichkeiten bieten. Dabei ist es wichtig, die richtigen Eingabemethoden zu finden.

• Implementierung eines Prototyps zur Unterstützung beim Sounddesign mittels KI
• Experteninterviews und Nutzerumfragen

• Kenntnisse in Machine Learning und Interesse, diese zu vertiefen
• Wünschenswert: Grundkenntnisse in Audiobearbeitung

Eine Reihe KI-basierter Tools, die momentan veröffentlicht werden, haben das Potential, Filmschaffende in ihrer kreativen Arbeit zu unterstützen. Momentan braucht es dazu noch für jeden Task unterschiedliche Tools. Auch sind die Eingabemöglichkeiten noch nicht so, wie sie Filmschaffende für ihre Arbeit benötigen.

• Implementierung eines Prototyps zur Schnittunterstützung mittels KI
• Experteninterviews und Nutzerumfragen

• Kenntnisse in Machine Learning und Interesse, diese zu vertiefen
• Wünschenswert: Grundkenntnisse im Filmschnitt

Leichte Sprache ist ein wichtiges Mittel, um Medieninhalte Menschen mit Lernbehinderungen zugänglich zu machen. Neben der Umsetzung von Texten in Leichte Sprache, werden im Print- und Webbereich zur Unterstützung des Textverständnisses auch Bilder genutzt.Die Arbeit untersucht die Möglichkeit, dafür KI-generierte Bilder zu nutzen.

• Bilderzeugung in einem bestimmten Bildstil (Bilder für Leichte Sprache)
• Aufsetzen auf Stable Diffussion (weiteres Training)
• Implementierung eines Prototyps zur Erzeugung der Bilder
• Nutzerstudien

• Kenntnisse in Machine Learning und Interesse, diese zu vertiefen

Für Menschen mit Lernbehinderung ist es nicht immer leicht, Ironie zu erkennen. Deshalb wird sie bei der Umsetzung in Leichter Sprache besonders gekennzeichnet. Aufbauend auf der Masterarbeit von Christoph Weber (http://www.medien.ifi.lmu.de/lehre/arbeiten/detail.xhtml-php?pub=rothe_NLP ) sollen neue Netzwerkarchitekturen und Herangehensweisen erprobt werden (z.B. Transformer, Few-Shot-Learning).

• Bilderzeugung in einem bestimmten Bildstil (Bilder für Leichte Sprache)
• Erprobung neuer Ansätze auf den vorhandenen Mustard-Datensatz
• Einbeziehung eines neuen Datensatzes

• Kenntnisse in Machine Learning und Interesse, diese zu vertiefen

Problem Statement

Studierende haben das Remote-Studium (aus dem Home-Office) zu schätzen gelernt und möchten es weiterhin (situativ) nutzen.Die Interaktion in Lehrveranstaltungen leidet allerdings unter einem Mix von teilweise physisch anwesenden und teilweise physisch abwesenden Studierenden.Der "Fernstudent" ist ein Konzept, um diesem Problem zu begegnen: Studierende, die sich remote zuschalten, erhalten einen "Avatar" in Form Roboters, der physisch in der Lehrveranstaltung präsent ist. Dieser Avatar kann aus der Ferne gesteuert werden, um so in der Lehrveranstaltung teilnehmen und interagieren zu können (beispielsweise in Diskussionen).

Tasks

Ziel des Projekts ist die Entwicklung eines Prototypens, der das Konzept "Fernstudent" implementiert.Das Konzept wird anschliessend mittels Prototypens in Live-Lehrveranstungen eingesetzt und evaluiert.

Bevorzugte Skills und Interessen

• Human-Robot-Interaction (generell)
• Prototyping (Gestaltung haptischer Prototypen)
• Konzept-Evaluation (Design und Durchführung von Nutzerstudien)
• Erfahrung mit Web-Programmierung (z.B. Schnittstelle zu Zoom)

How easy it is to read and understand a piece of code can very much depend on the code style and whether its author took care of this. Particularly novice programmers could greatly benefit from well styled code. At the same time, they can lack the experience and expertise to adhere to code style conventions in their own code.

In this thesis, you will analyze an existing data set of novice code contributions with respect to code style. Based on these insights, you will perform additional empricial experiments, i.e. using surveys, lab experiments, eye tracking studies, etc. to further determine how code style is perceived by programmers of different levels of expertise and how we can support them to create better code.

This thesis is supervised in collaboration with the chair on Technology-Enhanced Learning.