Studentische Arbeiten

Titel

Betreuer/in

MA: GravitySpot 2.0 (engl.)

Tasks:

• Build on the two previous projects to implement and evaluate GravitySpot 2.0. Taking some points into consideration e.g. the kinds of situations GravitySpot 2.0 should cover .

• Review of previous work on interaction with public displays is necessary.

• Conducting user studies and evaluating the data

• Handling of depth imaging data from a motion sensor (e.g. Kinect)

Yasmeen Abdrabou

Dw. 7322

BA/MA: Gaze-based Authentication in Head Mounted Displays (engl.)

Tasks:

• Literature review

• Build and evaluate the system

• Analyze the results

Yasmeen Abdrabou

Dw. 7322

BA: Calibrating while Authenticating (engl.)

Tasks:

• Build the application

• Usability and security evaluation

• Analyze the results

Yasmeen Abdrabou

Dw. 7322

BA: Graphical filters to protect password input (engl.)

Tasks:

• Build the application

• Conduct a large-scale survey

• Evaluate the data

• Analyze the results

Yasmeen Abdrabou

Dw. 7322

BA/MA: Have you used this password before? (engl.)

Tasks:

• Conducting a large-scale survey and evaluating the data

• Using machine learning to build models that can predict if users have used the given password before

• Collecting mass data (e.g. 1000 entries)

Yasmeen Abdrabou

Dw. 7322

BA/MA: Social Gatherings in Virtual Reality (engl.)

The aim of the thesis is to explore the interaction and visualization techniques for social gatherings.

Radiah Rivu

Dw. 7322

MA: Virtual Reality as a Novel Research Paradigm (engl.)

The objective of this thesis is to investigate, which research questions are particularly suitable for investigation in virtual reality. In particular, the task of the student is to review previous work that investigated virtual reality as research tool.

Radiah Rivu

Dw. 7322

BA/MA: Human Motion for User Identification

In this project, the student investigates the uniqueness of body movement. By using state of the art motion tracking with a motion tracking suit, a computer system can monitor how users move. The project involves data collection of users’ motion.

Dr. Ken Pfeuffer

Dw. 7321

BA/MA: Authentication in a Smart Environment (“3D Pass”)

Users' home environments are increasingly equipped with „smart” devices, which are increasingly capable of accessing, collecting and processing sensitive personal data. This opens a need for authentication on these devices. However, conventional authentication mechanisms are oftentimes not suitable for smart devices. This thesis aims at developing a new, scalable authentication mechanism for smart environments based on a) novel possibilities for input and b) novel authentication factors (e.g. behavioural biometrics).

Tasks:

• Comprehensive survey of related work

• Get familiar with hardware and software

• Conceptual design of authentication mechanisms using security questions for smart environments, considering:

  • Device & interaction modality (e.g., smartphone, smart TV, smart speaker, etc)

  • Content of questions? (e.g. recent events? what about privacy-sensitive content?)

• Implementation of a concrete prototype

• Evaluation of security as well as usability of the prototype

Sarah Prange

BA/MA: Dynamic Security Questions in Smart Environments

With this thesis, we aim at transferring the concept of security questions in the broader scope of smart
environments. As an example, devices such as smart speakers could start a dynamic „Q&A“ session to
verify the legitimate user. Contents of questions may vary according to current contexts or previous
interactions while preserving users’ privacy (i.e. do not put sensitive questions!). 

Tasks:

• Review of related work

• Analysis & Concept:

  • find suitable devices (not necessarily „smart”)

  • find suitable interactions

• Develop and evaluate a concrete authentication mechanism for a smart home environment

• Analysis, reflection, and discussion of the outcomes

Sarah Prange

BA/MA: Towards Usable Blockchain Interfaces – Interaction Concepts for Key Management

Public key cryptography is a concept frequently used in computer science – however recent increase in popularity of blockchain systems (e.g. Bitcoin, Ethereum) now requires users outside of this domain to deal with private/ public key cryptography.
The goal of this thesis is to look at public key cryptography from an HCI perspective and analyze interaction concepts for key management.

How do (end-) users interact with blockchain systems? How do they deal with the challenges of public key cryptography? And which novel interaction concepts – building on existing work – can be developed to reduce complexity of key management?

Tasks
• Review of related literature
• Analyze existing strategies for key management
• Design and conduct user study
• Develop and evaluate an (improved) concept for key management

Preferred Qualifications
• Knowledge in the area of human computer interaction
• Independent thinking and creative problem solving
• Interest in designing and conducting user studies
• Web Development Experience (optional)
• Interest in crypto currencies (optional)

Michael Fröhlich

BA/MA: Towards Usable Blockchain Interfaces – Understanding Seed Phrase Storage in Practice

An increasingly popular method to generate private/ public key pairs for cryptocurrency wallets is Hierarchical Deterministic Key Generation based on a series of random words. These words (mnemonics) can be stored and subsequently used to (re-)generate the original private key file, in case it is lost.
The goal of this thesis is to analyze how users actually store these phrases in practice, to look at the benefits and drawback of different strategies and ultimately develop a new concept for improved handling of mnemonics.

Tasks
• Review of related literature
• Analyze key phrase/ mnemonics storage strategies in practice: Online Research, User Interviews
• Design a user study to systematically compare the different strategies
• Develop and evaluate a concept to improve upon existing strategies

Preferred Qualifications
• Knowledge in the area of human computer interaction
• Independent thinking and creative problem solving
• Interest in designing and conducting user studies
• Web Development Experience (optional)
• Interest in crypto currencies (optional)

Michael Fröhlich

BA/MA: Privacy Mental Models of Smart Homes

In a Smart Home everyday objects are connected by information, communication and sensor technologies. To provide their services, Smart Home devices need access to a plethora of data about the users and their homes. To make an informed decision regarding their data, the users require information about the data processing and all entities that interact with it.

(Prospective) Smart Home users require information to make informed privacy decisions. This information should consider the user’s mental model of the Smart Home device, data flow and entities that can access the data. To gain this understanding, this thesis investigates the mental models of (prospective) Smart Home users. 

• High interest in conducting a user study
• Ideally lectures in IT-security and human-computer interaction

BA/MA: Usable Security in VR/AR

Usable security for virtual and augmented reality systems (VR/AR) is an area that is relatively underexplored. This thesis aims to investigate the feasibility of authentication mechanisms for VR/AR, while considering the usability and security aspects, specifically potential attacks.

Tasks

• Get familiar with VR/AR hardware and software
• Get familiar with authentication techniques
• Find and study related literature
• Develop\reuse software tracking the body motion and model it in VR
• Design a user study
• Conduct a user study
• Do a statistical evaluation
• Write all down in a thesis

Preferred (but not necessary) qualification

• Knowledge in the area of human computer interaction
• Independent thinking and creative problem solving
• Experience in programming with Unity a plus

BA/MA: Unobtrusive Stress Detection in Virtual Reality

In the 21st Century, mental health disorders like stress, anxiety and depression have become a part of our daily lives. Current digital systems are largely blind to users'stress states. Systems that adapt to users' states show great potential for creating novel user experiences. However, most approaches for sensing stress, involve obtrusive technologies, such as physiological sensors attached to users' bodies and not yet adapted to VR/AR. In this thesis, we aim to explore unobtrusive sensors for detecting stress, while considering VR/AR setups.

• Knowledge in the area of human computer interaction
• Independent thinking and creative problem solving
• Experience in programming with Unity a plus