The personalization of an interface in Mixed Reality (MR) can be very beneficial for users since it, e.g., enables them to use the interface based on their abilities and capabilities, or to interact more efficiently. Personalization describes the adaptation of a system based on personal data (e.g, demographics, level of expertise, real-time physiological data, user context data). For instance, to control a robotic arm in a human-robot collaboration scenario, an expert user could see a more complex interface with more fine-grained control options than a novice user. Additionally, the interface might be adapted based on their preferred language, current cognitive state, or the task they are currently performing. However, users might not know why the interface is adapted, if they are not informed about it in a well-designed manner. Especially when many parameters are part of the personalization, it can be challenging to design an appropriate interface that does not lead to an increased cognitive load for users.
Therefore, we are interested in studying how users can be informed transparently about why and how an interface has been personalized for them, to increase their trust in the system and potentially to let users adapt the personalization parameters.
**In this project, you will:**
- Review existing approaches for informing users transparently about why and how an (MR) interface has been personalized for them
- Design and create mock-ups of these interface designs (e.g., using Figma or Penpot)
- Conduct and evaluate in person and online surveys to measure people’s preferred design(s) based on the created mock-ups
- Implement the preferred designs (based on the survey results) of transparent personalization communication in an MR application for the Microsoft HoloLens 2 using Unity
- Conduct and evaluate a user study to measure people’s preferred design(s) in one or multiple concrete scenarios
**If you are a Master's student, you will additionally:**
- Additionally implement options for users to adapt the personalization parameters ("customization").
- Conduct and evaluate a user study to evaluate the transparent design and the adaption of personalization parameters.
**This project is great for you, if you are:**
- Strongly interested or familiar in designing Mixed/Augmented Reality interfaces
- Familiar with visual design tools (e.g., Adobe Photoshop, Figma, Penpot, or Affinity Designer)
- Interested in Personalization, Transparency & Technology
- Interested in participating in state of the art research
- Interested in publishing your research work in academic venues
- An excellent communicator in English
Reach out if you are interested!
The personalization of an interface in Mixed Reality (MR) can be very beneficial for users since it, e.g., enables them to use the interface based on their abilities and capabilities, or to interact more efficiently. Personalization describes the adaptation of a system based on personal data (e.g, demographics, level of expertise, real-time physiological data, user context data). For instance, to control a robotic arm in a human-robot collaboration scenario, an expert user could see a more complex interface with more fine-grained control options than a novice user. Additionally, the interface might be adapted based on their preferred language, current cognitive state, or the task they are currently performing. However, users might not know why the interface is adapted, if they are not informed about it in a well-designed manner. Especially when many parameters are part of the personalization, it can be challenging to design an appropriate interface that does not lead to an increased cognitive load for users. Therefore, we are interested in studying how users can be informed transparently about why and how an interface has been personalized for them, to increase their trust in the system and potentially to let users adapt the personalization parameters.
**In this project, you will:**
- Review existing approaches for informing users transparently about why and how an (MR) interface has been personalized for them - Design and create mock-ups of these interface designs (e.g., using Figma or Penpot) - Conduct and evaluate in person and online surveys to measure people’s preferred design(s) based on the created mock-ups - Implement the preferred designs (based on the survey results) of transparent personalization communication in an MR application for the Microsoft HoloLens 2 using Unity - Conduct and evaluate a user study to measure people’s preferred design(s) in one or multiple concrete scenarios
**If you are a Master's student, you will additionally:**
- Additionally implement options for users to adapt the personalization parameters ("customization"). - Conduct and evaluate a user study to evaluate the transparent design and the adaption of personalization parameters.
**This project is great for you, if you are:**
- Strongly interested or familiar in designing Mixed/Augmented Reality interfaces - Familiar with visual design tools (e.g., Adobe Photoshop, Figma, Penpot, or Affinity Designer) - Interested in Personalization, Transparency & Technology - Interested in participating in state of the art research - Interested in publishing your research work in academic venues - An excellent communicator in English
