Visualizing female basal body temperature

Motivation: The terms "Personal Informatics" or "Quantified Self" specify technologies that help users to track and analyse their physical and mental activity, their performance, their health etc. so that they can make better decisions based on data. This project is concerned with digital self-tracking of the female cycle. In this project, we will use senosors that collect continuous sets of female basal body temperature as well as existing algorithms that infer hormone levels to allow women to better understand their female cycle, ovulation, and fertility. The project goal is to explore the design space and build prototypes that give women feedback using the collected and inferred data.

Tasks:

• Conduct a comprehensive survey of related work. This will cover areas such as publications about Personal Informatics for women and reviewing ovulation tracking technologies in the app store.
• Conducting interviews with potential users
• Brainstorming and sketching possible interaction and visualization concepts.
• Developing and implementing a prototype of a promising feedback concept
• Conducting a user study to evaluate the concept

This project can be adapted to suit the requirements of a Bachelor or Master thesis, or an "Einzelpraktikum" (practical course, spanning one or two semesters for 6 or 12 ECTS, respectively)

Requirements:

• Interest in mHealth technology, activity tracking, and participatory design
• UI design skills
• Decent web or mobile programming skills
• Independent scientific work and creative problem solving