Personal Data Interaction for Mobile and Wearables | DTU | Fall 2019

I lectured the class on the data the topic of data visualization [link to the lecture slides]. The course draws upon theory, methods, and techniques from Human-Computer Interaction (HCI), Pervasive/Ubiquitous Computing, and Mobile/Wearable Computing for the purpose of prototyping, modeling, and evaluating personal data interaction. The information life cycle of data acquisition, analysis, presentation (visualization), reflection, and action is addressed. Focus is on creating personal informatics systems and interfaces enabling self-tracking and interaction with and learning from personal data. There is emphasis on data visualization in the course.

Throughout the course students work in groups on multiple exercises, assignments and a final project, which involves prototyping and evaluation of user interfaces for personal data interaction. The course has a broad interpretation of “mobile”, that is, any mobile form factor including smartphones, tablets, smartwatch, self-tracking and sensing devices. Prototypes are built in any practicable technical platform as the focus is on the interaction and application aspects.

A student who has met the objectives of the course will be able to:

• Explain the concepts personal data and personal informatics
• Explain models of personal informatics systems
• Explain and apply designs of the personal data/informatics life cycle
• Prototype (feedback) user interfaces and data visualizations of personal data
• Design prototype apps for personal data interaction
• Evaluate prototype apps for personal data interaction
• Apply prototyping techniques
• Design and carry out experiments with user interfaces and interaction
• Apply methods for and carry out evaluation of user interfaces and interaction