Visual exploration of dirty activity sensor and emotional state data from psychological experiments

We present a system for visual exploration of time-dependent activity sensor and emotion state data gained from psychological experiments. The real data has several quality problems such as missing or implausible observations as well as data inconsistencies. Therefore, our system automatically pre-processes the data. It then shows the results in an interactive interface. Two interactive views allow for gaining insights into children's sleep time patterns, activity during sleep and emotional changes over multiple nights. We developed and tested the system together with psychological experts. We show a use case applying our system to real-world data gained in a children study.

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