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Visual Exploration of Dirty Activity Sensor and Emotional State Data from Psychological Experiments

Gülensoy, Kerem and Gawrilow, Caterina and Landesberger, Tatiana von (2014):
Visual Exploration of Dirty Activity Sensor and Emotional State Data from Psychological Experiments.
ACM, New York, In: i-KNOW 2014, In: ACM International Conference Proceedings Series; 889, DOI: 10.1145/2637748.2638432,
[Conference or Workshop Item]

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Gülensoy, Kerem and Gawrilow, Caterina and Landesberger, Tatiana von
Title: Visual Exploration of Dirty Activity Sensor and Emotional State Data from Psychological Experiments
Language: English
Abstract:

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.

Series Name: ACM International Conference Proceedings Series; 889
Publisher: ACM, New York
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Visual analytics, Data exploration, Emotion classification, Emotion recognition
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: i-KNOW 2014
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1145/2637748.2638432
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