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

Gülensoy, Kerem ; Gawrilow, Caterina ; Landesberger von Antburg, Tatiana (2014)
Visual Exploration of Dirty Activity Sensor and Emotional State Data from Psychological Experiments.
i-KNOW 2014.
doi: 10.1145/2637748.2638432
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Gülensoy, Kerem ; Gawrilow, Caterina ; Landesberger von Antburg, Tatiana
Art des Eintrags: Bibliographie
Titel: Visual Exploration of Dirty Activity Sensor and Emotional State Data from Psychological Experiments
Sprache: Englisch
Publikationsjahr: 2014
Verlag: ACM, New York
Reihe: ACM International Conference Proceedings Series; 889
Veranstaltungstitel: i-KNOW 2014
DOI: 10.1145/2637748.2638432
Kurzbeschreibung (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.

Freie Schlagworte: Forschungsgruppe Visual Search and Analysis (VISA), Visual analytics, Data exploration, Emotion classification, Emotion recognition
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 22 Jul 2021 18:31
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