Schreiber, Andreas (2016) A Provenance Model for Quantified Self Data. In: Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices, 9737, Seiten 382-393. Springer International Publishing. 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016, 2016-07-17 - 2016-07-22, Toronto, Kanada. doi: 10.1007/978-3-319-40250-5_37. ISBN 978-3-319-40250-5. ISSN 0302-9743.
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Offizielle URL: http://link.springer.com/chapter/10.1007%2F978-3-319-40250-5_37
Kurzfassung
Quantified Self became popular in recent years. People are tracking themselves with Wearables, smartphone apps, or desktop applications. They collect, process and store huge amounts of personal data for medical and other reasons. Due to the complexity of different data sources, apps, and cloud services, it is hard to follow the data flow and to have trust in data integrity and safety. We present a solution that helps to get insight in Quantified Self data flows and to answer questions related to data security. We provide a provenance model for Quantified Self data based on the W3C standard PROV. Using that model, developers and users can record provenance of Quantified Self apps and services with a standardized notation. We show the feasibility of the presented provenance model with a small workflow using steps data from Fitbit fitness tracker.
elib-URL des Eintrags: | https://elib.dlr.de/105124/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | A Provenance Model for Quantified Self Data | ||||||||||||
Autoren: |
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Datum: | 21 Juni 2016 | ||||||||||||
Erschienen in: | Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Band: | 9737 | ||||||||||||
DOI: | 10.1007/978-3-319-40250-5_37 | ||||||||||||
Seitenbereich: | Seiten 382-393 | ||||||||||||
Herausgeber: |
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Verlag: | Springer International Publishing | ||||||||||||
Name der Reihe: | Lecture Notes in Computer Science | ||||||||||||
ISSN: | 0302-9743 | ||||||||||||
ISBN: | 978-3-319-40250-5 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Provenance,Quantified self,Personal informatics,Trust,Ontology,PROV | ||||||||||||
Veranstaltungstitel: | 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016 | ||||||||||||
Veranstaltungsort: | Toronto, Kanada | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 17 Juli 2016 | ||||||||||||
Veranstaltungsende: | 22 Juli 2016 | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben SISTEC (alt) | ||||||||||||
Standort: | Berlin-Adlershof , Braunschweig , Köln-Porz | ||||||||||||
Institute & Einrichtungen: | Institut für Simulations- und Softwaretechnik > Verteilte Systeme und Komponentensoftware Institut für Simulations- und Softwaretechnik | ||||||||||||
Hinterlegt von: | Schreiber, Andreas | ||||||||||||
Hinterlegt am: | 15 Aug 2016 14:31 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:10 |
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