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Schreiber, Andreas (2016) A Provenance Model for Quantified Self Data. In: Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices, 9737, pp. 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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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-319-40250-5_37
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/105124/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | A Provenance Model for Quantified Self Data | ||||||||||||
| Authors: |
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| Date: | 21 June 2016 | ||||||||||||
| Journal or Publication Title: | Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Volume: | 9737 | ||||||||||||
| DOI: | 10.1007/978-3-319-40250-5_37 | ||||||||||||
| Page Range: | pp. 382-393 | ||||||||||||
| Editors: |
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| Publisher: | Springer International Publishing | ||||||||||||
| Series Name: | Lecture Notes in Computer Science | ||||||||||||
| ISSN: | 0302-9743 | ||||||||||||
| ISBN: | 978-3-319-40250-5 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Provenance,Quantified self,Personal informatics,Trust,Ontology,PROV | ||||||||||||
| Event Title: | 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016 | ||||||||||||
| Event Location: | Toronto, Kanada | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 17 July 2016 | ||||||||||||
| Event End Date: | 22 July 2016 | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||
| DLR - Research theme (Project): | R - Vorhaben SISTEC (old) | ||||||||||||
| Location: | Berlin-Adlershof , Braunschweig , Köln-Porz | ||||||||||||
| Institutes and Institutions: | Institut of Simulation and Software Technology > Distributed Systems and Component Software Institut of Simulation and Software Technology | ||||||||||||
| Deposited By: | Schreiber, Andreas | ||||||||||||
| Deposited On: | 15 Aug 2016 14:31 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:10 |
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