A survey on smartphone features relevant for reality mining
- The acquisition of data for reality mining applications is a critical factor, since many mobile devices, e.g. smartphones, must be capable of capturing the required data. Otherwise, only a small target group would be able to use the reality mining application. In the course of a survey, we have identified smartphone features which might be relevant for various reality mining applications. The survey classifies these features and shows how the support of each feature has changed over the years by analyzing 143 smartphones released between 2004 and 2015. All analyzed devices can be ranked by their number of provided features. Furthermore, this paper deals with quality issues which have occurred during carrying out the survey.
| Author of HS Reutlingen | Geisse, Dennis; John, Iven; Kotstein, Sebastian |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-9258 |
| URL: | http://subs.emis.de/LNI/Proceedings/Proceedings258/article8.html |
| ISBN: | 978-3-88579-652-7 |
| Erschienen in: | Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14 - 15, 2016 |
| Publisher: | Gesellschaft für Informatik |
| Place of publication: | Bonn |
| Editor: | Dieter Hertweck |
| Document Type: | Book chapter |
| Language: | English |
| Publication year: | 2016 |
| Page Number: | 10 |
| First Page: | 107 |
| Last Page: | 116 |
| PPN: | Im Katalog der Hochschule Reutlingen ansehen |
| DDC classes: | 004 Informatik |
| Open access?: | Ja |
| Licence (German): |  Open Access |
