Name
Abstract | ||
|---|---|---|
The ubiquity of sensor-rich and computationally powerful smartphones makes them an ideal platform for conducting social and behavioural research. However, building sensor data collection tools remains arduous and challenging: it requires an understanding of the varying sensor programming interfaces as well as the research issues related to building sensor-sampling systems. To alleviate this problem and facilitate the development of social sensing and data collection applications, we are developing a set of open-source smartphone libraries to collect, store and transfer, and query sensor data. Furthermore, we have also developed a library that can trigger notifications based on time or sensor events to assist experience sampling methods. This paper presents these libraries' architecture, initial feedback from developers using it, and a sensing application that we built using them to study daily affect. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2494091.2497345 | UbiComp (Adjunct Publication) |
Keywords | Field | DocType |
ideal platform,query sensor data,varying sensor programming interface,computationally powerful smartphones,initial feedback,data collection application,sensor data collection tool,research issue,sensor event,open source smartphone library,computational social science,behavioural research,sensors,android | Data collection,Architecture,Android (operating system),Computer science,Experience sampling method,Human–computer interaction,Computational sociology,Multimedia | Conference |
Citations | PageRank | References |
16 | 1.01 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Neal Lathia | 1 | 807 | 38.80 |
| Kiran K. Rachuri | 2 | 570 | 28.03 |
| Cecilia Mascolo | 3 | 5856 | 342.94 |
| George Roussos | 4 | 311 | 28.38 |