Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns
| Autor: | Ivan R Felix, Luis A Castro, Luis-Felipe Rodriguez, Oresti Banos |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | International Journal of Distributed Sensor Networks, Vol 15 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1550-1477 15501477 |
| DOI: | 10.1177/1550147719874186 |
| Popis: | Collecting experimental data from multiple sensing devices has just recently become quite popular in behavioral and social sciences. Among existing devices, mobile phones stand out as they allow researchers to collect data from individuals in an unbiased, precise, unobtrusive, and timely manner. Current mobile sensing applications are typically developed from scratch, provide no reusable components, and frequently do not take advantage of the devices’ processing capabilities. In light of such limitations, this work presents a novel tool that leverages mobile phones not only to collect data via their sensors but also to process them on the device as soon as they are gathered. The tool provides researchers with easy-to-use services that allow them to configure the required processing routines on the mobile phones. This work proposes a new approach for rapid deployment of sensing campaigns targeted at scientists with basic technical knowledge and requiring low effort. We performed an evaluation aimed at determining whether there is a significant improvement in terms of user effectiveness and efficiency in the definition of new components. The results suggest that the proposed tool speeds up the time and reduces the effort taken for setting up and deploying a sensing campaign. |
| Databáze: | Directory of Open Access Journals |
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