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AWARE: Mobile Context Instrumentation Framework
Open accessAbstract
We present a mobile instrumentation toolkit, AWARE, an open-source effort to develop an extensible and reusable platform for capturing, inferring, and generating context on mobile devices. Mobile phones are sensor-rich but resource-constrained, and therefore several considerations need to be addressed when creating a research tool that ensures problem-free context collection. We demonstrate how AWARE can mitigate researchers’ effort when building mobile data-logging tools and context-aware applications, with minimal battery impact. By encapsulating implementation details of sensor data retrieval and exposing the sensed context as higher-level abstractions, AWARE shifts the focus from software development to data analysis, both quantitative and qualitative. We have evaluated AWARE in several case studies and discuss its use, power consumption, and scalability.
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“In short, the AWARE app allows the collection of data on smartphone usage (e.g., usage time and frequency, GPS data, communication behavior) as well as ecological momentary assessments in form of questionnaires.”
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“Instrumenting smartphones and wearables to capture in situ, fine-grained, and moment-by-moment data sets with sensing apps [20-24] has made it possible to passively collect data sets in naturalistic settings.”
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“For technical details on how the data is collected as well as an in-depth description of privacy and data security of the app and the server please see the concept paper of the AWARE framework (84).”
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Metadata
- Authors
- Ferreira, D., Kostakos, V., & Dey, A. K.
- Affiliations
- University of Oulu (FI)
- Carnegie Mellon University (US)
- Corresponding author
- Ferreira, Denzil
- Kostakos, Vassilis
- Venue
- Frontiers in ICT
- Publisher
- Frontiers Media SA
- Published
- 2015-04-20
- Volume
- 2
- ISSN
- 2297-198X (ISSN-L)
- OpenAlex
- W2078074240
- Cited by
- 409
- References
- 18
- Citations by year
- 2026: 24 · 2025: 30 · 2024: 49 · 2023: 35 · 2022: 42 · 2021: 48 · 2020: 39 · 2019: 31 · 2018: 48 · 2017: 35 · 2016: 25 · 2015: 3
- FWCI
- 31.88
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in ICT (publishedVersion, cc-by)
- Funders
- Academy of Finland (137736, 276786)
- Tekes (2932/31/2009)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- AWARE, context-aware systems, sensor data acquisition, battery consumption, resource-constrained mobile devices, context inference, open-source software toolkit, scalability
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