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Contextual dissonance: design bias in sensor-based experience sampling methods.

, , , and . UbiComp, page 183-192. ACM, (2013)

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EmotionSense: a mobile phones based adaptive platform for experimental social psychology research., , , , , and . UbiComp, page 281-290. ACM, (2010)Contextual dissonance: design bias in sensor-based experience sampling methods., , , and . UbiComp, page 183-192. ACM, (2013)LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources., , , and . MobiCom, page 320-333. ACM, (2016)DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones., , , and . SenSys, page 295-309. ACM, (2014)Smartphones for Large-Scale Behavior Change Interventions., , , , , and . IEEE Pervasive Computing, 12 (3): 66-73 (2013)Smartphones based social sensing : adaptive sampling, sensing and computation offloading.. University of Cambridge, UK, (2013)British Library, EThOS.Energy-Accuracy Trade-offs of Sensor Sampling in Smart Phone Based Sensing Systems., , and . Mobile Context Awareness, Springer, (2012)Energy efficient and low latency biased walk techniques for search in wireless sensor networks., and . J. Parallel Distrib. Comput., 71 (3): 512-522 (2011)METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications., , , , and . PerCom, page 85-93. IEEE Computer Society, (2013)Beyond location check-ins: Exploring physical and soft sensing to augment social check-in apps., , , and . PerCom, page 123-130. IEEE Computer Society, (2015)