Abstract
Thought and Life Logging (Tholilo) is an interdisciplinary research project of computer engineers and psychologists. One aspect of Tholilo is to understand how daily context influence our mood and temporal thinking. In this contribution, we present a data collection framework which records sensor data and survey responses from smartphones to infer user’s context, user’s mood and temporal thinking. In a pilot study, data is collected from two collectives located in Turkey and in Switzerland. We examine correlations between phone data and surveys. As a proof of concept, we show how phone data is correlated with changes in participant’s mood. We conclude with lessons learned and future work.
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Acknowledgment
We thank our participants from Turkey and from Switzerland. With your valuable feedback we will start with the second round of data collection in autumn 2015.
This work was partially funded by the Co-Funded Brain Circulation Scheme Project “Pervasive Healthcare: Towards Computational Networked Life Science” (TÜBITAK Co-Circ 2236, Grant agreement number: 112C005) supported by TÜBİTAK and EC FP7 Marie Curie Action COFUND.
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Hernández, N. et al. (2015). Thought and Life Logging: A Pilot Study. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_3
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DOI: https://doi.org/10.1007/978-3-319-26401-1_3
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