Abstract
As we become increasingly dependent on our computers and spending a major part of our day interacting with these machines, it is becoming important for lifeloggers and Human-Computer Interaction (HCI) researchers to capture this aspect of our life. In this paper, we present LoggerMan, a comprehensive logging tool to capture many aspects of our computer usage. It also comes with reporting capabilities to give insights to the data owner about his/her computer usage. In this work, we aim to address the current lack of logging software in this domain, which would help us, and other researchers, to build datasets for HCI experiments and also to better understand computer usage patterns. Our tool is published online (http://loggerman.org/) to be used freely by the community.
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This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under grant number SFI/12/RC/2289.
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Hinbarji, Z., Albatal, R., O’Connor, N., Gurrin, C. (2016). LoggerMan, a Comprehensive Logging and Visualization Tool to Capture Computer Usage. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9517. Springer, Cham. https://doi.org/10.1007/978-3-319-27674-8_31
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DOI: https://doi.org/10.1007/978-3-319-27674-8_31
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