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LoggerMan, a comprehensive logging and visualisation tool to capture computer usage

Hinbarji, Zaher and Albatal, Rami and O'Connor, Noel E. and Gurrin, Cathal (2016) LoggerMan, a comprehensive logging and visualisation tool to capture computer usage. In: 22st International Conference on MultiMedia Modelling (MMM 2016), 4-6 Jan, 2016, Miami, FA.. ISBN 978-3-319-27673-1

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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. By this work, we aim to fill the current lack of logging software in this domain, which would help us and other researchers as well to build data sets for HCI experiments and also to better understand computer usage patterns. Our tool is published online (loggerman.org) to be used freely by the community.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Lifelog
Computer Science > Computer software
Computer Science > Visualization
Computer Science > Computer security
Computer Science > Computer engineering
Computer Science > Multimedia systems
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517. Springer. ISBN 978-3-319-27673-1
Publisher:Springer
Copyright Information:© 2016 Springer The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20862
Deposited On:13 Jan 2016 11:33 by Zaher Hinbarji. Last Modified 01 Feb 2017 11:12

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