A DATA-DRIVEN DESIGN FOR DERIVING USABILITY METRICS

Tamara Babaian, Wendy Lucas, Heikki Topi

Abstract

The complexity of Enterprise Information Systems can be overwhelming to users, yet they are an often overlooked domain for usability research. To better understand the ways in which users interact with these systems, we have designed an infrastructure for input logging that is built upon a data model relating system components, user inputs, and tasks. This infrastructure is aware of user representations, task representations, and the history of user interactions. The interface components themselves log user inputs, so that timing data and action events are automatically aligned and are linked to specific tasks. The knowledge gained about user interactions at varying levels of granularity, ranging from keystroke analysis to higher-level task performance, is a valuable resource for both assessing and enhancing system usability.

References

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Paper Citation


in Harvard Style

Babaian T., Lucas W. and Topi H. (2007). A DATA-DRIVEN DESIGN FOR DERIVING USABILITY METRICS . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-07-4, pages 154-159. DOI: 10.5220/0001334701540159


in Bibtex Style

@conference{icsoft07,
author={Tamara Babaian and Wendy Lucas and Heikki Topi},
title={A DATA-DRIVEN DESIGN FOR DERIVING USABILITY METRICS},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={154-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001334701540159},
isbn={978-989-8111-07-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - A DATA-DRIVEN DESIGN FOR DERIVING USABILITY METRICS
SN - 978-989-8111-07-4
AU - Babaian T.
AU - Lucas W.
AU - Topi H.
PY - 2007
SP - 154
EP - 159
DO - 10.5220/0001334701540159