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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

Understanding User Behavior Through Log Data and Analysis

verfasst von : Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan

Erschienen in: Ways of Knowing in HCI

Verlag: Springer New York

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Abstract

HCI researchers are increasingly collecting rich behavioral traces of user interactions with online systems in situ at a scale not previously possible. These logs can be used to characterize user interactions with existing systems and compare different designs. Large-scale log studies give rise to new challenges in experimental design, data collection and interpretation, and ethics. The chapter discusses how to address these challenges using search engine logs, but the methods are applicable to other types of log data.

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Vorheriges Kapitel Eye Tracking: A Brief Introduction
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Metadaten
Titel
Understanding User Behavior Through Log Data and Analysis
verfasst von
Susan Dumais
Robin Jeffries
Daniel M. Russell
Diane Tang
Jaime Teevan
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Ways of Knowing in HCI

Print ISBN: 978-1-4939-0377-1

Electronic ISBN: 978-1-4939-0378-8

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4939-0378-8_14

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