Usability evaluation of computer-assisted survey instruments
Social Science Computer Review - Special issue on survey and statistical computing in the new millennium
Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
WebQuilt: A proxy-based approach to remote web usability testing
ACM Transactions on Information Systems (TOIS)
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Explaining response latencies and changing answers using client-side paradata from a web survey
Social Science Computer Review
'Migrating to a new virtual world': Exploring MMORPG switching through human migration theory
Computers in Human Behavior
Instrumenting the crowd: using implicit behavioral measures to predict task performance
Proceedings of the 24th annual ACM symposium on User interface software and technology
Using behavioral data to identify interviewer fabrication in surveys
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding users' behavior with software operation data mining
Computers in Human Behavior
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The use of online questionnaires is rapidly increasing. Contrary to manifold advantages, not much is known about user behavior that can be measured outside the boundaries set by standard web technologies like HTML form elements. To show how the lack of knowledge about the user setting in web studies can be accounted for, we present a tool called UserActionTracer, with which it is possible to collect more behavior information than with any other paradata gathering tool, in order to (1) gather additional data unobtrusively from the process of answering questions and (2) to visualize individual user behavior on web pages. In an empirical study on a large web sample (N=1046) we observed and analysed online behaviors (e.g., clicking through). We found that only 10.5% of participants showed more than five single behaviors with highly negative influence on data quality in the whole online questionnaire (out of 132 possible single behavior judgments). Furthermore, results were validated by comparison with data from online address books. With the UserActionTracer it is possible to gain further insight into the process of answering online questionnaires.