QButterfly: Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers
January 18, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
Authors
Nico Ebert, BjΓΆrn Scheppler, Kurt Ackermann, Tim Geppert
arXiv ID
2301.07465
Category
cs.HC: Human-Computer Interaction
Citations
8
Venue
International Conference on Human Factors in Computing Systems
Repository
https://github.com/QButterfly
Last Checked
1 month ago
Abstract
We provide a user-friendly, flexible, and lightweight open-source HCI toolkit (github.com/QButterfly) that allows non-tech-savvy researchers to conduct online user interaction studies using the widespread Qualtrics and LimeSurvey platforms. These platforms already provide rich functionality (e.g., for experiments or usability tests) and therefore lend themselves to an extension to display stimulus web pages and record clickstreams. The toolkit consists of a survey template with embedded JavaScript, a JavaScript library embedded in the HTML web pages, and scripts to analyze the collected data. No special programming skills are required to set up a study or match survey data and user interaction data after data collection. We empirically validated the software in a laboratory and a field study. We conclude that this extension, even in its preliminary version, has the potential to make online user interaction studies (e.g., with crowdsourced participants) accessible to a broader range of researchers.
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