QButterfly: Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers
Nico Ebert, Björn Scheppler, Kurt Alexander Ackermann, Tim Geppert
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.
• Human-centered computing → Laboratory experiments; Field studies; User studies; Systems and tools for interaction design.
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Cited by top-tier papers3
- Designing a Data-Driven Survey System: Leveraging Participants' Online Data to Personalize SurveysLev Velykoivanenko, Kavous Salehzadeh Niksirat, Stefan Teofanovic, Bertil Chapuis et al.CHI 2024 · 5 citations
- Evaluating the Potential of Data-Driven Surveys for Fitness-Tracking ResearchLev Velykoivanenko, Kavous Salehzadeh Niksirat, Amro Abdrabo, Kévin HugueninUbiComp 2026
- Dynamic Surveys: Using LLMs to Blend Qualitative Depth, Quantitative Structure, and Collaborative InteractionKehua Lei, Aidan Ladenburg, Zahra Kais Petiwala, Zili Wang et al.CSCW 2025
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