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https://doi.org/10.21256/zhaw-28181| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | QButterfly : lightweight survey extension for online user interaction studies for non-tech-savvy researchers |
| Authors: | Ebert, Nico Scheppler, Björn Ackermann, Kurt Alexander Geppert, Tim |
| et. al: | No |
| DOI: | 10.1145/3544548.3580780 10.21256/zhaw-28181 |
| Proceedings: | CHI '23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
| Page(s): | 161 |
| Conference details: | Conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, 23-28 April 2023 |
| Issue Date: | 19-Apr-2023 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| ISBN: | 978-1-4503-9421-5 |
| Language: | English |
| Subjects: | Human-centered computing; Laboratory experiment; Field study; User study |
| Subject (DDC): | 658.8: Marketing management |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28181 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Management and Law |
| Organisational Unit: | Institute of Marketing Management (IMM) Institute of Business Information Technology (IWI) |
| Appears in collections: | Publikationen School of Management and Law |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Ebert-etal_QButterfly-survey-extension.pdf | 401.86 kB | Adobe PDF |  View/Open |
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Ebert, N., Scheppler, B., Ackermann, K. A., & Geppert, T. (2023). QButterfly : lightweight survey extension for online user interaction studies for non-tech-savvy researchers [Conference paper]. CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 161. https://doi.org/10.1145/3544548.3580780
Ebert, N. et al. (2023) ‘QButterfly : lightweight survey extension for online user interaction studies for non-tech-savvy researchers’, in CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, p. 161. Available at: https://doi.org/10.1145/3544548.3580780.
N. Ebert, B. Scheppler, K. A. Ackermann, and T. Geppert, “QButterfly : lightweight survey extension for online user interaction studies for non-tech-savvy researchers,” in CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Apr. 2023, p. 161. doi: 10.1145/3544548.3580780.
EBERT, Nico, Björn SCHEPPLER, Kurt Alexander ACKERMANN und Tim GEPPERT, 2023. QButterfly : lightweight survey extension for online user interaction studies for non-tech-savvy researchers. In: CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Conference paper. Association for Computing Machinery. 19 April 2023. S. 161. ISBN 978-1-4503-9421-5
Ebert, Nico, Björn Scheppler, Kurt Alexander Ackermann, and Tim Geppert. 2023. “QButterfly : Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers.” Conference paper. In CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 161. Association for Computing Machinery. https://doi.org/10.1145/3544548.3580780.
Ebert, Nico, et al. “QButterfly : Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers.” CHI ’23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2023, p. 161, https://doi.org/10.1145/3544548.3580780.
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