Perceived Usability of Collaborative Modeling Tools
August 26, 2024 Β· Declared Dead Β· π Journal of Systems and Software
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Authors
Ranci Ren, John W. Castro, Santiago R. AcuΓ±a, Oscar Dieste, Silvia T. AcuΓ±a
arXiv ID
2408.14088
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SE
Citations
2
Venue
Journal of Systems and Software
Last Checked
4 months ago
Abstract
Context: Online collaborative creation of models is becoming commonplace. Collaborative modeling using chatbots and natural language may lower the barriers to modeling for users from different domains. Objective: We compare the perceived usability of two similarly online collaborative modeling tools, the SOCIO chatbot and the Creately web-based tool. Method: We conducted a crossover experiment with 66 participants. The evaluation instrument was based on the System Usability Scale (SUS). We performed a quantitative and qualitative exploration, employing inferential statistics and thematic analysis. Results: The results indicate that chatbots enabling natural language communication enhance communication and collaboration efficiency and improve the user experience. Conclusion: Chatbots need to improve guidance and help for novices, but they appear beneficial for enhancing user experience.
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