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Computer Science > Human-Computer Interaction

arXiv:2408.14088 (cs)
[Submitted on 26 Aug 2024]

Title:Perceived Usability of Collaborative Modeling Tools

Authors:Ranci Ren, John W. Castro, Santiago R. Acuña, Oscar Dieste, Silvia T. Acuña
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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.
Subjects: Human-Computer Interaction (cs.HC); Software Engineering (cs.SE)
Cite as: arXiv:2408.14088 [cs.HC]
  (or arXiv:2408.14088v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2408.14088
Journal reference: Journal of Systems and Software 205, 2023. p. 111807
Related DOI: https://doi.org/10.1016/j.jss.2023.111807

Submission history

From: Oscar Dieste [view email]
[v1] Mon, 26 Aug 2024 08:19:23 UTC (842 KB)
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