Perceived Usability of Collaborative Modeling Tools
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866916369714380800 |
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| author | Ren, Ranci Castro, John W. Acuña, Santiago R. Dieste, Oscar Acuña, Silvia T. |
| author_facet | Ren, Ranci Castro, John W. Acuña, Santiago R. Dieste, Oscar Acuña, Silvia T. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_14088 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Perceived Usability of Collaborative Modeling Tools Ren, Ranci Castro, John W. Acuña, Santiago R. Dieste, Oscar Acuña, Silvia T. Human-Computer Interaction Software Engineering 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. |
| title | Perceived Usability of Collaborative Modeling Tools |
| topic | Human-Computer Interaction Software Engineering |
| url | https://arxiv.org/abs/2408.14088 |