Enviar artigo por via de e-mail Development of a Model for Selecting the Visualization of Joint Problem Solving Process in a Human-Machine Cloud
- Autores: Smirnov A.V.1, Shevchik S.V.1, Teslya N.N.1
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Afiliações:
- St. Petersburg Federal Research Center of the Russian Academy of Sciences
- Edição: Nº 3 (2023)
- Páginas: 45-58
- Seção: Optimal and Rational Choice
- URL: https://journal-vniispk.ru/2071-8594/article/view/270341
- DOI: https://doi.org/10.14357/20718594230305
- ID: 270341
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Resumo
To organize the interaction of experts in the joint solution of problems, digital platforms are increasingly used. They provide many opportunities for structuring tasks, attracting experts, assessing the competencies of experts and managing the process of joint problem solving. However, when managing the solution process, the question of choosing a visualization that provides simplicity and visibility of progress remains open. The paper analyzes the most common visualizations for managing the problem solving process, evaluates their advantages and disadvantages in relation to typical tasks available on existing services for joint problem solving. The result of the work is a model for evaluating and comparing visualizations of the problem solving process to make a choice of visualization for use on a platform for collaborative problem solving in a human-machine cloud.
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Sobre autores
Alexander Smirnov
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Autor responsável pela correspondência
Email: smir@iias.spb.su
Doctor of technical sciences, professor, honored scientist of the Russian Federation. Head of the Laboratory of Integrated Automation Systems; chief researcher
Rússia, St. PetersburgSofia Shevchik
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Email: msumsk15@gmail.com
Programmer
Rússia, St. PetersburgNikolay Teslya
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Email: teslya@iias.spb.su
Candidate of technical sciences. Senior researcher
Rússia, St. PetersburgBibliografia
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