Development of a model for selecting the visualization of joint problem solving process in a human-machine cloud

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.