Email this article Development of a Model for Selecting the Visualization of Joint Problem Solving Process in a Human-Machine Cloud
- Authors: Smirnov A.V.1, Shevchik S.V.1, Teslya N.N.1
-
Affiliations:
- St. Petersburg Federal Research Center of the Russian Academy of Sciences
- Issue: No 3 (2023)
- Pages: 45-58
- Section: Optimal and Rational Choice
- URL: https://journal-vniispk.ru/2071-8594/article/view/270341
- DOI: https://doi.org/10.14357/20718594230305
- ID: 270341
Cite item
Full Text
Abstract
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.
Full Text
About the authors
Alexander V. Smirnov
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Author for correspondence.
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
Russian Federation, St. PetersburgSofia V. Shevchik
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Email: msumsk15@gmail.com
Programmer
Russian Federation, St. PetersburgNikolay N. Teslya
St. Petersburg Federal Research Center of the Russian Academy of Sciences
Email: teslya@iias.spb.su
Candidate of technical sciences. Senior researcher
Russian Federation, St. PetersburgReferences
- Golikova G.V., Balaeva L.V. Instrumenty` upravleniya virtual`ny`mi komandami: osobennosti i napravleniya ispol`zovaniya [Virtual Team Management Tools: Main Features and Directions of Use] // Proceedings of the South-west State University. Series: Economics. Sociology. Management. 2022. V. 12. No 4. P. 92-104.
- Kashirina A.M. Infografika kak sredstvo vizualizacii biznes-idej [Infographics as a visualization tool for business ideas] // Science almanac. 2016. V. 10-1, No 24. P. 159-162.
- Dmitriev N.A., Avlasevich D.V., Kirillov A.A., Bachinsky A.G. Koncepcii upravleniya proektami [Project management concepts] // Young scientists forum. 2020. V. 3(43). P. 128-133.
- Zaripov R.R. Osobennosti metodov upravleniya realizaciej proektov [Feratures of project management methods] // Bulletin of the Moscow International Academy. 2022. V. 2. P. 106-111.
- Rustamova A. V., Antonova N. L. Tajm-menedzhment, kak sposob povy`sheniya e`ffektivnosti ispol`zovaniya chelovecheskikh resursov predpriyatiya [Time management as a way to improve the efficiency of the use of human resources of an enterprise] // Modern Science. 2020. V. 5-3. P. 156-161.
- Gavrilova T.A., Kudryavcev D.V., Leshheva I.A. and Pavlov Ya.Yu. Ob odnom metode klassifikacii vizual`ny`x modelej [One method for classifying visual models] // Business informatics. 2013. No 4(26). P. 21-34.
- Scott-Hill B., Anslow C., Ferreira J., Kropp M., Mateescu M., Meier A. Visualizing Progress Tracking for Software Teams on Large Collaborative Touch Displays // In Proceedings of the 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). 2020. P. 1-5.
- Paredes J., Anslow C., Maurer F. Information Visualization for Agile Software Development // 2014 Second IEEE Working Conference on Software Visualization. 2014. P. 157-166.
- Yandeks.Toloka dlya zakazchikov [Yandex.Toloka for customers]. URL: https://toloka.ai/ru (accessed 10.07.2023).
- Danilova E. Worker’s Motivation and Planning Strategies on Crowdsourcing Platforms. The Case of Yandex Toloka//International Conference on Digital Transformation and Global Society. – Springer, Cham, 2022. P. 536-544.
- Simpson R., Page K.R., De Roure D. Zooniverse: observing the world's largest citizen science platform //Proceedings of the 23rd international conference on world wide web. 2014.P. 1049-1054.
- Lintott C., Team Z. Discovery, robots and big surveys: Zooniverse in the 2020s //American Astronomical Society Meeting Abstracts. 2023. V. 55. No 2. P. 140.05.
- Zooniverse: URL: https://www.zooniverse.org/ (accessed 05.07.2023).
- Amazon Mechanical Turk URL: https://www.mturk.com/ (accessed 05.07.2023)
- Aha! – https://aha.io/ (accessed 10.07.23)
- ClickUp – https://clickup.com (accessed 10.07.2023)
- Lalović K., Tomanovic G. Project Management Software– Presenting Advantages Using Clickup On A High Scale Projects // YU Info 2023 - IT conference. 2023
- Nakazawa S., Tanaka T. Development and application of Kanban tool visualizing the work in progress //2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). 2016. P. 908-913.
- Cai H., Lin L., Gu X. Using a semantic diagram to structure a collaborative problem solving process in the classroom//Educational Technology Research and Development. 2016. V. 64. No 6. P. 1207-1225.
Supplementary files
