Multiple data - single visualization
Reference number | |
Coordinator | RISE Research Institutes of Sweden AB - RISE Research Institutes of Sweden AB, Västerås |
Funding from Vinnova | SEK 500 000 |
Project duration | October 2018 - March 2019 |
Status | Completed |
Venture | Strategic innovation programme for process industrial IT and automation – PiiA |
Call | SIP PiiA Summer 2018 - Feasibility Studies |
Important results from the project
The purpose of the feasibility study was to investigate possibilities to find concepts for visualisation of multiple data in a comprehensive way. The project activities are documented through persona and scenario descriptions based on user studies with domain experts, state-of-the-art demonstrating a selection of visualizations techniques, concepts that correspond to the identified needs and mock-up of a potential solution. An application for a continuation Project will be submitted to PiiA´s call spring 2019.
Expected long term effects
The project identified needs and requirements for a future visualization concept of multi-dimensional data and provided suggestions for solutions that correspond to the identified needs. The concept proposed has the potential of being generalized to other industries and can open new ways exploring high-dimensional data which can contribute to strengthening the competitiveness of the Swedish process industry. The expected continuation project will prototype demonstrators of the use cases selected during the feasibility study to create a more advanced solution.
Approach and implementation
During the project, continuous contextual interviews were conducted with domain experts in combination with data collection to identify the user needs and obtain an overall understanding of data. Based on these needs and requirements, as well as a thorough state-of-the-art study of visualizations, different concepts were developed that resulted in a final mock-up solution. Together with participating partner, a use case has been selected where a advanced solution can make most impact.