Big Data-Powered End User Function Development (BIG FUN)
| Reference number | |
| Coordinator | Högskolan i Halmstad - Högskolan i Halmstad Akademin f informationsteknologi |
| Funding from Vinnova | SEK 3 129 352 |
| Project duration | June 2022 - December 2024 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | Electronics, software and communication - FFI - December 2021 |
Important results from the project
The project achieved its objectives to use ML and UX to improve the design of commercial vehicles. BIG FUN integrated data from multiple sources to identify key insights and developed AI tool prototypes to support designers. Key results include improved human-AI collaboration, new methods for data and design integration, that contribute to sustainability and safety in commercial mobility. This knowledge strengthens Sweden´s competitiveness in the automotive industry.
Expected long term effects
The project serves as a knowledge gateway of how AI and ML supported methods can be used in design work to increase knowledge about how users utilize different product functions in relation to the driving tasks they have during freight transport.
Approach and implementation
The BIG FUN project was divided into two tracks: ML development, where algorithms were trained to highlight events of interest, and UX design, where user requirements were collected and interfaces were designed for ML-powered design work. The UX track was on schedule and delivered as expected, while the ML track was delayed by a slower start-up. Despite these challenges, the project delivered results and also improved data pipelines, which will facilitate future ML work.