Decision Aware Human AI Collaboration for Industrial Digital Products
| Reference number | |
| Coordinator | Mittuniversitetet - Institutionen för kommunikation, kvalitetsteknik och informationssystem (KKI) |
| Funding from Vinnova | SEK 3 162 000 |
| Project duration | April 2026 - April 2028 |
| Status | Ongoing |
| Venture | Advanced digitalization - Industrial needs-driven innovation |
| Call | Industrial applied AI by advanced digitalization 2026 |
Purpose and goal
The project investigates how AI-supported work environments can support decision awareness and decision quality in industrial software development. In collaboration with Volvo Group, the project studies how micro-decisions and hidden decisions emerge when different professional roles work with generative and agentic AI. The aim is to build empirically grounded knowledge and design principles that support transparent and traceable human-AI collaboration in complex software-based products.
Expected effects and result
The project is expected to deliver empirical insights into how micro-decisions and hidden decisions emerge in AI-supported workflows, along with design principles for role-adaptive decision support. The results may strengthen Swedish industry’s ability to use AI in a traceable, trustworthy, and responsible way, particularly in complex industrial development environments. Academic publications and practitioner-oriented guidelines are planned to be openly available.
Planned approach and implementation
The project follows a design science approach in four phases: empirical understanding of the problem, iterative artifact development, evaluation in an industrial context, and knowledge synthesis and dissemination. An initial qualitative study with Volvo Group examines challenges and opportunities as different professional roles begin working with generative and agentic AI. Findings from each phase are refined through workshops, field studies, and co-design with practitioners.