Thesis Work - Designing Adaptive Industrial Interfaces with Generative AI
Location, WV
Full-time
Onsite
New Grad
ABB is a global technology leader in electrification and automation, driving the transformation of industries toward greater efficiency and sustainability. This Master’s thesis focuses on how Generative AI can redefine the design of industrial Human-Machine Interfaces (HMIs) to improve user experience through adaptive and context-aware interfaces.
Investigate how generative AI can shape the future of HMIs in industrial process plants, with a focus on adaptive interface configuration and customization.
Gather information about relevant domains, and suitable tools enabling adaptive interface generation.
Collaborate with domain experts (e.g., operators, engineers, designers) to define realistic user scenarios and operational contexts, and conceptual ideas.
The work will involve developing mock-ups or prototypes that showcase dynamic, personalized, and transparent operator experiences, and conducting concept validation with domain experts.
Document findings and contribute to the understanding the opportunities and risks with adaptive HMI generation in industrial settings.
Qualification
Required
Suitable for students in Interaction Design, UX/HCI, Software Engineering, or Computer Science
Interaction design and prototyping (e.g., Figma) or programming and lightweight prototyping (e.g., web apps, dashboards, simulations)
Data visualization and interface/interaction design skills
Curiosity to learn about process control and automation
Most important: ability to create and test mock-ups or prototypes for human–AI interaction
Preferred
AI knowledge is a plus, not required
Benefit
ABB provides electrification and automation solutions for various industries.
