WP 3 Innovation leads

Completed WP3 innovation leads

Completed WP3 innovation leads

OpenCrane Design System

OpenCrane Design System

Researcher/ Supervisor: Taufik Akbar Sitompul/ Ole Andreas Alsos

Postdoc Taufik Sitompul.

Problem: No standardized User Interfaces (UI) for cranes is available, hence significantly different UIs exists even for the same type of cranes. This increased cost of UI development and challenges crane operators with varieties of Uis hence increasing likelihood of human errors.

Solution: OpenCrane Design System offers opensource UI elements for operating cranes that everyone could use, adapt, and distribute at no cost. The UI elements will serve as building blocks that everyone could freely choose, use, and adapt depending on their needs.

Purpose & Value: Enabling design of User Interfaces for remote operated cranes.

The images that visualize how the UI elements in OpenCrane Design System were evaluated with crane operators.

AI Decision transparency

AI Decision transparency

Researcher/ Supervisor: Andreas Madsen/ Magne Arset

PhD Andreas Madsen.

Problem: For a ship navigator the decisions or suggestions made by an AI based autonomous navigation system lack transparency. Lack of system understanding and collaboration between the navigator and the system may influence the navigator's situational awareness and influence basis for decisions by the navigator.

Solution: Strategies for AI decision transparency and guidelines for the human-machine collaboration in collision avoidance situations.

Purpose & Value: The results provides valuable insights for HMI developers and those responsible for approving algorithms and may contribute to guidelines for testing both algorithms and human interaction with AI based navigation systems.

Protoype of transparency layers on ECDIS. Conceptualization by Andreas Madsen NTNU Ålesund. Design Jooyoung Park NTNU, Shore Control Lab

Vessel guidance decision support systems

Vessel guidance decision support systems

Researcher/ Supervisor: Luka Grgičević/ Erlend Coates

PhD Luka Grgičević.

Problem: Vessels navigating in high-density traffic aim to achieve objectives such as effective collision and grounding avoidance while adhering to international, regional, and port regulations. The increasing traffic density poses a significant challenge for decision-makers, whether human navigators or autonomous intelligent systems.

Solution: Decision support method for vessel guidance for multi-vessel scenarios. Traffic management solution provided by the Vessel Traffic Service or other centers for coordination, such as Remote Operating Centre.

Purpose & Value: A vessel independent and centralised decision support system contributing to increased safety in highdensity traffic areas.

Increase Situational Awareness of Operators in Remote Operation Centres

Increase Situational Awareness of Operators in Remote Operation Centres

Researcher/ Supervisor: Felix Petermann/ Ole Andreas Alsos

PhD Felix-Marcel Petermann.

Problem: As operations increasingly transition to remote operation centres and shore-based operators, vital information traditionally available to onboard operators are now consolidated remotely. These elements are crucial for maintaining proper situational awareness and ensuring the safe operation of a vessel. Furthermore traditional alarm systems, characterized by standard beeping sounds may lack informative value.

Solution: The solution employs a variety of modalities to enhance situational awareness for operators both on ship bridges and in control rooms. Traditional alarm systems are replaced with innovative technologies (sound, motions, camera) are leveraged and integrated to simplify complex data into easily understandable interfaces

Purpose & Value: The results can be utilized in different separate products and transferred into design guidelines and recommendations for future equipment. Elements of the solution has higher maturity, while the integrated solution still is on a conceptual stage.

Concept of a new operator station.

Touchpoints between humans and autonomous systems in the ecosystem of autonomous passenger ferries

Touchpoints between humans and autonomous systems in the ecosystem of autonomous passenger ferries

Researcher/Supervisor: Felix Petermann/ Ole Andreas Alsos

PhD Felix-Marcel Petermann.

Problem: Unlike conventional ferries with human crew providing guidance and assistance, autonomous ferries rely on digital interfaces, signage, and automated processes to facilitate passenger experience. Gaps in communication, accessibility, and transparency can create uncertainty, hence reduced trust and usability of autonomous ferries.

Solution: A combination of several solutions aimed at improving passenger experience in autonomous ferry operations. Elements include smart passenger gate, human-facing explanatory information interface and different touchpoint concepts.

Purpose & Value: Improve user understanding, trust, and overall experience for passengers in autonomous ferry operations.

Different touchpoints a passenger might encounter when travelling with an autonomous passenger ferry.