Towards FAIR Explainable AI: a standardized ontology for mapping XAI solutions to use cases, explanations, and AI systems

Several useful taxonomies have been published that survey the eXplainable AI (XAI) research field. However, these taxonomies typically do not show the relation between XAI solutions and several use case aspects, such as the explanation goal or the task context. In order to better connect the field of XAI research with concrete use cases and user...

Intelligent Operator Support Concepts for Shore Control Centers

This paper introduces three intelligent operator support functions to allow multiple operators to effectively and efficiently supervise multiple autonomous operations. The many-to-many concept assumes a stage in human-automation collaboration design where supervision of maritime autonomous surface ships is not permanently required anymore. Only...

Connecting AI and HMT innovations: SAIL

Intelligent autonomous vehicles with an extendable knowledge base under meaningful human control

Intelligent robotic autonomous systems (unmanned aerial/ground/surface/underwater vehicles) are attractive for military application to relieve humans from tedious or dangerous tasks. These systems require awareness of the environment and their own performance to reach a mission goal. This awareness enables them to adapt their operations to...

An intelligent operator support system for dynamic positioning

This paper proposes a human-centered approach to Dynamic Position-ing systems which combines multiple technologies in an intelligent operator sup-port system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls the operator to return to his bridge position....

Human robot team development: An operational and technical perspective

Turning a robot into an effective team-player requires continuous adaptation during its lifecycle to human team-members, tasks, and the technological environment. This paper proposes a concept for human-robot team development over longer periods of time and discusses technological and operational implications. From an operational perspective, we...

The design and validation of an intuitive confidence measure

Explainable AI becomes increasingly important as the use of intelligent systems becomes more widespread in high-risk domains. In these domains it is important that the user knows to which degree the system’s decisions can be trusted. To facilitate this, we present the Intuitive Confidence Measure (ICM): A lazy learning meta-model that can...

A feasible BCI in real life: Using predicted head rotation to improve HMD imaging

While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD)....

A feasible BCI in real life: Using predicted head rotation to improve HMD imaging

While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD)....

An intelligent operator support system for Dynamic positioning

This paper proposes a human-centered approach to Dynamic Positioning systems which combines multiple technologies in an intelligent operator support system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls the operator to return to his bridge position. In...