Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transparency of machine learning models. More recently, the focus on human-centered approaches to XAI has increased. Yet, there is a lack of practical methods and examples on the integration of human factors into the development processes of AI-generated...

Design patterns for an interactive storytelling robot to support children's engagement and agency

In this paper we specify and validate three interaction design patterns for an interactive storytelling experience with an autonomous social robot. The patterns enable the child to make decisions about the story by talking with the robot, reenact parts of the story together with the robot, and recording self-made sound effects. The design...

A child and a robot getting acquainted-interaction design for eliciting self-disclosure

In order to facilitate a sustainable long-term interaction between a child and a robot they need to get acquainted with one another. In this paper we discuss the foundation, the rationale, and the evaluation (N = 75) of our design for an autonomous robot conversational partner that engages with Dutch children (8-11 y.o.) in a getting acquainted...

Getting Acquainted for a Long-Term Child-Robot Interaction

We are developing a social robot that should autonomously interact long-term with pediatric oncology patients. The child and the robot need to get acquainted with one another before a long-term interaction can take place. We designed five interaction design patterns and two sets of robot behaviors to structure a getting acquainted interaction....

Using perceptual and cognitive explanations for enhanced human-agent team performance

Interaction design patterns for coherent and re-usable shape specifications of human-robot collaboration

Sharing and re-using design knowledge is a challenge for the diverse multi-disciplinary research and development teams that work on complex and highly automated systems. For this purpose, a situated Cognitive Engineering (sCE) methodology was proposed that specifies and assesses the functional user requirements with their design rationale in a...