Human explanations are often contrastive, meaning that they do not answer the
indeterminate" Why?" question, but instead" Why P, rather than Q?". Automatically …

To increase trust in systems, engineers strive to create explanations that are as accurate as
possible. However, if the system's accuracy is compromised, providing explanations for its …

Cyber-physical systems (CPS) are increasingly complex and harder for human users to
understand. Integrating explainability methods within their design is a key challenge for their …

Everyday devices like light bulbs and kitchen appliances are now embedded with so many
features and automated behaviors that they have become complicated to actually use. While …

As modern software-intensive systems grow in complexity and autonomy there is a demand
for them to incorporate services that explain their actions. Such explanation services allow …

Abstract A Cyber Physical System (CPS) helps tackle complex problems in various domains,
eg, smart grids or smart buildings. As the complexity of such systems' behaviours often …

Both personalisation and explainability have become popular research topics in social
robotics, each capable of improving human-robot interactions. However, challenges have …