Situation awareness based communication timing for real-time Human-Robot interaction

摘要

In this paper, we develop an Artificial Intelligence (AI) which gives advice to a video game player. In everyday life there are a lot of tasks for which robots could help humans. However, to be spoken to is a nuisance when one is focusing. Through an experiment where humans play with the support of the AI we measure the impact of the "cognitive load" evaluation. The "cognitive load" represents the busyness of the player and from this the AI can decide what is the best timing to communicate the advice as well as the relevant level of detail.