For the most part, robots are a mystery to end users. And that’s part of the point: Robots are autonomous, so they’re supposed to do their own thing (presumably the thing that you want them to do) and not bother you about it. But as humans start to work more closely with robots, in collaborative tasks or social or assistive contexts, it’s going to be hard for us to trust them if their autonomy is such that we find it difficult to understand what they’re doing.
In a paper published in Science Robotics, researchers from UCLA have developed a robotic system that can generate different kinds of real-time, human-readable explanations about its actions, and then did some testing to figure which of the explanations were the most effective at improving a human’s trust in the system. Does this mean we can totally understand and trust robots now? Not yet—but it’s a start.