deception

Development of a representation for detecting and reasoning about deception

It is easy to see that social robots will need the ability to detect and evaluate deceptive speech; otherwise they will be vulnerable to manipulation by malevolent humans. More surprisingly, we argue that effective social robots must also be able to produce deceptive speech.

We argue that distinguishing between types of deception is required to generate successful action. We introduce a Framework for Identifying Deceptive Entities and demonstrate that it has the representational power to discriminate categories of deception.

We introduce a practical, computational framework that enables socially aware inference. We then demonstrate the framework’s ability to model a common, complex, and under-investigated aspect of human social behavior: deception.