Other-Oriented Robot Deception: A Computational Approach for Deceptive Action Generation to Benefit the Mark
Arkin, Ronald C.
MetadataShow full item record
Social robots can benefit by adding deceptive capabilities. In particular, robotic deception should benefit the deceived human partners when used in the context of human-robot interaction (HRI). We define this kind of robotic deception as a robot’s other-oriented deception and aimed to add these capabilities to the robotic systems. Toward that end, we develop a computational model inspired by criminological definition of deception. In this paper, we establish a definition of other-oriented robotic deception in HRI and present a novel model that can enable a humanoid robot to autonomously generate other-oriented deceptive actions during the interaction.
Showing items related by title, author, creator and subject.
Smith, Brian Stephen (Georgia Institute of Technology, 2009-03-31)We present automatic tools for configuring and deploying multi-robot networks of decentralized, mobile robots. These methods are tailored to the decentralized nature of the multi-robot network and the limited information ...
Moshkina, Lilia; Arkin, Ronald C. (Georgia Institute of Technology, 2009)No longer does the idea of robot emotions seem far-fetched; not their experiential side, of course, but rather those manifestations of emotion, especially in robots created in human likeness, which would be beneficial for ...
O'Hara, Keith Joseph (Georgia Institute of Technology, 2011-08-03)Like computer architects, robot designers must address multiple, possibly competing, requirements by balancing trade-offs in terms of processing, memory, communication, and energy to satisfy design objectives. However, ...