Augmented Robotics Dialog System for Enhancing Human–Robot Interaction

摘要: Augmented reality, augmented television and second screen are cutting edge technologies that provide end users extra enhanced information related to certain events in real time. This enriched helps better understand such events, at the same time providing a more satisfactory experience. In present paper, we apply this main idea human–robot interaction (HRI), how robots interchange information. The ultimate goal of paper is improve quality HRI, developing new dialog manager system incorporates from semantic web. work presents robotic (ARDS), which uses natural language understanding mechanisms two features: (i) non-grammar multimodal input (verbal and/or written) text; (ii) contextualization conveyed interaction. achieved by enrichment techniques link extracted with about world available knowledge bases. or contextualized (information enrichment, enhancement used interchangeably rest paper) offers many possibilities terms HRI. For instance, it can enhance robot's pro-activeness during (the be propose topics dialog, while ensuring coherent interaction). Another possibility display additional multimedia content on visual device. describes ARDS shows proof concept its applications.