Smart topic detection for robot conversation

Elise Russell, Richard J. Povinelli, Andrew B. Williams
2016 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)  
In order for humanoid robots to have believable conversations with humans, the robots will need a reliable method for detecting the topics shared in the interaction to formulate a relevant response. This paper presents a novel application of intelligent indexing and ontology analysis for use in conversational topic detection for human-robot interaction. We evaluate a method for training on a corpus of transcribed phone conversations and using a concept association matrix to determine the
more » ... st common-sense linkages to words in the conversation. This model is placed within the conversation and emotion interface of our humanoid robot, MU-L8, and tested with users. Evaluation is performed both computationally, with the corpus, and perceptually with users, and the promising results are presented in this paper.
doi:10.1109/hri.2016.7451830 dblp:conf/hri/RussellPW16 fatcat:y6nixcxqozfgbn7dako4hghzci