Toward a model for handling noise in human-robot communication

TY - CHAP

T1 - Toward a model for handling noise in human-robot communication

AU - Sklar, Elizabeth Ida

AU - Black, Elizabeth

PY - 2016/7/11

Y1 - 2016/7/11

N2 - Human-robot interaction necessarily involves some means for the parties to communicate with each other. Whereas agent-to-agent communication is typically facilitated through electronic messaging and an agreed-upon language, communicating with humans introduces sources of noise that can disrupt the interaction in multiple ways. Consider that a human has an idea in her head, which she wishes to communicate to someone else. She must first encode this idea using some kind of language, and then transmit it. Does the recipient acquire the complete message and understand the meaning that was intended to be conveyed? The work presented here extends a theoretical model of computational argumentation designed to support human-robot interaction by incorporating a methodology for handling noise in communication. A runningexample illustrates the depth and complexity of the noise issue, and serves to demonstrate the potential of the proposed methodology.

AB - Human-robot interaction necessarily involves some means for the parties to communicate with each other. Whereas agent-to-agent communication is typically facilitated through electronic messaging and an agreed-upon language, communicating with humans introduces sources of noise that can disrupt the interaction in multiple ways. Consider that a human has an idea in her head, which she wishes to communicate to someone else. She must first encode this idea using some kind of language, and then transmit it. Does the recipient acquire the complete message and understand the meaning that was intended to be conveyed? The work presented here extends a theoretical model of computational argumentation designed to support human-robot interaction by incorporating a methodology for handling noise in communication. A runningexample illustrates the depth and complexity of the noise issue, and serves to demonstrate the potential of the proposed methodology.

M3 - Conference paper

BT - Proceedings of the 5th International Workshop on Human-Agent Interaction Design and Models

ER -