Backchanneling in Human-Robot Interaction

Bliek, Adna (2020) Backchanneling in Human-Robot Interaction. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

During human conversations, information is not only conveyed by the speaker but alsoby the listener. For this, the listener is using backchannel feedback. Backchanneling canbe done verbal or non-verbal and is a key aspect of human conversation, it shows listenerattention and contributes to a more fluent interaction. In recent years, the effect of arobot’s backchanneling while listening to a human has been investigated. But the effectof backchanneling by a human when listening to a robot has been studied poorly. In this thesis, we investigate (1) how a robot’s behavior affects the human’s backchan-neling feedback, (2) whether the amount of backchanneling feedback has an effect on howthe conversation is perceived, and (3) how human backchanneling behavior differs whenlistening to a robot compared to a human. The investigation of human backchanneling isimportant in Human-Robot Interaction to create fluent conversations and to be able touse the feedback of the human listener to adjust the conversation. conducted an experiment looking at the backchanneling cues gaze, gesture, andpauses that were exhibited by a semi-humanoid robot. We found that pauses have asignificant influence on the backchannel behavior of the human. Furthermore, we foundthat backchanneling behavior when listening to a robot or a human differs significantly.

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Taatgen, N.A.
Degree programme:	Artificial Intelligence
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	04 Aug 2020 13:18
Last Modified:	27 Nov 2020 10:27
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/22993

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