How to Improve Human-Robot Interaction with Conversational Fillers

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How to Improve Human-Robot Interaction with Conversational Fillers

Conference Paper (2016)

Author(s)

Noel Wigdor (TNO)

Joachim de Greeff (TU Delft - Interactive Intelligence)

Rosemarijn Looije (TNO)

Mark A. Neerincx (TNO)

Research Group

Interactive Intelligence

Robots Games Heart rate variability Delays Natural languages Human-robot interaction

DOI related publication

https://doi.org/10.1109/ROMAN.2016.7745134 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:42bc5b47-8587-4e55-bbee-96d94da9d410

More Info

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Publication Year

2016

Language

English

Research Group

Interactive Intelligence

Pages (from-to)

219-224

ISBN (print)

978-1-5090-3930-2

ISBN (electronic)

978-1-5090-3929-6

Event

IEEE RO-MAN 2016 (2016-08-26 - 2016-08-31), New York, United States

Downloads counter

171

Abstract

Conversation Fillers (CFs), such as ‘um’, ‘hmm’, and ‘ah’, may help to improve the human-robot interaction by smoothening the robot’s responses. This paper presents the design and test of such CFs – alongside iconic pensive or acknowledging gestures – for Wizard of Oz (WoZ) controlled open-ended dialogues in child-robot interactions. A controlled experiment with 26 children showed that these CFs can improve the perceived speediness, aliveness, humanness, and likability of the robot, without decreasing perceptions of intelligence,
trustworthiness, or autonomy.