Robot-Supported Information Search: Which Conversational Interaction Style do Children Prefer?

Suyash Sharma, Thomas Beelen*, Khiet P. Truong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Searching via speech with a robot can be used to better support children in expressing their information needs. We report on an exploratory study where children (N=35) worked on search tasks with two robots using different interaction styles. One system posed closed, yes/no questions and was more system-driven while the other system used open-ended questions and was more user-driven. We studied children's preferences and experiences of these interaction styles using questionnaires and semi-structured interviews. We found no overall strong preference between the interaction styles. However, some children reported task-dependent preferences. We further report on children's interpretation and reasoning around interaction styles for robots supporting information search.
Original languageEnglish
Title of host publicationHRI '23
Subtitle of host publicationCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
Place of PublicationNew York, NY
PublisherACM Publishing
Pages466–470
Number of pages5
ISBN (Electronic)9781450399708
ISBN (Print)978-1-4503-9970-8
DOIs
Publication statusPublished - 13 Mar 2023

Fingerprint

Dive into the research topics of 'Robot-Supported Information Search: Which Conversational Interaction Style do Children Prefer?'. Together they form a unique fingerprint.

Cite this