Ask and You Shall Find: How Suggestions by a Conversational Robot Assist Children with Information Search

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

Abstract

With the rapid advancement of AI, we anticipate that children will increasingly turn to conversational search systems instead of traditional search engines. We developed a speech-based conversational robot and tested its effectiveness in helping children formulate queries through suggestions. The study took place in a museum with 48 children. Two ways of providing suggestions were compared. No significant effect was found on children’s suggestion usage, nor on their self-reported attitudes. Additionally, we explored two novel research instruments to measure children’s attitude toward the robot’s actions. We found that children provided significantly more feedback, and more positive feedback, with one of the instruments. Our contributions to developing conversational search technology for children include advancements in conversational search design, the exploration of appropriate research instruments, and suggestions for future work in this field.

Original languageEnglish
Title of host publicationSocial Robotics - 16th International Conference, ICSR + AI 2024, Proceedings
EditorsOskar Palinko, Leon Bodenhagen, John-John Cabibihan, Kerstin Fischer, Selma Šabanović, Katie Winkle, Laxmidhar Behera, Shuzhi Sam Ge, Dimitrios Chrysostomou, Wanyue Jiang, Hongsheng He
PublisherSpringer
Pages417-430
Number of pages14
ISBN (Print)9789819635245
DOIs
Publication statusPublished - 25 Mar 2025
Event16th International Conference on Social Robotics, ICSR 2024 - Odense, Denmark
Duration: 23 Oct 202426 Oct 2024
Conference number: 16

Publication series

NameLecture Notes in Computer Science
Volume15563 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Social Robotics, ICSR 2024
Abbreviated titleICSR 2024
Country/TerritoryDenmark
CityOdense
Period23/10/2426/10/24

Keywords

  • 2025 OA procedure
  • Conversational Robots
  • Evaluation Methods
  • Information Retrieval
  • Spoken Conversational Search
  • Children

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