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abstract

Age-related Differences in Children's Associations and Preferences for a Robot's Gender

Published:01 March 2018Publication History

ABSTRACT

In order to establish social and bonding relationships with children, robots need to be able to adapt to a variety of users of different age and gender groups in order to keep them engaged and motivated. To this end, this research examines the responses of 107 children, ages 5 to 12, who interacted with humanoid robot NAO that communicated with synthesized female and male voices. Our results show young children (ages 5 to 8) were not able to successfully attribute gender to the robot in correspondence with the synthesized voice. In addition, we explicitly investigated children»s preferences for the robot»s gender: younger children indicated their preference for a robot with a matching gender while there was no difference in preferences for a robot»s gender by older children (ages 9 to 12).

References

  1. Carol J Auster and Claire S Mansbach. 2012. The gender marketing of toys: An analysis of color and type of toy on the Disney store website. Sex Roles 67, 7--8 (2012), 375--388.Google ScholarGoogle ScholarCross RefCross Ref
  2. Jeffrey Johnson. 2003. Children, robotics, and education. Artificial Life and Robotics 7, 1--2 (2003), 16--21.Google ScholarGoogle ScholarCross RefCross Ref
  3. Takayuki Kanda, Takayuki Hirano, Daniel Eaton, and Hiroshi Ishiguro. 2004. Interactive robots as social partners and peer tutors for children: a field trial. Hum.-Comput. Interact. 19, 1 (June 2004), 61--84. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Eun Ju Lee, Clifford Nass, and Scott Brave. 2000. Can Computer-generated Speech Have Gender?: An Experimental Test of Gender Stereotype. In CHI '00 Extended Abstracts on Human Factors in Computing Systems (CHI EA '00). ACM, New York, NY, USA, 289--290. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Kwan Min Lee. 2004. The multiple source effect and synthesized speech. Human communication research 30, 2 (2004), 182--207.Google ScholarGoogle Scholar
  6. Clare M. Mehta and JoNell Strough. 2009. Sex segregation in friendships and normative contexts across the life span. Developmental Review 29, 3 (2009), 201 -- 220.Google ScholarGoogle ScholarCross RefCross Ref
  7. Diane N. Ruble, Carol Lynn Martin, and Sheri A. Berenbaum. 2007. Gender Development. John Wiley & Sons, Inc.Google ScholarGoogle Scholar
  8. Anara Sandygulova, Mauro Dragone, and Gregory M.P. O'Hare. 2014. Investigating the Impact of Gender Development in Child-robot Interaction. In Proceedings of the 3rd International Symposium on New Frontiers in Human-Robot Interaction at AISB 2014. Goldsmiths College, London, UK, 6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Anara Sandygulova and Gregory MP O'Hare. 2015. Children's Perception of Synthesized Voice: Robot's Gender, Age and Accent. In Social Robotics. Springer International Publishing, 594--602.Google ScholarGoogle Scholar
  10. Anara Sandygulova and Gregory MP O'Hare. 2016. Investigating the impact of gender segregation within observational pretend play interaction. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 399--406. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Mark Scheeff, John Pinto, Kris Rahardja, Scott Snibbe, and Robert Tow. 2002. Experiences with Sparky, a social robot. Socially Intelligent Agents (2002), 173-- 180.Google ScholarGoogle Scholar
  12. Fang-Wu Tung. 2011. Influence of Gender and Age on the Attitudes of Children towards Humanoid Robots. In Human-Computer Interaction. Users and Applications, JulieA. Jacko (Ed.). Lecture Notes in Computer Science, Vol. 6764. Springer Berlin Heidelberg, 637--646. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
        March 2018
        431 pages
        ISBN:9781450356152
        DOI:10.1145/3173386

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 March 2018

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        HRI '18 Paper Acceptance Rate49of206submissions,24%Overall Acceptance Rate192of519submissions,37%

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