An imperfectly perfect robot: Discovering interaction design strategy for learning companion

Hyun Young Kim, Bomyeong Kim, Soojin Jun, Jinwoo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Human-likeness plays one of the most important roles in the long-term relationship between a robot and human. However, most of the existing studies have not designed human-like imperfection that is frequently observed by humans towards robots or agents. In our research, through questionnaires and interviews, we confirmed that when designing a robot or agent that plays a learning companion role, the imperfect elements of the robot or agent act positively on the long-term relationship with the user, and we will verify this with future experiments.

Original languageEnglish
Title of host publicationHRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages165-166
Number of pages2
ISBN (Electronic)9781450348850
DOIs
Publication statusPublished - 2017 Mar 6
Event12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 - Vienna, Austria
Duration: 2017 Mar 62017 Mar 9

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Other

Other12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017
CountryAustria
CityVienna
Period17/3/617/3/9

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, H. Y., Kim, B., Jun, S., & Kim, J. (2017). An imperfectly perfect robot: Discovering interaction design strategy for learning companion. In HRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 165-166). (ACM/IEEE International Conference on Human-Robot Interaction). IEEE Computer Society. https://doi.org/10.1145/3029798.3038360