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#naorobot: exploring Nao discourse on Twitter

Published: 29 November 2016 Publication History

Abstract

The Nao robot from Aldebaran Robotics is a fairly popular humanoid robot. In this study, we aimed to conduct a discourse analysis around the Nao through content analysis of posts on Twitter (N=235 tweets in English). The analysis aimed to understand discourse around the robot, the usage trends of the robot, the existence of social relationships between user and robot and if there were any patterns in tweeting. Our main results show that the Nao is attributed with high anthropomorphism and social rapport and the popular usages of the robot extend to research and education but not to health and domestic applications. In conclusion, we speculate on our results obtained and present a direction for future research.

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Cited By

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  • (2022)Using Online Customer Reviews to Classify, Predict, and Learn About Domestic Robot FailuresInternational Journal of Social Robotics10.1007/s12369-022-00929-316:6(1105-1130)Online publication date: 29-Nov-2022
  • (2021)Perceived Service Quality in HRI: Applying the SERVBOT FrameworkFrontiers in Robotics and AI10.3389/frobt.2021.7466748Online publication date: 3-Nov-2021
  • (2021)Implementation of a Humanoid Robot as an Innovative Approach to Child Life Interventions in a Children’s Hospital: Lofty Goal or Tangible Reality?Frontiers in Psychology10.3389/fpsyg.2021.63939412Online publication date: 19-Apr-2021
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    cover image ACM Other conferences
    OzCHI '16: Proceedings of the 28th Australian Conference on Computer-Human Interaction
    November 2016
    706 pages
    ISBN:9781450346184
    DOI:10.1145/3010915
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • IEEE-SMCS: Systems, Man & Cybernetics Society
    • Australian Comp Soc: Australian Computer Society
    • Data61: Data61, CSIRO
    • ICACHI: International Chinese Association of Computer Human Interaction
    • Infoxchange: Infoxchange
    • HITLab AU: Human Interface Technology Laboratory Australia
    • James Boag: James Boag
    • Tourism Tasmania: Tourism Tasmania
    • HFESA: Human Factors and Ergonomics Society of Australia Inc.
    • IEEEVIC: IEEE Victorian Section
    • UTAS: University of Tasmania, Australia

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 November 2016

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    Author Tags

    1. Nao robot
    2. Twitter
    3. content analysis
    4. discourse analysis

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    • Short-paper

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    OzCHI '16
    Sponsor:
    • IEEE-SMCS
    • Australian Comp Soc
    • Data61
    • ICACHI
    • Infoxchange
    • HITLab AU
    • James Boag
    • Tourism Tasmania
    • HFESA
    • IEEEVIC
    • UTAS
    OzCHI '16: The 28th Australian Conference on Human-Computer Interaction
    November 29 - December 2, 2016
    Tasmania, Launceston, Australia

    Acceptance Rates

    Overall Acceptance Rate 362 of 729 submissions, 50%

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    Cited By

    View all
    • (2022)Using Online Customer Reviews to Classify, Predict, and Learn About Domestic Robot FailuresInternational Journal of Social Robotics10.1007/s12369-022-00929-316:6(1105-1130)Online publication date: 29-Nov-2022
    • (2021)Perceived Service Quality in HRI: Applying the SERVBOT FrameworkFrontiers in Robotics and AI10.3389/frobt.2021.7466748Online publication date: 3-Nov-2021
    • (2021)Implementation of a Humanoid Robot as an Innovative Approach to Child Life Interventions in a Children’s Hospital: Lofty Goal or Tangible Reality?Frontiers in Psychology10.3389/fpsyg.2021.63939412Online publication date: 19-Apr-2021
    • (2020)Using Customers' Online Reviews to Identify and Classify Human Robot Interaction Failures in Domestic RobotsCompanion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3371382.3378323(251-253)Online publication date: 23-Mar-2020
    • (2020)Robots in the Danger ZoneProceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3319502.3374789(93-102)Online publication date: 9-Mar-2020
    • (2019)Robot’s adaptive emotional feedback sustains children’s social engagement and promotes their vocabulary learning: a long-term child–robot interaction studyAdaptive Behavior10.1177/1059712319844182(105971231984418)Online publication date: 6-May-2019
    • (2018)Absorbability, applicability and availability in nursing and care robots: A thematic analysis of Twitter postingsTelematics and Informatics10.1016/j.tele.2018.04.00135:5(1553-1560)Online publication date: Aug-2018
    • (2018)Social Robots in Public Spaces: A Meta-reviewSocial Robotics10.1007/978-3-030-05204-1_21(213-220)Online publication date: 27-Nov-2018
    • (2017)An Image Based Non-verbal Behaviour Analysis of HRISocial Robotics10.1007/978-3-319-70022-9_3(23-31)Online publication date: 24-Oct-2017

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