Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3027063.3048433acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

The Effects of User Adaptability to Automation for a Robotic Art Box

Published: 06 May 2017 Publication History

Abstract

This experiment is looking to expand the knowledge about the idea that a robot can help increase the productivity of an individual performing a task, the robot's behavior can influence performance. This experiment uses a robot with remote controlled wheels that was hidden inside an art box. The approach taken to test the hypothesis was to separate users in three groups, each of these characterized by a unique form in which the robot would interact with the subjects. The three groups were categorized by its interaction mode: Proactive, Reactive and Manual. The first group found a robot that interacted with them in an insistent way, the second one only when the subject completed a task and the third one when the user explicitly requested its assistance. The experiment results are meaningful, because although there's no significant difference regarding quality of work between modes, there exists a difference in time of completion of the task, which is proof of a change in efficiency.

References

[1]
I. Scott MacKenzie. 2013. Human-Computer Interaction: An Empirical Research Perspective (1st ed.). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
[2]
Yang, S., Mok, B., Sirkin, D., Ive, H., Maheshwari, R., Fischer, K., Ju, W. Experiences Developing Socially Acceptable Interactions for a Robotic Trash Barrel. In Proceedings of Robot and Human Interactive Communication (RO-MAN 2015). August 31-September 3, 2015. Kobe, Japan.
[3]
Fischer, K., Yang, S., Mok, B., Maheshwari, R., Sirkin, D. & Ju, W. Initiating Interactions and Negotiating Approach: A Robotic Trash Can in the Field. In AAAI Spring Symposium on Turn-taking and Coordination in Human Machine Interaction. Palo Alto, CA. 23--25 March 2015.
[4]
Martelaro, N., Nneji, V., Ju, W., Hinds, P. Tell Me More: Designing HRI to encourage more trust, disclosure and companionship. Human Robot Interaction (HRI 2016). March 7--10, 2016. Christchurch, New Zealand.
[5]
Neidlinger, K., & Ju, W., Sound Bending:Talking Bodies Quantum Sound Suits. In Design, User Experience, and Usability. User Experience Design for Diverse Interaction Platforms and Environments, Lecture Notes in CS Vol 8518, 2014 (pp. 598--605). Springer International Publishing.
[6]
Morales, C. HCI LCSv Robot Experiment. 2017.
[7]
Statisticslectures.com. (2017). Free Pearson's r Hypothesis Test Calculator. {online} Available at: http://www.statisticslectures.com/calculators/pearsonrhypothesis/{Accessed 8 Dec. 2016}.
[8]
Statisticslectures.com. (2017). Free BetweenSubjects ANOVA Calculator. {online} Available at: http://www.statisticslectures.com/calculators/anovabetween/{Accessed 8 Dec. 2016}.
[9]
Socscistatistics.com. (2017). Chi-Square Test Calculator - Up To 5 x 5 Contingency Table. {online} Available at: http://www.socscistatistics.com/tests/chisquare2/Default2.aspx {Accessed 9 Dec. 2016}.

Cited By

View all
  • (2020)Let’s Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human–Robot Interaction at WorkHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/001872082096643364:6(1027-1050)Online publication date: 11-Nov-2020

Index Terms

  1. The Effects of User Adaptability to Automation for a Robotic Art Box

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    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.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 May 2017

    Check for updates

    Author Tags

    1. Gesell dome
    2. Wizard of Oz
    3. art box
    4. automation
    5. interaction
    6. robot

    Qualifiers

    • Extended-abstract

    Conference

    CHI '17
    Sponsor:

    Acceptance Rates

    CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 11 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2020)Let’s Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human–Robot Interaction at WorkHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/001872082096643364:6(1027-1050)Online publication date: 11-Nov-2020

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media