skip to main content
10.1145/3371382.3378238acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
abstract

Experimental Investigation on the Influence of Prior Knowledge of a Decision-support Robot for Court Juries

Published: 01 April 2020 Publication History

Abstract

Previous studies in cognitive science have pointed out how the top-down processing of interpersonal cognition plays a role in human interactions, and the same mechanisms are observed in interactions with robots. This study investigates how mental models about the decision-supporting robots used in court will influence jury behavior. A laboratory experiment was conducted using a simple jury decision-making task, where participants play the role of a jury and make decisions regarding the length of the sentence for a particular crime. During the task, a robot with expert knowledge provides suggestions regarding the length of the sentence, based on other similar cases. In one scenario, participants receive a lecture about a case-based reasoning system and proceed to the experiment. Statistical analysis show that there were no significant differences between the conditions however, some participants engaging in the condition with prior knowledge performed with higher conformity.

References

[1]
Buchanan G. B., Headrick, E. T, 1970. Some speculation about artificial intelligence and legal reasoning. Stanford Law Review 23, 1, 40--62.
[2]
Groothuis, M.M., Svensson, J.S., 2000. Expert system support and juridical quality. Frontiers in Artificial Intelligence and Applications 64, 1, 1--10.
[3]
LawGeex, Comparing the Performance of Artificial Intelligence to Human Lawyers in the Review of Standard Business Contracts, lawGeex eBook, 2018, https://www.lawgeex.com/resources/aivslawyer/
[4]
Hayashi Y, and Wakabayashi K, 2017. Can AI become reliable source to support human decision making in a court scene?, CSCW'2017 companion, Portland, OR, USA, (February 2017), 195--198.
[5]
Hayashi Y, Wakabayashi K, Shimojyo S, and Kida Y, 2019. Using decision support systems for juries in court: Comparing the use of real and CG robots, Daegu, Korea, HRI'19 companion, (March, 2019), 556--557.
[6]
Hayashi Y, and Okada R, 2017. Compound effects of expectations and actual behaviors in human-agent interaction: Experimental investigation using the Ultimatum Game, Proceedings of the 39th Annual Conference of the Cognitive Science Society(CogSci2017), 2168--2173.
[7]
Fisk T S, and Taylor E S, 1991. Social cognition. McGraw-Hill Education, New York, NY.
[8]
Hayashi Y, and Wakabayashi K, 2018. Influence of robophobia on decision making in a court scenario: A preliminary experimental investigation using a simple jury task" HRI'18 companion, Chicago, IL, USA, (February 2018), 121--122,
[9]
Watson I, and Marir F, 1994. Case-based reasoning: A review, Knowl. Eng. Rev., 9, (December, 1994)327--354.

Cited By

View all
  • (2023)How Sequential Suggestions from a Robot and Human Jury Influence Decision MakingCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568294.3580101(338-341)Online publication date: 13-Mar-2023
  • (2022)Social robot advisors: effects of robot judgmental fallacies and contextIntelligent Service Robotics10.1007/s11370-022-00438-215:5(593-609)Online publication date: 1-Nov-2022

Index Terms

  1. Experimental Investigation on the Influence of Prior Knowledge of a Decision-support Robot for Court Juries

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
    March 2020
    702 pages
    ISBN:9781450370578
    DOI:10.1145/3371382
    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: 01 April 2020

    Check for updates

    Author Tags

    1. human experimentation
    2. human robot interaction

    Qualifiers

    • Abstract

    Conference

    HRI '20
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 192 of 519 submissions, 37%

    Upcoming Conference

    HRI '25
    ACM/IEEE International Conference on Human-Robot Interaction
    March 4 - 6, 2025
    Melbourne , VIC , Australia

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)How Sequential Suggestions from a Robot and Human Jury Influence Decision MakingCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568294.3580101(338-341)Online publication date: 13-Mar-2023
    • (2022)Social robot advisors: effects of robot judgmental fallacies and contextIntelligent Service Robotics10.1007/s11370-022-00438-215:5(593-609)Online publication date: 1-Nov-2022

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media