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Punishable AI: Examining Users' Attitude Towards Robot Punishment

Published: 03 July 2020 Publication History

Abstract

To give robots, which are black box systems for most users, feedback we have to implement interaction paradigms that users understand and accept, for example reward and punishment. In this paper we present the first HRI experience prototype which implements gradual destructive interaction, namely breaking a robot's leg as a punishment technique. We conducted an exploratory experiment (N=20) to investigate participants' behavior during the execution of three punishment techniques. Using a structured analysis of videos and interviews, we provide in-depth insights into participants' attitude towards these techniques. Participants preferred more abstract techniques and felt uncomfortable during human-like punishment interaction. Based on our findings, we raise questions how human-like technologies should be designed. A video documentation of the project can be found here: https://vimeo.com/348646727

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cover image ACM Conferences
DIS '20: Proceedings of the 2020 ACM Designing Interactive Systems Conference
July 2020
2264 pages
ISBN:9781450369749
DOI:10.1145/3357236
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]

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Published: 03 July 2020

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  1. human robot interaction
  2. learning
  3. punishment
  4. robot abuse

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  • (2024)DungeonMaker: Embedding Tangible Creation and Destruction in Hybrid Board Games through Personal Fabrication TechnologyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642243(1-20)Online publication date: 11-May-2024
  • (2024)Exposing, Reversing, and Inheriting Crimes as Traumas from the Neurosciences to Epigenetics: Why Criminal Law Cannot Yet Afford A(nother) Biology-induced OverhaulCriminal Justice Ethics10.1080/0731129X.2024.2376444(1-48)Online publication date: 24-Jul-2024
  • (2024)Theoretical Preconditions of Criminal Imputation for Negligence Crime Involving AIPrinciple of Criminal Imputation for Negligence Crime Involving Artificial Intelligence10.1007/978-981-97-0722-5_2(25-57)Online publication date: 25-Feb-2024
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  • (2022)Robo-Rage Against the Machine: Abuse, Sabotage, and Bullying of Robots and Autonomous VehiclesGood Robot, Bad Robot10.1007/978-3-031-14013-6_8(205-244)Online publication date: 1-Oct-2022
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  • (2021)People May Punish, But Not Blame RobotsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445284(1-11)Online publication date: 6-May-2021

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