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- research-articleOctober 2024
Mute, Block, Punish, Reward? A Call to Shift the Research Focus From Concealing Toxicity in Games to Promoting Genuine Positive Behavior
CHI PLAY Companion '24: Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in PlayPages 282–284https://doi.org/10.1145/3665463.3678863This work presents an argument to shift our research focus away from quick fixes for negative interactions in online communities. Providing functions such as report, block, and mute to players as a primary defense allows us to treat some of the symptoms,...
- research-articleJune 2023
Who Should Pay When Machines Cause Harm? Laypeople’s Expectations of Legal Damages for Machine-Caused Harm
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and TransparencyPages 236–246https://doi.org/10.1145/3593013.3593992The question of who should be held responsible when machines cause harm in high-risk environments is open to debate. Empirical research examining laypeople’s opinions has been largely restricted to the moral domain and has only inspected a limited set of ...
- research-articleDecember 2021
FairPlay: Detecting and Deterring Online Customer Misbehavior
Information Systems Research (INFORMS-ISR), Volume 32, Issue 4Pages 1323–1346https://doi.org/10.1287/isre.2021.1035This study examines how firms can detect and manage customer misbehavior in online brand communities. We first develop a data science approach to detect customer misbehavior on social media and devise intervention strategies to deter it. Our design ...
Customer misbehavior is a serious and pervasive problem in firm-sponsored social media, yet prior studies provide limited insight into how firms should detect and manage it. To address this gap, we first develop a data science approach to detect customer ...
- research-articleSeptember 2021
What Happens When Robots Punish? Evaluating Human Task Performance During Robot-Initiated Punishment
ACM Transactions on Human-Robot Interaction (THRI), Volume 10, Issue 4Article No.: 38, Pages 1–18https://doi.org/10.1145/3472207This article examines how people respond to robot-administered verbal and physical punishments. Human participants were tasked with sorting colored chips under time pressure and were punished by a robot when they made mistakes, such as inaccurate ...
- research-articleMay 2021
People May Punish, But Not Blame Robots
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 715, Pages 1–11https://doi.org/10.1145/3411764.3445284As robots may take a greater part in our moral decision-making processes, whether people hold them accountable for moral harm becomes critical to explore. Blame and punishment signify moral accountability, often involving emotions. We quantitatively ...
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- research-articleApril 2021
Youth Trust in Social Media Companies and Expectations of Justice: Accountability and Repair After Online Harassment
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 5, Issue CSCW1Article No.: 2, Pages 1–18https://doi.org/10.1145/3449076Social media platforms aspire to deliver fair resolutions after online harassment. Platforms rely on sanctions like removing content or banning users but these punitive responses provide little opportunity for justice or reparation for targets of ...
- research-articleJuly 2020
Punishable AI: Examining Users' Attitude Towards Robot Punishment
DIS '20: Proceedings of the 2020 ACM Designing Interactive Systems ConferencePages 179–191https://doi.org/10.1145/3357236.3395542To 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 ...
- articleAugust 2018
Shifting Blame? Experimental Evidence of Delegating Communication
Decision makers frequently have a spokesperson communicate their decisions. In this paper, we address two questions. First, does it matter who communicates an unfair decision? Second, does it matter how the unfair decision is communicated? We conduct a ...
- research-articleApril 2017
Cognitive adaptations to criminal justice lead to źparanoidź norm obedience
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems (SAGE-ADAP), Volume 25, Issue 2Pages 83–95https://doi.org/10.1177/1059712317693889People often cooperate and obey norms in situations where it is clear they cannot be caught and punished. Such behavior does not serve their self-interest, as they are foregoing opportunities to exploit others without any negative consequences. Hence, ...
- research-articleSeptember 2016
Market Design and Moral Behavior
In an experiment with 739 subjects, we study whether and how different interventions might have an influence on the degree of moral behavior when subjects make decisions that can generate negative externalities on uninvolved parties. Particularly, ...
- research-articleFebruary 2016
Discretionary Sanctions and Rewards in the Repeated Inspection Game
We experimentally investigate a repeated “inspection game” where, in the stage game, an employee can either work or shirk and an employer simultaneously chooses to inspect or not inspect. The unique equilibrium of the stage game is in mixed strategies ...
- posterMay 2015
The Efficient Interaction of Costly Punishment and Commitment
AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent SystemsPages 1657–1658To ensure cooperation in the Prisoner's Dilemma, agents may require prior commitments from others, subject to compensations when defecting after agreeing to commit. Alternatively, agents may prefer to behave reactively, without arranging prior ...
- research-articleJuly 2014
Evolution of honest signaling by social punishment
GECCO '14: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary ComputationPages 153–160https://doi.org/10.1145/2576768.2598312When facing dishonest behavior of any form, individuals may choose to punish in order to enhance future honesty from others, even if it is costly for the punishers. Such behavior can be found ubiquitously in human and animal communications, suggesting ...
- research-articleJune 2014
Responses to adaptive feedback for software testing
ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science educationPages 165–170https://doi.org/10.1145/2591708.2591756As students learn to program they also learn basic software development methods and techniques, but educators do not often directly assess students' development processes or evaluate their adherence to specific techniques. However, automated grading ...
- research-articleJune 2014
The Norm-Signaling Effects of Group Punishment: Combining Agent-Based Simulation and Laboratory Experiments
- Daniel Villatoro,
- Giulia Andrighetto,
- Jordi Brandts,
- Luis Gustavo Nardin,
- Jordi Sabater-Mir,
- Rosaria Conte
Social Science Computer Review (SSCR), Volume 32, Issue 3Pages 334–353https://doi.org/10.1177/0894439313511396Punishment plays a crucial role in favoring and maintaining social order. Recent studies emphasize the effect of the norm-signaling function of punishment. However, very little attention has been paid so far to the potential of group punishment. We ...
- ArticleSeptember 2012
Optimised Reputation-Based Adaptive Punishment for Limited Observability
SASO '12: Proceedings of the 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing SystemsPages 129–138https://doi.org/10.1109/SASO.2012.24The use of social norms has proven to be effective in the self-governance of decentralised systems in which there is no central authority. Axelrod's seminal model of norm establishment in populations of self-interested individuals provides some insight ...
- research-articleJune 2012
On modeling punishment in multi-agent systems
AAMAS '12: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3Pages 1375–1376In this paper we study isolation as a form of punishment. Although an isolated violator is punished as it can not benefit from the interactions with other agents, compliant agents may also suffer from not engaging with the violators. In this paper we ...
- articleMay 2012
Competition Between Organizational Groups: Its Impact on Altruistic and Antisocial Motivations
Firms are often organized into groups. Group membership has been shown empirically to have positive effects, in the form of increased prosocial behavior toward in-group members. This includes an enhanced willingness to engage in altruistic punishment of ...
- research-articleJanuary 2012
Gossip for social control in natural and artificial societies
In this work we propose a theory of gossip as a means for social control. Exercising social control roughly means to isolate and to punish cheaters. However, punishment is costly and it inevitably implies the problem of second-order cooperation. Moving ...
- ArticleSeptember 2011
An Improved Security Mechanism in Cognitive Radio Networks
ICICIS '11: Proceedings of the 2011 International Conference on Internet Computing and Information ServicesPages 353–356https://doi.org/10.1109/ICICIS.2011.91As one type of the attacks happening in MAC layer of distributed cognitive radio networks, a selfish behavior can degrade network performance significantly. In this paper, we analyze the characteristics of selfish behavior and the methods how to expose ...