The Impact of Monitoring and Sanctions on Cheating: Experimental Evidence from Tunisia

Bekir, Insaf; Harbi, Sana El; Grolleau, Gilles; Mzoughi, Naoufel; Sutan, Angela

doi:10.1002/mde.2731

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…Studies done with humans, even show that people act in a socially desirable and prosocial way, when being watched [4]. With dishonesty, the power of being watched also decreases cheating behavior either with a close surveillance, like having someone watching participants doing a task [8] or just by guaranteeing participants that all answers will be checked [16].…”

Section: Related Workmentioning

confidence: 99%

Cheating with robots: how at ease do they make us feel?

Petisca

Esteves

Paiva

2019

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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People are not perfect, and if given the chance, some will be dishonest with no regrets. Some people will cheat just a little to gain some advantage, and others will not do it at all. With the prospect of more human-robot interactions in the future, it will become very important to understand which kind of roles a robot can have in the regulation of cheating behavior. We investigated whether people will cheat while in the presence of a robot and to what extent this depends on the role the robot plays. We ran a study to test cheating behavior with a die task, and allocated people to one of the following conditions: 1) participants were alone in the room while doing the task; 2) with a robot with a vigilant role or 3) with a robot that had a supporting role in the task, accompanying and giving instructions. Our results showed that participants cheated significantly more than chance when they were alone or with the robot giving instructions. In contrast, cheating could not be proven when the robot presented a vigilant role. This study has implications for human-robot interaction and for the deployment of autonomous robots in sensitive roles in which people may be prone to dishonest behavior.

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Section: Related Workmentioning

confidence: 99%

Cheating with robots: how at ease do they make us feel?

Petisca

Esteves

Paiva

2019

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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“…In some cases, the activation of this calculative mindset by the introduction of (weak) monetary sanctions and monitoring systems even lead to an increase in unethical behavior compared to a situation without sanctions (Békir et al, 2016; Tenbrunsel & Messick, 1999). Thus, the emphasis on the consequences of wrongdoing can cause monetary computations to prevail over other considerations.…”

Section: Punishment Menus and Behavioral Considerationsmentioning

confidence: 99%

Letting offenders choose their punishment?

Grolleau

Mungan

Mzoughi

2022

Kyklos

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Punishment menus allow offenders to choose the punishment to which they will be subjected from a set of options. We present several behaviorally informed rationales for why punishment menus may serve as effective deterrents, notably by causing people to refrain from entering a calculative mindset; reducing their psychological reactance; causing them to reconsider the reputational impacts of punishment; and reducing suspicions about whether the act is enforced for rent‐seeking purposes. We argue that punishment menus can outperform the traditional single punishment if these effects can be harnessed properly. Our observations thus constitute a challenge, based on behavioral arguments, to the conventional view that adding (possibly unexercised) punishment options to an existing punishment scheme is unlikely to increase deterrence or welfare. We explain how heterogeneities among individuals can pose problems to designing effective punishment menus and discuss potential solutions. After explaining how punishment menus, if designed and implemented benevolently, can serve socially desirable goals, we caution against their possible misuse by self‐interested governments.

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“…For example, just having someone watching (e.g. [5,8]), or using a mirror [12], or asking people to sign an honor code [21] makes people more honest. Feeling observed and aware of our actions seems to be the factor that affects dishonesty.…”

Section: Related Workmentioning

confidence: 99%

The effect of a robotic agent on dishonest behavior

Petisca¹,

Paiva

Esteves

2020

Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents

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Future human-robot interactions will have to consider different human traits. One human feature that may be affected by the presence of virtual agents or robots is human honesty. Will people try to take advantage in the presence of a robot/virtual agent? Some previous studies have shown that the physical presence of a robot can decrease cheating in humans. In this paper, we investigated if merely a simple video of a robot looking at the user was enough to affect human's cheating behavior. Further, we also investigated if the Honesty-Humility personality trait predicted cheating. We conducted a study with 160 participants that were randomly allocated to one of two conditions: (1) performing the task with a video of a robot looking at them, or (2) doing the task alone. Results showed that being alone or with a video of a robot produced equal levels of cheating and the Honesty-Humility dimension predicted cheating, particularly the fairness sub-domain was responsible for predicting cheating behavior. This study has implications for future scenarios where dishonesty might be tempting, and physical presence of an observer might not be possible. CCS CONCEPTS • Applied computing → Psychology; • Computer systems organization → Robotics; • Human-centered computing → User studies.

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The Impact of Monitoring and Sanctions on Cheating: Experimental Evidence from Tunisia

Cited by 7 publications

References 34 publications

Cheating with robots: how at ease do they make us feel?

Cheating with robots: how at ease do they make us feel?

Letting offenders choose their punishment?

The effect of a robotic agent on dishonest behavior

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