Human-Robot Cooperation in Economic Games: People Show Strong Reciprocity but Conditional Prosociality Toward Robots

2021 ◽  
Author(s):  
Te-Yi Hsieh ◽  
Bishakha Chaudhury ◽  
Emily S. Cross
Keyword(s):  
Strong Reciprocity ◽  
Economic Games ◽  
Robot Cooperation

Human-robot cooperation in economic games: People show strong reciprocity but conditional prosociality toward robots

2020 ◽  
Author(s):  
Te-Yi Hsieh ◽  
Bishakha Chaudhury ◽  
Emily S. Cross
Keyword(s):  
Social Interactions ◽  
Social Behaviour ◽  
Incentive Structure ◽  
Incentive Condition ◽  
Strong Reciprocity ◽  
Economic Games ◽  
Social Tasks ◽  
Tit For Tat ◽  
Robot Cooperation ◽  
Future Work

Understanding human social interactions with robots is important for designing robots for social tasks. Here, we investigate undergraduate participants’ situational cooperation tendencies towards a robot opponent using prisoner’s dilemma games. With two conditions where incentives for cooperative decisions were manipulated to be high or low, we predicted that people would cooperate more often with the robot in high-incentive conditions. Our results showed incentive structure did not predict human cooperation overall, but did influence cooperation in early rounds, where participants cooperated significantly more in the high-incentive condition. Exploratory analyses revealed other two behavioural tendencies: (1) participants played a tit-for-tat strategy against the robot (whose decisions were random); and (2) participants only behaved prosocially toward the robot when they had achieved high scores themselves. Our findings highlight ways in which social behaviour toward robots might differ from social behaviour toward humans, and inform future work on human–robot interactions in collaborative contexts.

Measuring perceptions of post-conflict actors’ economic behavior: the case of Colombia

2020 ◽  
Author(s):  
Santiago Alonso Diaz ◽  
Nicolás Enrique Arévalo Jaimes ◽  
Sebastian Balcucho ◽  
Daniel Duque ◽  
Tatiana García ◽  
...  
Keyword(s):  
University Students ◽  
Exposure To Violence ◽  
Dictator Game ◽  
Economic Behavior ◽  
Behavioral Changes ◽  
Current Evidence ◽  
Economic Games ◽  
Risk Seeking ◽  
Post Conflict ◽  
Intertemporal Discounting

Exposure to violence has lasting effects on economic behavior years after it has ended. Previous literature has proved that there is an increase in altruism, impatience, and risk-seeking. However, it is unknown if regular citizens, not directly involved in the conflict, perceive such economic behavior in post-conflict actors. We asked participants to report, relative to them, how Colombia's post-conflict actors (ex-guerrillas, ex-paramilitaries, and victims) behave in different economic games (dictator game, lotteries, and intertemporal discounting). Our sample of university students believes that victims are less altruistic than current evidence with real victims, not particularly risky, and impatient. Also, that former combatants are risk-seeking, impatient, and altruistic towards victims. These beliefs about post-conflict actors' economic behavior do not consistently coincide with behavioral changes found in actual actors involved in violence and could guide reintegration policies.

scholarly journals Investigating human-robot cooperation in a hospital environment

2021 ◽  
Author(s):  
Kristina Tornbjerg ◽  
Anne Marie Kanstrup ◽  
Mikael B. Skov ◽  
Matthias Rehm
Keyword(s):  
Hospital Environment ◽  
Robot Cooperation

scholarly journals Human-Centered Robotic Development in the Steel Shop: Improving Health, Safety and Digital Skills at the Workplace

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 647
Author(s):  
Valentina Colla ◽  
Ruben Matino ◽  
Antonius Johannes Schröder ◽  
Mauro Schivalocchi ◽  
Lea Romaniello
Keyword(s):  
Social Innovation ◽  
Health And Safety ◽  
Field Evaluation ◽  
End Users ◽  
Operating Conditions ◽  
Viable Solution ◽  
Relevant Role ◽  
Steel Sector ◽  
Robot Cooperation ◽  
Robotic Workstation

Within the implementation of the Industry 4.0 paradigm in the steel sector, robots can play a relevant role in improving health and safety conditions at the workplace, by overtaking cumbersome, repetitive and risky operations. However, the implementation of robotics solutions in this particular sector is hampered by harsh operating conditions and by particular features of many procedures, which require a combination of force and sensitivity. Human–robot cooperation is a viable solution to overcome existing barriers, by synergistically combining human and robot abilities in the sense of a human-centered Industry 5.0. In this sense, robotics solution should be designed in a way to integrate and meet the end-users’ demands in a common development process for successfully implementation and widely acceptance. The paper presents the outcomes of the field evaluation of a robotic workstation, which was designed for a complex maintenance operation that is daily performed in the steel shop. The system derives from a co-creation process, where workers were involved since the beginning in the design process, according to the paradigm of social innovation combining technological and social development. Therefore, the evaluation aimed at assessing both system reliability and end-users’ satisfaction. The results show that the human-centered robotic workstations are successful in reducing cumbersome operations and improving workers’ health and safety conditions, and that this fact is clearly perceived by system users and developers.

scholarly journals Contextualised strong reciprocity explains selfless cooperation despite selfish intuitions and weak social heuristics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ozan Isler ◽  
Simon Gächter ◽  
A. John Maule ◽  
Chris Starmer
Keyword(s):  
Social Dilemma ◽  
The Self ◽  
Self Control ◽  
Conditional Cooperation ◽  
Strong Reciprocity ◽  
Time Patterns ◽  
The Social ◽  
Primary Driver ◽  
Collective Benefit ◽  
Research And Policy

AbstractHumans frequently cooperate for collective benefit, even in one-shot social dilemmas. This provides a challenge for theories of cooperation. Two views focus on intuitions but offer conflicting explanations. The Social Heuristics Hypothesis argues that people with selfish preferences rely on cooperative intuitions and predicts that deliberation reduces cooperation. The Self-Control Account emphasizes control over selfish intuitions and is consistent with strong reciprocity—a preference for conditional cooperation in one-shot dilemmas. Here, we reconcile these explanations with each other as well as with strong reciprocity. We study one-shot cooperation across two main dilemma contexts, provision and maintenance, and show that cooperation is higher in provision than maintenance. Using time-limit manipulations, we experimentally study the cognitive processes underlying this robust result. Supporting the Self-Control Account, people are intuitively selfish in maintenance, with deliberation increasing cooperation. In contrast, consistent with the Social Heuristics Hypothesis, deliberation tends to increase the likelihood of free-riding in provision. Contextual differences between maintenance and provision are observed across additional measures: reaction time patterns of cooperation; social dilemma understanding; perceptions of social appropriateness; beliefs about others’ cooperation; and cooperation preferences. Despite these dilemma-specific asymmetries, we show that preferences, coupled with beliefs, successfully predict the high levels of cooperation in both maintenance and provision dilemmas. While the effects of intuitions are context-dependent and small, the widespread preference for strong reciprocity is the primary driver of one-shot cooperation. We advance the Contextualised Strong Reciprocity account as a unifying framework and consider its implications for research and policy.

On economic games which are not necessarily superadditive

1979 ◽  
Vol 3 (4) ◽  
pp. 301-306 ◽  
Author(s):  
R. Guesnerie ◽  
C. Oddou
Keyword(s):  
Economic Games

scholarly journals Doublel-robot coordination workspace Analysis based on Matlab

2018 ◽  
Vol 232 ◽  
pp. 03057
Author(s):  
Wei Wang ◽  
Yong Xu
Keyword(s):  
Boundary Surface ◽  
Value Theory ◽  
Working Space ◽  
The Monte Carlo Method ◽  
Workspace Analysis ◽  
Solution Equation ◽  
Space Boundary ◽  
Robot Cooperation ◽  
Limit Position ◽  
Cooperation System

Aiming at the requirements of dual robot collaborative operation, a dual robot cooperation system model is established in SolidWorks2012 software to study the dual robot cooperation space. The D-H parameters are established, and the kinematics positive solution equation is obtained. The dual robot cooperative kinematics model is given. Based on the Monte Carlo method, the workspace of the dual robot is solved. The extreme value theory method is used to analyze and calculate, so as to extract the precise boundary contour of the common area of the dual robot workspace, and the collaborative space boundary surface and limit position of the dual robot are determined. The optimal coordinated working space of the dual robot end effector is obtained, which lays a theoretical foundation for the coordinated trajectory planning of the dual robot.

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