Abstract:This paper investigates interactions between game theoretical strategies and social relationships in real-time decision-making and rewarding environments. We propose an experimental framework based on techniques of web-based multiplayer online games for this purpose. In our framework, multiple human players, represented as particles in a two-dimensional space of social interactions, can modify their positions and game strategies for the prisoner's dilemma in real time, and receive benefit or cost emerging from… Show more
“…They observed repeated occurrences of explosive dynamics that consisted of a formation of an altruistic cluster followed by its collapse with explosive dispersal of defective particles. The similar dynamics were observed both computationally and experimen-tally (see (Suzuki et al, 2018)). However, it is still not clear whether and how the significant increase in the scale of social networks, as discussed above, can bring about more diversity and demonstrate emerging patterns for higher-level interactions.…”
“…They observed repeated occurrences of explosive dynamics that consisted of a formation of an altruistic cluster followed by its collapse with explosive dispersal of defective particles. The similar dynamics were observed both computationally and experimen-tally (see (Suzuki et al, 2018)). However, it is still not clear whether and how the significant increase in the scale of social networks, as discussed above, can bring about more diversity and demonstrate emerging patterns for higher-level interactions.…”
“…The analyses identified weak correlations indicating that a high inclination to alter In order to conduct a comparative analysis between two distinct instances of communication, specifically one that takes place in a physical environment and the other in a virtual environment, we conducted a face-to-face experiment and a web-based experiment with the same five participants while keeping the same payoff matrix. The face-to-face experiment used the current proposed framework, and the web-based experiment used a framework developed by Suzuki et al (2018) based on the SPS model, which consists of human participants interacting with each other online through a computer.…”
Section: Resultsmentioning
confidence: 99%
“…Real-time decision making, well represented in the SPS model, has also received much attention in experimental studies with human participants (Friedman & Oprea, 2012;Hawkins & Goldstone, 2016;Janssen et al, 2014). Suzuki et al (2018) analyzed continuous social dynamics in real human groups by implementing a web-based multiplayer game based on the SPS model, in which human participants, represented as anonymous particles in a shared 2D space, can change their positions and gametheoretical strategies in real time according to the benefits or costs arising from social relationships with neighboring players. They found that the formation and collapse of cooperative clusters emerged in parallel.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we conducted a series of three proof-of-concept experiments as follows: 1) A face-to-face social experiment with a small group of eight participants to demonstrate that our framework works by presenting data collection of social dynamics and initial findings from basic analysis. 2) An experimental analysis with both face-toface and web-based experiments with a unique population; to examine the effects of each platform on the evolution of social behavior within the same group, using the same combination of procedures as previous studies (Suzuki et al, 2018). 3) An extended face-to-face experiment with a larger group; to further explore the primary findings on emerging group dynamics in a larger group of 14 participants using an enhanced version of the framework, focusing particularly on the effects of the presence and absence of strategy information about other participants.…”
COVID-19 studies reveal negative correlations between computer-mediated communication and well-being, highlighting the role of face-to-face interaction in understanding human behavior. We present an IoT-based framework for studying face-to-face interactions in which participants use microcomputers to interact via Bluetooth signals that represent their social closeness. Participants adjust their interaction strategy in real time via a button on the device, which is displayed on the screen along with the accumulated score. We simulated a situation similar to the Social Particle Swarm model and its online (web-based) experimental variant, where formation and collapse of cooperative clusters emerged. This paper presents a framework and validates its performance through three experiments: one focused on capturing social relationship dynamics, the second comparing behavioral patterns between face-to-face and web-based conditions, and the final experiment testing the framework with a larger group. Implications for the importance of information visibility of others for active and cooperative social dynamics will be discussed.
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