Reward-Mediated Individual and Altruistic Behavior

03/21/2020
by   Samuel Gomes, et al.
0

Recent research has taken particular interest in observing the dynamics between altruistic and individual behavior. This is a commonly approached problem when reasoning about social dilemmas, which have a plethora of real world counterparts in the fields of education, health and economics. Weighing how incentives influence in-game behavior, our study examines individual and altruistic interactions, by analyzing the players' strategies and interaction motives when facing different reward attribution strategies. Consequently, a model for interaction motives is also proposed, with the premise that the motives for interactions can be defined as a continuous space, ranging from self-oriented (associated to self-improvement behaviors) to others-oriented (associated to extreme altruism behaviors) motives. To evaluate the promotion of individual and altruistic behavior, we leverage Message Across, an in-loco two-player videogame with adaptable reward attribution systems. We conducted several user tests (N = 66) to verify to what extent individual and altruistic reward attribution systems led players to vary their strategies and motives orientation. Our results indicate that players' strategies and self-reported orientation of interaction motives varied highly significantly upon the deployment of individual and altruistic reward systems, which leads us to believe on the suitability of applying an incentive-based strategy to moderate the emergence of individual and altruistic behavior in games.

READ FULL TEXT

page 3

page 5

page 6

research
03/27/2020

The Influence of Reward on the Social Valence of Interactions

Throughout the years, social norms have been promoted as an informal enf...
research
06/25/2021

Glyph: Visualization Tool for Understanding Problem Solving Strategies in Puzzle Games

Understanding player strategies is a key question when analyzing player ...
research
06/08/2017

Setting Players' Behaviors in World of Warcraft through Semi-Supervised Learning

Digital games are one of the major and most important fields on the ente...
research
01/08/2020

Egoistic Incentives Based on Zero-Determinant Alliances for Large-Scale Systems

Social dilemmas exist in various fields and give rise to the so-called f...
research
05/30/2023

Steering control of payoff-maximizing players in adaptive learning dynamics

Evolutionary game theory provides a mathematical foundation for cross-di...
research
03/22/2022

What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies

In this paper we show that behavioral cloning can be used to learn effec...
research
02/08/2022

Inferring Strategies from Observations in Long Iterated Prisoner's Dilemma Experiments

While many theoretical studies have revealed the strategies that could l...

Please sign up or login with your details

Forgot password? Click here to reset