Community-Quality-Based Player Ranking in Collaborative Games with no Explicit Objectives

TL;DR

This paper introduces a real-time player ranking method for collaborative games without explicit objectives, using a community quality heuristic to evaluate player contributions based on their impact on community harmony.

Contribution

It presents a novel, parameterizable approach for ranking players in no-objective collaborative games, addressing the challenge of measuring contribution quality without explicit metrics.

Findings

Effective in real-time community settings

Flexible through multiple parameterizations

Demonstrated via case study comparisons

Abstract

Player ranking can be used to determine the quality of the contributions of a player to a collaborative community. However, collaborative games with no explicit objectives do not support player ranking, as there is no metric to measure the quality of player contributions. An implicit objective of such communities is not being disruptive towards other players. In this paper, we propose a parameterizable approach for real-time player ranking in collaborative games with no explicit objectives. Our method computes a ranking by applying a simple heuristic community quality function. We also demonstrate the capabilities of our approach by applying several parameterizations of it to a case study and comparing the obtained results.