2019/09/20 by Philipp Moll, Veit Frick, Moll, Philipp +5 · 1 voice
Computer Science · Mathematics · Psychology · Social Sciences · #Artificial Intelligence in Games #Combinatorial game theory #Computer science #Digital Games and Media #Educational Games and Gamification #Game Developer #Game art design #Game design #Game mechanics #Game theory #Human–computer interaction #Mathematical economics #Mathematics #Metagaming #Multimedia #Non-cooperative game #Popularity #Psychology #Sequential game #Simultaneous game #Video game #Video game design #Video game development #cs.HC
paper · pdf · doi:10.48550/arxiv.1909.09738
published in arXiv (Cornell University) (Cornell University)
arxiv created 2019/09/20 · openalex publication_date 2019/09/20 · arxiv published 2019/09/20 · arxiv updated 2019/09/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The popularity of computer games is remarkably high and is still growing every year. Despite this popularity and the economical importance of gaming, research in game design, or to be more precise, of game mechanics that can be used to improve the enjoyment of a game, is still scarce. In this paper, we analyze Fortnite, one of the currently most successful games, and observe how players play the game. We investigate what makes playing the game enjoyable by analyzing video streams of experienced players from game streaming platforms and by conducting a user study with players who are new to the game. We formulate four hypotheses about how game mechanics influence the way players interact with the game and how it influences player enjoyment. We present differences in player behavior between experienced players and beginners and discuss how game mechanics could be used to improve the enjoyment for beginners. In addition, we describe our approach to analyze games without access to game-internal data by using a toolchain which automatically extracts game information from video streams.