Conceptual Representation and Evaluation of an FPS Game Commentary Generator

Abstract

Playing video games has been popular across all the age limits of modern society. In the beginning, it was limited among the younger community and it was just a hobby limited to individuals. Even though the majority of society sees video gaming as having a negative impact on society, this modern industry acts a significant role in healing the present competitive, stressful society. Game commentary has played a major role in the domain of competitive ESports. A proper game commentary is beneficial to both players and the audience. The aim of this project is to analyze the gameplays to produce a commentary track while balancing the contributing factors, color commentary, and play-by-play commentary. The project consists of three modules that perform the study in three perspectives: 1. Word sets related to action, spatial, temporal, and statistical information, 2. Word sets related to color commentary, 3. Word sets related to play-by-play commentary. In each module, a game commentary is generated using only the word sets related to that module. For evaluation, the similarity between the human commentary and the generated commentaries individually will be calculated.