Towards Automated Let's Play Commentary
Matthew Guzdial, Shukan Shah, Mark Riedl

TL;DR
This paper explores automating Let's Play commentary using machine learning, proposing a framework and initial implementation to generate gameplay commentary with promising early results.
Contribution
It introduces a new problem of automated Let's Play commentary and provides a framework and initial system to address it, which is a novel approach in game content automation.
Findings
Initial implementation demonstrates promising results.
Framework helps analyze the assumptions in automated commentary.
Lays groundwork for future development in game commentary automation.
Abstract
We introduce the problem of generating Let's Play-style commentary of gameplay video via machine learning. We propose an analysis of Let's Play commentary and a framework for building such a system. To test this framework we build an initial, naive implementation, which we use to interrogate the assumptions of the framework. We demonstrate promising results towards future Let's Play commentary generation.
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Taxonomy
TopicsVideo Analysis and Summarization · Digital Games and Media · Artificial Intelligence in Games
