# Evaluation of a Recommender System for Assisting Novice Game Designers

## TL;DR

This paper presents a recommender system that aids novice game designers by suggesting game mechanics, validated through human studies showing improved accuracy, reduced workload, and enhanced creative insights.

## Contribution

It introduces a novel AI-driven game design assistant and provides rigorous human subject validation of its effectiveness.

## Key findings

- Increases user accuracy and computational affect.
- Decreases user workload.
- Enhances creative insights for game designers.

## Abstract

Game development is a complex task involving multiple disciplines and technologies. Developers and researchers alike have suggested that AI-driven game design assistants may improve developer workflow. We present a recommender system for assisting humans in game design as well as a rigorous human subjects study to validate it. The AI-driven game design assistance system suggests game mechanics to designers based on characteristics of the game being developed. We believe this method can bring creative insights and increase users' productivity. We conducted quantitative studies that showed the recommender system increases users' levels of accuracy and computational affect, and decreases their levels of workload.