AIHCSep 28, 2018

DATA Agent

arXiv:1810.02251v117 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of automated game content generation for entertainment, but it is incremental as it builds on existing generative methods for a specific domain.

The paper tackles the problem of generating murder mystery adventures from open data, introducing DATA Agent, a system that creates games where players act as detectives. The result from a user study with 30 participants shows that the game is easy and fun to play, with mysteries that are straightforward to solve.

This paper introduces DATA Agent, a system which creates murder mystery adventures from open data. In the game, the player takes on the role of a detective tasked with finding the culprit of a murder. All characters, places, and items in DATA Agent games are generated using open data as source content. The paper discusses the general game design and user interface of DATA Agent, and provides details on the generative algorithms which transform linked data into different game objects. Findings from a user study with 30 participants playing through two games of DATA Agent show that the game is easy and fun to play, and that the mysteries it generates are straightforward to solve.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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