Akademik Veri Yönetim Sistemi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, cilt.14, sa.3, ss.1469-1486, 2025 (Hakemli Dergi)
Game Design Documentation (GDD) is a critical document that includes the
design and mechanical details of the game to be developed. These
documents create a common understanding among team members by including
details such as the game's progress, story, and design features. In
order for the game development process to proceed and be completed
healthily, these documents must be prepared in a high-quality, clear,
and detailed manner. However, the creation of this documentation is a
time-consuming and error-prone process. Especially in game genres that
require rapid prototyping, incomplete or insufficient GDDs can cause
delays in the project process. This study was conducted to examine the
effectiveness of LLMs in GDD production. The hyper-casual game Pool Wars
was selected as a reference, and for this example game, the GDD created
by a human expert and the GDD produced by ChatGPT-4 using various
prompt methods were evaluated by four experts in the field according to
eight different criteria using a five-point Likert scale. In addition to
structural and creative aspects, visual elements were also included in
the evaluation process. ImageFX, developed by Google, was used to add
visual content to the GDD created by ChatGPT-4. As a result, it was seen
that LLMs were more successful in many criteria in GDD production. As a
result of the scoring made by an academician and three experts from the
sector, GDD created by LLM received an overall average score of 4.71
out of 5, while GDD prepared by human expert received 3.29 points. GDD
produced by LLM showed a clear superiority especially in terms of
understandability and level of detail. However, it showed a similar
performance to human expert in terms of creativity and visual content
and it was observed that there was room for improvement in these areas.