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researcher

Daniel Dyrda

3 papers hereh-index 327 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC3

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLLMs are the Ideal Candidate for Mixed-Initiative Game Design Pillar Workflows

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.HC2026★ 1 cited

LLMs are the Ideal Candidate for Mixed-Initiative Game Design Pillar Workflows

Julian Geheeb, Marvin Julian Schwarz, Daniel Dyrda +1

Game Design Pillars are natural language artifacts commonly used in game development to communicate a project's core vision and ensure a coherent player experience. Their linguisti…

cs.HC2025

Diamonds in the rough: Transforming SPARCs of imagination into a game concept by leveraging medium sized LLMs

Julian Geheeb, Farhan Abid Ivan, Daniel Dyrda +3

Recent research has demonstrated that large language models (LLMs) can support experts across various domains, including game design. In this study, we examine the utility of mediu…

cs.HC2024

PaceMaker: A Practical Tool for Pacing Video Games

Julian Geheeb, Daniel Dyrda, Sebastian Geheeb

Designing pacing for video games presents a unique set of challenges. Due to their interactivity, non-linearity, and narrative nature, many aspects must be coordinated and consider…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.