Experience-driven procedural content generation

Georgios N. Yannakakis; Julian Togelius

doi:10.1109/T-AFFC.2011.6

Experience-driven procedural content generation

Georgios N. Yannakakis, Julian Togelius

Research output: Contribution to journal › Article › peer-review

Abstract

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the content according to user needs and preferences are important steps toward effective and meaningful PCG. Games, Web 2.0, interface, and software design are among the most popular applications of automated content generation. The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience. This approach, which we call Experience-Driven Procedural Content Generation (EDPCG), is generic and applicable to various subareas of HCI. We employ games as an example indicative of rich HCI and complex affect elicitation, and demonstrate the approach's effectiveness via dissimilar successful studies.

Original language	English (US)
Article number	5740836
Pages (from-to)	147-161
Number of pages	15
Journal	IEEE Transactions on Affective Computing
Volume	2
Issue number	3
DOIs	https://doi.org/10.1109/T-AFFC.2011.6
State	Published - Jul 2011

Keywords

Procedural content generation
adaptation
computer games.
personalization
user affect
user experience

ASJC Scopus subject areas

Software
Human-Computer Interaction

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10.1109/T-AFFC.2011.6

Cite this

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title = "Experience-driven procedural content generation",

abstract = "Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the content according to user needs and preferences are important steps toward effective and meaningful PCG. Games, Web 2.0, interface, and software design are among the most popular applications of automated content generation. The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience. This approach, which we call Experience-Driven Procedural Content Generation (EDPCG), is generic and applicable to various subareas of HCI. We employ games as an example indicative of rich HCI and complex affect elicitation, and demonstrate the approach's effectiveness via dissimilar successful studies.",

keywords = "Procedural content generation, adaptation, computer games., personalization, user affect, user experience",

author = "Yannakakis, {Georgios N.} and Julian Togelius",

note = "Funding Information: The authors thank all the participants in the discussions in the Procedural Content Generation Google Group, and the anonymous reviewers of this paper. The research was supported, in part, by the FP7 ICT project SIREN (project no. 258453) and by the Danish Research Agency, Ministry of Science, Technology and Innovation project AGameComIn; project number: 274-09-0083.",

year = "2011",

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doi = "10.1109/T-AFFC.2011.6",

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AU - Togelius, Julian

N1 - Funding Information: The authors thank all the participants in the discussions in the Procedural Content Generation Google Group, and the anonymous reviewers of this paper. The research was supported, in part, by the FP7 ICT project SIREN (project no. 258453) and by the Danish Research Agency, Ministry of Science, Technology and Innovation project AGameComIn; project number: 274-09-0083.

PY - 2011/7

Y1 - 2011/7

N2 - Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the content according to user needs and preferences are important steps toward effective and meaningful PCG. Games, Web 2.0, interface, and software design are among the most popular applications of automated content generation. The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience. This approach, which we call Experience-Driven Procedural Content Generation (EDPCG), is generic and applicable to various subareas of HCI. We employ games as an example indicative of rich HCI and complex affect elicitation, and demonstrate the approach's effectiveness via dissimilar successful studies.

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KW - Procedural content generation

KW - adaptation

KW - computer games.

KW - personalization

KW - user affect

KW - user experience

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Experience-driven procedural content generation

Abstract

Keywords

ASJC Scopus subject areas

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