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20142023
most citedProcedural Content Generation through Quality Diversity

125 citations · 485 across the 34 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.NE2019★ 125 cited

Procedural Content Generation through Quality Diversity

Daniele Gravina, Ahmed Khalifa, Antonios Liapis +2

Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as defined by behavior metrics. This simultaneous focus on quality and diversity with expli…

cs.HC2019

From Pixels to Affect: A Study on Games and Player Experience

Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis

Is it possible to predict the affect of a user just by observing her behavioral interaction through a video? How can we, for instance, predict a user's arousal in games by merely l…

cs.HC2019

PAGAN: Video Affect Annotation Made Easy

David Melhart, Antonios Liapis, Georgios N. Yannakakis

How could we gather affect annotations in a rapid, unobtrusive, and accessible fashion? How could we still make sure that these annotations are reliable enough for data-hungry affe…

cs.AI2019

Two-step Constructive Approaches for Dungeon Generation

Michael Cerny Green, Ahmed Khalifa, Athoug Alsoughayer +3

This paper presents a two-step generative approach for creating dungeons in the rogue-like puzzle game MiniDungeons 2. Generation is split into two steps, initially producing the a…

cs.LG2019

Your Gameplay Says It All: Modelling Motivation in Tom Clancy's The Division

David Melhart, Ahmad Azadvar, Alessandro Canossa +2

Is it possible to predict the motivation of players just by observing their gameplay data? Even if so, how should we measure motivation in the first place? To address the above que…