activity
20192021
collaborators

6 papers

cs.HC2021

Towards General Models of Player Experience: A Study Within Genres

David Melhart, Antonios Liapis, Georgios N. Yannakakis

To which degree can abstract gameplay metrics capture the player experience in a general fashion within a game genre? In this comprehensive study we address this question across th…

cs.HC2021

Privileged Information for Modeling Affect In The Wild

Konstantinos Makantasis, David Melhart, Antonios Liapis +1

A key challenge of affective computing research is discovering ways to reliably transfer affect models that are built in the laboratory to real world settings, namely in the wild.…

cs.HC2020

Moment-to-moment Engagement Prediction through the Eyes of the Observer: PUBG Streaming on Twitch

David Melhart, Daniele Gravina, Georgios N. Yannakakis

Is it possible to predict moment-to-moment gameplay engagement based solely on game telemetry? Can we reveal engaging moments of gameplay by observing the way the viewers of the ga…

cs.AI2020

I Feel I Feel You: A Theory of Mind Experiment in Games

David Melhart, Georgios N. Yannakakis, Antonios Liapis

In this study into the player's emotional theory of mind of gameplaying agents, we investigate how an agent's behaviour and the player's own performance and emotions shape the reco…

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.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…