143 citations · 781 across the 60 of their papers we have counts for
20 papers · 1 filter
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
Niels Justesen, Maria Kaselimi, Sam Snodgrass +12
Artificial intelligence (AI) has enabled agents to master complex video games, from first-person shooters like Counter-Strike to real-time strategy games such as StarCraft II and r…
Across-Game Engagement Modelling via Few-Shot Learning
Kosmas Pinitas, Konstantinos Makantasis, Georgios N. Yannakakis
Domain generalisation involves learning artificial intelligence (AI) models that can maintain high performance across diverse domains within a specific task. In video games, for in…
Closing the Affective Loop via Experience-Driven Reinforcement Learning Designers
Matthew Barthet, Diogo Branco, Roberto Gallotta +2
Autonomously tailoring content to a set of predetermined affective patterns has long been considered the holy grail of affect-aware human-computer interaction at large. The experie…
GameVibe: A Multimodal Affective Game Corpus
Matthew Barthet, Maria Kaselimi, Kosmas Pinitas +3
As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, th…
Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions
Kosmas Pinitas, David Renaudie, Mike Thomsen +4
This paper introduces a large scale multimodal corpus collected for the purpose of analysing and predicting player engagement in commercial-standard games. The corpus is solicited…
Affective Game Computing: A Survey
Georgios N. Yannakakis, David Melhart
This paper surveys the current state of the art in affective computing principles, methods and tools as applied to games. We review this emerging field, namely affective game compu…
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation
Matthew Barthet, Chintan Trivedi, Kosmas Pinitas +4
The laborious and costly nature of affect annotation is a key detrimental factor for obtaining large scale corpora with valid and reliable affect labels. Motivated by the lack of t…
From the Lab to the Wild: Affect Modeling via Privileged Information
Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis +1
How can we reliably transfer affect models trained in controlled laboratory conditions (in-vitro) to uncontrolled real-world settings (in-vivo)? The information gap between in-vitr…
The Ethics of AI in Games
David Melhart, Julian Togelius, Benedikte Mikkelsen +2
Video games are one of the richest and most popular forms of human-computer interaction and, hence, their role is critical for our understanding of human behaviour and affect at a…
Supervised Contrastive Learning for Affect Modelling
Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis +1
Affect modeling is viewed, traditionally, as the process of mapping measurable affect manifestations from multiple modalities of user input to affect labels. That mapping is usuall…
Architectural Form and Affect: A Spatiotemporal Study of Arousal
Emmanouil Xylakis, Antonios Liapis, Georgios N. Yannakakis
How does the form of our surroundings impact the ways we feel? This paper extends the body of research on the effects that space and light have on emotion by focusing on critical f…
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…
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.…
The Arousal video Game AnnotatIoN (AGAIN) Dataset
David Melhart, Antonios Liapis, Georgios N. Yannakakis
How can we model affect in a general fashion, across dissimilar tasks, and to which degree are such general representations of affect even possible? To address such questions and e…
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games
Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis
What if emotion could be captured in a general and subject-agnostic fashion? Is it possible, for instance, to design general-purpose representations that detect affect solely from…
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…
Play with One's Feelings: A Study on Emotion Awareness for Player Experience
Yoones A. Sekhavat, Samad Roohi, Hesam Sakian Mohammadi +1
Affective interaction between players of video games can elicit rich and varying patterns of emotions. In multiplayer activities that take place in a common space (such as sports a…
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…
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…
Psychophysiological Correlations with Gameplay Experience Dimensions
Anders Drachen, Lennart E. Nacke, Georgios Yannakakis +1
In this paper, we report a case study using two easy-to-deploy psychophysiological measures - electrodermal activity (EDA) and heart rate (HR) - and correlating them with a gamepla…