19 citations · 22 across the 4 of their papers we have counts for
3 papers · 1 filter
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks
Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen +1
Incentive salience attribution can be understood as a psychobiological mechanism ascribing relevance to potentially rewarding objects and actions. Despite being an important compon…
From Theory to Behaviour: Towards a General Model of Engagement
Valerio Bonometti, Charles Ringer, Mathieu Ruiz +2
Engagement is a fuzzy concept. In the present work we operationalize engagement mechanistically by linking it directly to human behaviour and show that the construct of engagement…
Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability
Valerio Bonometti, Charles Ringer, Mark Hall +2
Data-driven approaches which aim to identify and predict player engagement are becoming increasingly popular in games industry contexts. This is due to the growing practice of trac…