How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey

no code implementations • 21 Mar 2024 • Thu Nguyen, Alessandro Canossa, Jichen Zhu

Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

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

no code implementations • 31 Jan 2019 • David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis

Is it possible to predict the motivation of players just by observing their gameplay data?

Modeling Individual Differences in Game Behavior using HMM

no code implementations • 1 Apr 2018 • Sara Bunian, Alessandro Canossa, Randy Colvin, Magy Seif El-Nasr

We present a Hidden Markov Model (HMM) of player in-game behaviors to model individual differences, and 2. using the output of the HMM, we generate behavioral features used to classify real world players' characteristics, including game expertise and the big five personality traits.