We present a study of people’s use of positional information as part of a collaborative location-based game. The game exploits self-reported positioning in which mobile players m...
Steve Benford, Will Seager, Martin Flintham, Rob A...
We investigated the potential of automatic detection of a learner’s affective states from posture patterns and dialogue features obtained from an interaction with AutoTutor, an i...
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
Visual markers are graphic symbols designed to be easily recognised by machines. They are traditionally used to track goods, but there is increasing interest in their application ...
We postulate that multi-wheel statically-stable mobile robots for operation in human environments are an evolutionarydead end. Robots of this class tall enough to interact meaning...