Pascal Haazebroek

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Robots are increasingly expected to perform tasks in complex environments. To this end, engineers provide them with processing architectures that are based on models of human information processing. In contrast to traditional models, where information processing is typically set up in stages (i.e., from perception to cognition to action), it is increasingly(More)
The evaluation and design of user interfaces may be facilitated by using performance models based on cognitive architectures. A recent trend in HCI is the increased focus on perceptual and motor-related aspects of the interaction. With respect to this focus, we present the foundations of HiTEC, a new cognitive architecture based on recent findings of(More)
Theories of embodied cognition suppose that perception, action, and cognition are tightly intertwined and share common representations and processes. Indeed, numerous empirical studies demonstrate interaction between stimulus perception, response planning, and response execution. In this paper, we present an experiment and a connectionist model that show(More)
Human action is goal-directed and must thus be guided by anticipa-tions of wanted action effects. How anticipatory action control is possible and how it can emerge from experience is the topic of the ideomotor approach to human action. The approach holds that movements are automatically integrated with representations of their sensory effects, so that(More)
In the context of the PACO+ project (, we propose to implement the recently developed Natural Input Memory (NIM) model [2] as a brain for a humanoid robot that operates directly on real-world visual input. The NIM model is a memory model that encompasses a perceptual front-end that takes local samples (i.e., eye fixations) from(More)
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