Beyond encoding: It has got to move

Abstract

The challenges related to constructing autonomous bodies, which may effectively interact with their environment are well recognized within the field of Artificial Intelligence. Within this field encoding approaches are increasingly abandoned in favor of interactive or decentralized perspectives. In this poster I will argue the combination of non-encoded visual cues and motion may present rich information to us, the ability to form large coherent relational structures from minimal visual information is an onboard capability of humans and may prove a viable solution to the problems of occlusion in conventional displays. The possibility of creating taxonomy of movement could present us with a pre-attentive non-encoding approach of visualizing information. © Springer-Verlag Berlin Heidelberg 2003.