four objectives are Pre-serve the resources (RES), Preserve the ecosys-tem (ECO), Improve the quality of the physical environment (AMB for "Ambiance") and Pre-serve health and manage risks (RIS). Each ob-jective is assessed by a set of indicators, thus professionals can evaluate

continuously interact with a given physical environment, when this environment is unable to sy...

enables users to be aware of background bits at the periphery of human perception using ambient display media such as light, sound, airflow, and water movement in an augmented space. The goal of Tangible Bits is to bridge the gaps between both cyberspace and the physical environment, as well

Farsite is a secure, scalable file system that logically functions as a centralized file server but is physically distributed among a set of untrusted computers. Farsite provides file availability and reliability through randomized replicated storage; it ensures the secrecy of file contents

of context, we are focusing our efforts on the pieces of context that can be inferred automatically from sensors in a physical environment. We then present a conceptual framework that separates the acquisition and representation of context from the delivery and reaction to context by a contextaware

of habitat loss. Retrospective predictions for two actual translocations show some success, while the extent to which they fail emphasizes the need for full understanding of the links between the environment occupied and reproductive success.

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In this paper, we investigate various paradigms for enabling a human operator and an automatic motion planner to cooperatively solve a motion planning query. Our work is motivated by our experience that automatic motion planners sometimes fail due to the difficulty of discovering ‘critical ’ configurations of the robot that are often naturally apparent to a human observer. In particular, we study how haptic and visual interfaces can be used to enable a user and an automatic motion planner to cooperatively solve a motion planning query. While much progress has been made in the areas of automatic motion planning and haptic interfaces, little attention has been directed towards combining the two. Our goal is to develop cooperation paradigms that are natural for the human operator and beneficial to the automatic planner. Some of the issued addressed in our study include determining ‘natural ’ ways for the user to understand the progress made by the motion planner (e.g., visualization techniques) and developing techniques by which the automatic planner can utilize (easily generated) user-input. In this paper, we propose several possible approaches to these problems, compare them according to ease of use and effectiveness for solving motion planning queries, and provide recommendations for further development.

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For both biological systems and machines, vision begins with a large and unwieldy array of measurements of the amount of light reflected from surfaces in the environment. The goal of vision is to recover physical properties of objects in the scene, such as the location of object boundaries