Abstract

In this paper we present a case study of how design sketching can be used as a technique for exploring and creating a common understanding between users, designers and software developers, of the representation design requirements for supporting spatial-temporal reasoning in Air Traffic Control (ATC). The safe and expeditious control of aircraft requires the ATC controller to think in terms of 3D air space, and also plan ahead in time. We refer to this mental process as spatial-temporal reasoning. ATC is a 4D (3D plus time) problem but is currently supported by 2D tools such as the Plan Position Indicator-type radar displays that are seen in ATC centres. This requires the air traffic controllers to construct mental models of the air traffic situation to ensure safe vertical and horizontal separations between moving aircraft, and also expedite traffic flow. These objectives require prediction of traffic patterns and potential bottlenecks. To explain how we used design sketching, we report on the Task Analysis of an exemplar ATC task, and the characterisation of this task in spatial-temporal terms, and how the Ecological Interface Design principle of visualisation of constraints was applied to guide the development of the 4D visual form of the representation design. Document type: Part of book or chapter of book

Abstract

International audience; Mobile devices have usually limited capabilities in terms of computation power, battery lifetime, storage size and available bandwidth. Thus, to address these limitations and to continue supporting the ever-increasing application requirements, service providers use powerful servers in order to offer services through the cloud. However, due to latency and QoS limitations, cloud computing still does not solve all the problems of newly emerging mobile applications demands. Thus, a more recent development is to push the storage and processing capabilities to the edge of access network closer to end users, which introduce the new concept of fog computing. Fog computing is a decentralized computation framework which essentially extends cloud computing resources and services to the edge of access network [2].