Showing papers by "Jonas Lundberg published in 2018"
TL;DR: This research-through-design study presents conceptual designing as a bootstrapping approach to CWA in the design of a first-of-a-kind UTM system.
Abstract: Cognitive Work Analysis (CWA) is an appropriate approach in design for high-stakes domains, such as air traffic management (ATM) since it focuses on human expert performance in regular and continge...
26 citations
01 Sep 2018
TL;DR: Sampled side-effects of using basic unmanned traffic management interventions in an airspace with autonomous point-to-point drone traffic are presented and consequences for UTM development in cities, for the European development of U-space U3 and U4 are discussed.
Abstract: Drone-based services in cities will most likely result in high traffic densities (especially during peak hours). Basic unmanned/urban (air) traffic management (UTM) tools and interventions to cope ...
10 citations
05 Sep 2018
TL;DR: Conceptual designing as a bootstrapping approach to CWA for UTM as a first-of-a-kind system for intense drone traffic in cities is presented.
Abstract: Cognitive1 Work Analysis (CWA) is an appropriate approach in high-stakes domains, such as Air Traffic Management (ATM). It provides focus on human expert performance in regular as well as contingency situations. However, CWA is not suitable for the design of a first-of-a-kind system, since there is nothing to analyze before the start of the design process. In 2017, unmanned traffic management (UTM) for intense drone traffic in cities was such a system. Making things worse, the UTM system has to be in place before the traffic, since it provides basic safety. In this paper we present conceptual designing as a bootstrapping approach to CWA for UTM as a first-of-a-kind system.
6 citations
21 Jul 2018
TL;DR: This paper presents an approach to uncovering “blind spots” in investigation processes, describing how it was applied at an Air Navigation Service provider.
Abstract: For a long time, the aim of safety science has been to further improve safety through more extensive analysis methods (address more factors, with increasingly complex causality models). However, recent research has uncovered how the application of even very advanced methods are subjects to the same pressures of reality of work, as other work tasks, and may therefore also have ‘incidents’, where all issues are not examined with equal thoroughness, and not implemented with the same enthusiasm. Some of these performance shaping factors may be systemic, affecting many investigations, resulting in investigation “blind spots”. This can facilitate the build-up of latent risk conditions in otherwise ultra-safe organizations, resulting in what is in the literature called a man-made disaster (or, less dramatically, a man-made incident). In this paper, we present an approach to uncovering “blind spots” in investigation processes, describing how it was applied at an Air Navigation Service provider.
3 citations