The spatial environment shapes sensemaking in complex situations. While we know that actors in high-reliability task contexts often have a certain degree of control over their spatial environment, it remains unclear how they enact their spatial environment and which effect this has on their sensemaking. In this paper, we use micro-ethnographic video data from two maritime mass rescue exercises to fill this gap. We find that actors that are under a high cognitive load enact space incidentally and fail to re-enact their spatial environment when problems arise. Instead, actors engage in micro-activities that temporarily mitigate the problems created by their space enactment. We develop a model on space and sensemaking in high-reliability task contexts that distinguishes between unenacted, enacted and lived space. Our findings point towards nested sensemaking, where the enacted spatial environment becomes part of the overall ‘story’ of an operation. Our findings have implications for our understanding of space and sensemaking in high-reliability task contexts, provide opportunities to improve high-reliability organizations’ performance and add to research on space and organising.
Unmanned aerial vehicles (UAV) are a promising technology for fast, large scale survey operations such as maritime search and rescue (SAR). However, providing reliable communications over long distances remains a challenge. Cellular technology such as Long Term Evolution (LTE) is designed to perform well in the presence of fast-moving clients and highly dynamic channel conditions. Yet, its generic medium access mechanisms make it hard to support low-latency uplink traffic, which is needed for real-time command and control and similar applications. In this paper, we introduce an unmanned aerial system for maritime SAR, supported via an LTE data link. To mitigate drawbacks in uplink channel access, we develop a resource-guaranteed scheme based on persistent scheduling, using an open-source LTE stack. The approach is evaluated with a laboratory setup using software-defined radio modules. Measurements are taken on the application layer, using realworld telemetry data generated by an autopilot system in the presence of high bandwidth background traffic. Evaluations demonstrate that our system fulfills UAV requirements in terms of latency and reliability. Latency is further reduced to 6 ms on average and a 99.9th percentile of 10 ms by application-aware overprovisioning for mission-critical traffic and users.
Communication for processing relevant information plays a paramount role in developing a comprehensive understanding of Search and Rescue (SAR) situations and conducting operations in a successful and reliable manner. Nevertheless, communication systems have not changed 20considerably in the context of simplifying very high frequency (VHF) maritime communication and enhancing the value of SAR practices. The Automated Transcription of Maritime VHF Radio Communication for SAR Mission Coordination (ARTUS) project approaches this problem with the development of an assistance system which employs AI-based speech recognition and smart direction finding. First, ideas and specified needs of end users for designing the user interface are presented in this paper. Further, preliminary accomplishments of domain specific language training for maritime speech recognition, and the direction-finding algorithms for localizing senders are sketched out. While the preliminary results build a solid ground, additional field experiments will be conducted in order to enhance the accuracy and reliability of speech recognition and direction finding. The identified end user requirements across different personnel groups show commonalities, but call for a differentiated approach in order to meet the challenges and peculiar needs of the various working contexts.
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