Abstract
In control center applications, such as road and air traffic management, a human operator's situation awareness (SAW) is of prime relevance. Operators need to assess critical situations emerging in that environment in order to undertake the appropriate (counter)actions, which becomes increasingly difficult w.r.t. today's rapidly changing and information-rich environments. Whereas automated SAW systems assisting operators are maturing, their focus is mainly on analyzing snapshots of the current state of the environment. Support for specifying and tracking evolving situations, however, is only partly dealt with, although being highly needed, as recent studies revealed. To address this issue, we therefore propose a conceptual situation evolution model (SEM) for rule-based SAW systems. This allows on the one hand to specify potential situation evolutions at design time, thereby exploiting domain experts' knowledge, and on the other hand serves as enabling mechanism to track actually assessed evolutions at runtime by model-based reasoning.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) |
| Publisher | IEEE |
| Pages | 195-201 |
| Number of pages | 7 |
| ISBN (Print) | 978-1-4799-4857-4 |
| DOIs | |
| Publication status | Published - 2014 |
Fields of science
- 102 Computer Sciences
- 102015 Information systems
- 102027 Web engineering
JKU Focus areas
- Computation in Informatics and Mathematics
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