Abstract
Situation awareness (SAW) denotes a human's adequate interpretation of the observed environment, which is of prime relevance for human operators in control center applications (e.g., road and air traffic control). Since humans may lose their SAW due to information overload and time criticality, a series of intelligent systems have been proposed that should support human operators in gaining and maintaining SAW, whereby existing approaches focus more on the gaining aspect so far. However, a comparative evaluation of the distinct approaches has not been the focus up to now, as has been recently acknowledged. Therefore, the present work attempts at filling this gap by providing a comparative evaluation of approaches for gaining and maintaining SAW, thereby focusing on the less studied aspect of support for maintaining SAW. Thus, this survey highlights open issues and directions of further research.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013) |
| Publisher | IEEE Computer Society |
| Pages | 274-281 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-4799-2528-5 |
| Publication status | Published - 2013 |
Fields of science
- 102 Computer Sciences
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102014 Information design
- 102027 Web engineering
JKU Focus areas
- Computation in Informatics and Mathematics