Tools
ToolsKaraca, Y., Sarsar, G., Dogan, H. and Giff, S., 2025. Generative AI to enhance situational awareness and collaboration: A co-worker for tech support in enterprise environments. In: 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 1324-1331.
Full text available as:
![[thumbnail of IEEE_CAI_GenAI to Enhance SA AAM.pdf]](https://eprints.bournemouth.ac.uk/style/images/fileicons/application_pdf.png "IEEE_CAI_GenAI to Enhance SA AAM.pdf") |
PDF
IEEE_CAI_GenAI to Enhance SA AAM.pdf - Accepted Version Restricted to Repository staff only until 7 July 2027. Available under License Creative Commons Attribution. 780kB |
|
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1109/CAI64502.2025.00250
Abstract
Generative AI (GenAl) is revolutionizing enterprise operations by enhancing Situational Awareness (SA) and decision-making. This paper integrates insights from the OODA Loop and the Agent Teaming Situation Awareness (ATSA) framework to explore human-AI team (HAT) collaboration in tech support. Key themes include Shared Situational Awareness (SSA), Shared Mental Models (SMMs), Belief-Desire-Intention (BDI), and Explainable AI (XAI). Emphasizing trust and transparency, the paper proposes a hybrid system to address challenges in achieving trust in AI systems. Findings demonstrate how GenAl improves productivity while fostering adaptability and trust in dynamic enterprise environments.
| Item Type: | Book Section |
|---|---|
| ISBN: | 9798331524012 |
| Group: | Faculty of Media, Science and Technology |
| ID Code: | 41357 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 10 Mar 2026 15:00 |
| Last Modified: | 10 Mar 2026 15:00 |
Downloads
Downloads per month over past year
| Repository Staff Only - |