Abstract
Broadband sonar analysis is used to identify contacts of interest and develop a tactical picture when operating underwater. Sonar analysts must identify significant features from hydrophone recordings and use these to determine the type of contact presented and in which direction it is moving. This is performed with no external views available, leading to dynamic levels of information uncertainty. This work explores how sonar analysts process sonar data and how this differs from the analysis performed by experienced sound engineers. Subject Matter Experts described aural and visual features from hydrophone recordings using a repertory grid method. This was used to gain access to the ĝframes' that the different experts were using, described in terms of constructs and concepts. The concepts are used to design a novel visual display, Visual Intelligent Narrative for Autonomous Systems (VINAS), which is designed to aid contact classification.
Original language | English |
---|---|
Title of host publication | ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction |
Editors | Zakia Hammal, Carlos Busso, Catherine Pelachaud, Sharon Oviatt, Albert Ali Salah, Guoying Zhao |
Publisher | Association for Computing Machinery |
Pages | 487-493 |
Number of pages | 7 |
ISBN (Electronic) | 9781450384810 |
DOIs | |
Publication status | Published - 18 Oct 2021 |
Event | 23rd ACM International Conference on Multimodal Interaction, ICMI 2021 - Virtual, Online, Canada Duration: 18 Oct 2021 → 22 Oct 2021 |
Publication series
Name | ICMI: International Conference on Multimodal Interfaces |
---|
Conference
Conference | 23rd ACM International Conference on Multimodal Interaction, ICMI 2021 |
---|---|
Country/Territory | Canada |
City | Virtual, Online |
Period | 18/10/21 → 22/10/21 |
Bibliographical note
Publisher Copyright:© 2021 Owner/Author.
Keywords
- Defence
- Explainable AI
- Human-Autonomy Teaming
- Trust
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Human-Computer Interaction