Feature perception in broadband sonar analysis - using the repertory grid to elicit interface designs to support human-autonomy teaming

Faye McCabe, Christopher Baber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction
EditorsZakia Hammal, Carlos Busso, Catherine Pelachaud, Sharon Oviatt, Albert Ali Salah, Guoying Zhao
PublisherAssociation for Computing Machinery
Pages487-493
Number of pages7
ISBN (Electronic)9781450384810
DOIs
Publication statusPublished - 18 Oct 2021
Event23rd ACM International Conference on Multimodal Interaction, ICMI 2021 - Virtual, Online, Canada
Duration: 18 Oct 202122 Oct 2021

Publication series

NameICMI: International Conference on Multimodal Interfaces

Conference

Conference23rd ACM International Conference on Multimodal Interaction, ICMI 2021
Country/TerritoryCanada
CityVirtual, Online
Period18/10/2122/10/21

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

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