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Visualisation issues in the context of Information Fusion

Visualisation issues in the context of Information Fusion. Jean-Rémi Duquet Lockheed Martin Canada Jean-Yves Fiset Systèmes Humains-Machines Inc Hélène L’Heureux École Polytechnique de Montréal. Plan. Data Fusion - overview Data Fusion – human factors issues Tagci – an HMI Design method

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Visualisation issues in the context of Information Fusion

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  1. Visualisation issues in the context of Information Fusion Jean-Rémi Duquet Lockheed Martin Canada Jean-Yves Fiset Systèmes Humains-Machines Inc Hélène L’Heureux École Polytechnique de Montréal

  2. Plan • Data Fusion - overview • Data Fusion – human factorsissues • Tagci – an HMI Design method • Research – adapting Tagci for data fusion applications

  3. Data Fusion - Overview • Data / Information Fusion can be seen as: • Knowledge Composition (e.g. Feature Extraction) • Evidence Aggregation • Decision (e.g. plot symbol as AIR HOSTILE, put on threat list)

  4. Data Fusion Overview SAR Hierarchical Classifier FLIR Shape-Matching Classifier 70 % Destroyer20 % Frigate10 % Unknown 80 % Merchant20 % Unknown Human Analysis Surface Radar (Location) Intelligence reports (Location, ID, Emitters, Freq)

  5. Data Fusion – Human Factors Issues • Use & display of fuzzified / uncertain identity statements • Large tree of “Identity Propositions” created by aggregation process • Conflicts management, recovery from errors and deception • Output stability (e.g. friend /foe oscillations, multi-scan tracking) • Algorithmic issues related to • HUMINT, human analysis, self-intoxication • Human inputs as part of fusion process (e.g. correlation, aggregation) • Fusion process (self- ?) monitoring • Usability / function allocation issues (SA display, cues and alerts )

  6. Data Fusion – Human Factors Issues • Test Bed Human-Machine Interface

  7. Data Fusion – Human Factors Issues • Test Bed Human-Machine Interface

  8. HMI Methodology Requirements for DF • Simple to learn and apply • Smooth interface with SW engineering • Allows technological uncertainty • Information Requirements: obvious “common ground” between DF development and CE methodologies

  9. G g1 g2 g3 Tagci – An HMI Design Method HMI Getting on with the job Generic model of the operator’s task Matching process models HMI Content and Organization Tagci Operator’s behaviour HMI design principles Information architecture

  10. Tagci • Goal Modeling, Detection Task and DF

  11. G g1 g2 g3 g4 g5 g6 An example Tagci-based display sketch Data Fusion Info. Srce Info. Srce Area, personnel and equipment Info. Srce Info. Srce Hierarchy of Military Goal(s) • Tagci-based display • Goal monitoring • Support for compensation

  12. Research Agenda • Fine tuning of generic tasks • Built-in operator strategies • Enhanced visualization primitives

  13. Conclusion • Data fusion is a complex process in itself • Numerous human factors complicate HMI design • HMI design must consider domain, tasks, operator, HMI design rules • Tagci integrates several sources of knowledge to design HMIs for monitoring and controlling complex systems • Potential for monitoring and controlling DF processs • Optimizations to Tagci for DF applications are being examined

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