The Distributed Sensemaking Worksystem Screening Tool: �A Questionnaire for Formatively Evaluating Collaborative Sensemaking Environments��(ICCRTS Paper 68)
Simon Attfield, Andrew Leggatt, Huw Gibson, George Raywood-Burke, Nicola Turner
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Introduction
What is Sensemaking?
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Introduction
What is Sensemaking?
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Introduction
The Distributed Sensemaking Worksystem Screening Tool (DSM WST)
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Nine Principles for Distributed Sensemaking
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Attfield, Minocha, Elliott, Fields, Baber, Hutton, Leggatt, Harryman (2021). Nine Principles for Supporting Distributed Sensemaking, Naturalistic Decision Making and Resilience Engineering Symposium 2021, Toulouse, France.
Elliott, Attfield, Minocha, Fields, Hutton, Baber (2020) Enhancing Sensemaking: Supporting Distributed Groups in the Future Operating Environment. 25th International Command and Control Research & Technology Symposium (ICCRTS).
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Item Generation and refinement
1. Initial set of 106 items (questions) based on capabilities referred to in the nine principles.
e.g. Principle 1 - Provide sufficient cues for sufficient sensemaking.
2. Item reduction by research team to maximise coverage and minimise duplication.
3. Qualitative Feedback by three military and three non-military reviewers (professionals).
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Rating and Weighting
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Principles may not apply universally to all sensemaking settings and tasks.
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DSM WST
Three Parts:
1. Cues and Clues
2. Working with and manipulating information
3. Information reliability and sources
4. Background knowledge
5. Time to think and respond
9. Common Ground
7. Considering alternatives
8. Giving explanations
6. Discussing what things mean
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Example Application
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Experimental Design
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Situational Common Ground Manipulation�(within participants)
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Shared Unit
See locations of all units, plus any fire occurring within one grid square of all units.
God’s Eye
See locations of all units plus all fire.
Unit Only
See locations of own units only, plus fire occurring within one grid square of own units.
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Cultural Common Ground Manipulation�(between participants)
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Summative Analysis
A mixed ANOVA showed
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Mean aggregated, weighted DSM WST ratings shown for different levels of Interface View (Gods Eye vs. Shared Unit vs. Unit Only) and the two levels of Post-It task (Post-it vs. No Post-it).
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Analysis by Weighted Item
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Conclusion
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