Both excessive and insufficient information density weaken situation awareness
Aliases: information overload · display density · layered display
What it is
Information-density calibration balances missing decisive state against burying change. Too little removes cause and trend; too much slows search. Appropriate density depends on role, time pressure, and anomaly, not widget count.
Why it happens
Visual search and working memory are limited. Sparse displays force inference; dense displays create competition. Layering, anomaly prominence, and drill-down compress normal information while retaining diagnosis, unless aggregation hides outliers.
Studying it
Aggregation, concurrent elements, and alarm rate can vary using comprehension, detection, search, gaze, workload, and intervention in nominal and abnormal phases. Preference for simplicity is not awareness.
Where it stops holding
Experts use density better but retain limits; novices need explanatory structure, not deletion. Bigger screens do not increase cognition. Filter failure must be visible with raw evidence available.
Applying it
- Default to goal, constraints, trend, and anomalies with causal drill-down.
- Rank by information value and action window, not equal subsystem space.
- Test simultaneous anomalies and filter misses, checking whether aggregation averages away severe outliers.
Related
- Same group: X4.07.1 Situation awareness covers current state, change trends, and future projection · X4.07.2 Situation awareness decays during long uneventful supervision · X4.07.4 Loss of situation awareness is often discovered only when intervention is required
- Adjacent: X4.03 Supervisory control · X7.07 Aggregated multi-robot state presentation
- Search terms:
information density·information overload·ecological interface design