Workload-Matched Adaptive Automation Support of Air Traffic Controller Information Processing Stages
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Summary
This study investigates the effectiveness of adaptive automation (AA) across different stages of human information processing in air traffic control (ATC) environments. While previous research focused primarily on AA for early-stage sensory and psychomotor functions, this work addresses a gap in understanding how AA impacts higher-order cognitive tasks, such as analysis and decision-making. The research aims to determine whether human operators adapt more effectively to dynamic function allocation when it is applied to lower-level functions (information acquisition and action implementation) compared to cognitive functions. The experiment involved 47 university students performing a primary dynamic control task simulating ATC operations and a secondary gauge-monitoring task. The primary task required participants to locate and clear aircraft from a radar display using a limited "keyhole" view. The secondary task served as a workload indicator; when performance dropped below a threshold, the system automatically shifted control allocations without warning. The study compared five conditions: manual control, and AA applied to four distinct information processing stages: Information Acquisition (automated portal movement), Information Analysis (display of aircraft data tables), Decision Making (automated selection of aircraft to clear), and Action Implementation (automated execution of clearance steps). The results demonstrated that the effectiveness of AA is dependent on the specific stage of task performance being automated. Participants adapted significantly better to AA applied to lower-level sensory and psychomotor functions, specifically information acquisition and action implementation. In contrast, AA applied to cognitive tasks, such as information analysis and decision-making, was less effective. The findings suggest that humans struggle to adapt to dynamic changes in automation when those changes affect higher-order cognitive processes. However, AA was generally more effective than completely manual control across all conditions, supporting its utility in reducing workload and improving performance when designed appropriately. The significance of these findings lies in their implications for the design of aviation automation systems. The study challenges the assumption that maximum automation is always beneficial, particularly for cognitive functions. It suggests that AA should be prioritized for monitoring, tracking, and action implementation tasks, where humans can more easily adapt to dynamic shifts in control. Conversely, caution is advised when applying AA to decision-making and analysis functions, as these may lead to poorer adaptation and potential performance decrements. This research provides a framework for human-centered automation design, emphasizing the need to align automation strategies with the specific cognitive demands of the task to ensure optimal human-machine system performance.
Key finding
Humans adapt more effectively to adaptive automation when it is applied to lower-level sensory and psychomotor functions than when it is applied to higher-level cognitive tasks such as decision-making.
Methodology
simulator
Sample size: 47
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-27.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-27 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-07 |
| chunk | success | chunk | — | — | 1 | 2026-06-07 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-07 |
| enrich | skipped | — | — | — | 4 | 2026-07-02 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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