Research on Interactive Design Method of Radar Display and Control Interface under Time Pressure

Research indicates that under high time pressure, an individual's decision-making mechanism is influenced by cognitive factors such as attention and memory, leading to stress responses. This often manifests as the substitution of compensatory decision-making strategies for non-compensatory ones, which, while increasing decision speed, compromises decision quality. Therefore, this study focuses on exploring information interaction design methods for individual decision-making mechanisms under time pressure, aiming to support operators in adopting compensatory decision-making strategies for critical tasks and avoiding the decline in decision quality caused by non-compensatory tendencies. Based on typical radar decision-making tasks and guided by the concept of human-machine collaboration, this study integrates cognitive factors such as attention and memory to propose an information interaction design method for display-control interfaces. The goal is to achieve information layering and reduce users' cognitive load. Taking the radar target allocation task as an example, the study applied the proposed design and conducted comparative experiments. The experimental results demonstrate that the display-control interface design strategy, grounded in human-machine collaboration, effectively mitigates the negative effects of time pressure on participants' cognitive load and task completion time. The proposed design method optimizes the decision-making interaction process, reduces operators' cognitive load, and helps counteract the adverse impact of time pressure on decision strategy selection. It supports operators in adopting compensatory decision-making strategies, thereby improving task performance under time pressure. This method can be widely applied to human-computer interaction design in radar and other industries, providing methodological support for enhancing system interaction performance.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1145/3757940.3757973
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Research on Interactive Design Method of Radar Display and Control Interface under Time Pressure

Xinyan Li, Yushun Liu, Xiaodong Gong, Shanshan Li et al.
Human-Automation Interaction and Safety
article

Research on Interactive Design Method of Radar Display and Control Interface under Time Pressure

Xinyan Li, Yushun Liu, Xiaodong Gong, Shanshan Li, Xin‐Yi Du
article en

Abstract

Research indicates that under high time pressure, an individual's decision-making mechanism is influenced by cognitive factors such as attention and memory, leading to stress responses. This often manifests as the substitution of compensatory decision-making strategies for non-compensatory ones, which, while increasing decision speed, compromises decision quality. Therefore, this study focuses on exploring information interaction design methods for individual decision-making mechanisms under time pressure, aiming to support operators in adopting compensatory decision-making strategies for critical tasks and avoiding the decline in decision quality caused by non-compensatory tendencies. Based on typical radar decision-making tasks and guided by the concept of human-machine collaboration, this study integrates cognitive factors such as attention and memory to propose an information interaction design method for display-control interfaces. The goal is to achieve information layering and reduce users' cognitive load. Taking the radar target allocation task as an example, the study applied the proposed design and conducted comparative experiments. The experimental results demonstrate that the display-control interface design strategy, grounded in human-machine collaboration, effectively mitigates the negative effects of time pressure on participants' cognitive load and task completion time. The proposed design method optimizes the decision-making interaction process, reduces operators' cognitive load, and helps counteract the adverse impact of time pressure on decision strategy selection. It supports operators in adopting compensatory decision-making strategies, thereby improving task performance under time pressure. This method can be widely applied to human-computer interaction design in radar and other industries, providing methodological support for enhancing system interaction performance.

Beijing Institute of Technology (CN), State Key Laboratory of Vehicle NVH and Safety Technology (CN)
Openalex Percentile: Top 72%
Human-Automation Interaction and Safety
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