TY - GEN
T1 - Research on Interactive Design Method of Radar Display and Control Interface under Time Pressure
AU - Liu, Yushun
AU - Li, Shanshan
AU - Du, Xueqi
AU - Li, Xinyan
AU - Gong, Xiaodong
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/9/11
Y1 - 2025/9/11
N2 - 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.
AB - 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.
KW - Compensatory decision strategy
KW - Decision-making
KW - Design meth
KW - Interaction design
KW - Time pressure
UR - https://www.scopus.com/pages/publications/105017974285
U2 - 10.1145/3757940.3757973
DO - 10.1145/3757940.3757973
M3 - Conference contribution
AN - SCOPUS:105017974285
T3 - Proceedings of 2025 5th International Conference on Control and Intelligent Robotics, ICCIR 2025
SP - 195
EP - 206
BT - Proceedings of 2025 5th International Conference on Control and Intelligent Robotics, ICCIR 2025
PB - Association for Computing Machinery, Inc
T2 - 5th International Conference on Control and Intelligent Robotics, ICCIR 2025
Y2 - 20 June 2025 through 22 June 2025
ER -