返回
Sensor Selection for Dynamics-Driven User-Interface Design
DOI:10.1109/TCST.2021.3056242.png)
摘要
En 中文
We present a method for dynamics-driven, user-interface design for a human-automation system via sensor selection. We define the user interface to be the output of a multiple-input-multiple-output (MIMO) linear time-invariant (LTI) system and formulate the design problem as one of selecting an output matrix from a given set of candidate output matrices. Necessary conditions for situation awareness are captured as additional constraints on the selection of the output matrix. These constraints depend on the level of trust the human has in the automation. We show that the resulting user-interface design problem is a combinatorial, set-cardinality minimization problem with set function constraints. We propose tractable algorithms to compute optimal or suboptimal solutions with suboptimality bounds. Our approaches exploit monotonicity and submodularity present in the design problem and rely on constraint programming and submodular maximization. We apply this method to the IEEE 118-bus, to construct correct-by-design interfaces under various operating scenarios.
Keyword:
Task analysis
User interfaces
Automation
Observability
Linear systems
Cameras
Aerospace electronics
Human-automation interaction
observability
output synthesis
sensor selection
user-interface design
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
4.9K
被引数:
1.7W
机构
引用论文
Computational Modeling of the Dynamics of Human Trust During Human-Machine Interactions人机交互过程中人类信任动态的计算模型
Combinatorial Optimization of Graphical User Interface Designs图形用户界面设计的组合优化
PROCEEDINGS OF THE IEEE
IF25.9

