计算机科学
显著性(神经科学)
自动化
交叉口(航空)
停留时间
软件
期望理论
飞机
软件工程
工程类
运输工程
人工智能
机械工程
医学
临床心理学
管理
经济
程序设计语言
航空航天工程
标识
DOI:10.1177/10711813241275074
摘要
For safety-critical tasks, such as landing an airplane and driving through an intersection, operators must find critical information quickly, which depends upon where they are likely to look, specifically dwell percentages. These values can be estimated using the SEEV computational model which includes four primary factors: Salience, Effort, Expectancy, and Value. To assist the practitioner developing interfaces for these and other tasks, this paper describes each factor in detail, provides example hand calculations, and identifies computational software for complex analyses (e.g., the Automation Design Advisor Tool, the Adaptive Information Expectancy Model, the Human Efficiency Evaluator, MIDAS, Automation Design Advisor Tool, and Eijssen’s SEEV model). Getting access to this software can be challenging.
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