Sensor-Based Adaptive Instructional Systems in Live Simulation Training

被引：2

作者：

Bannan, Brenda ^{[1
]}

Torres, Elisa M. ^{[1
]}

Purohit, Hermant ^{[1
]}

Pandey, Rahul ^{[1
]}

Cockroft, Jody L. ^{[2
]}

机构：

[1] George Mason Univ, Fairfax, VA 22030 USA

[2] Univ Memphis, Memphis, TN 38152 USA

来源：

ADAPTIVE INSTRUCTIONAL SYSTEMS, AIS 2020 | 2020年 / 12214卷

关键词：

Internet of Things; Sensors; Mobile behavioral analytics; Adaptive human-machine; Live simulation training; First responders;

D O I：

10.1007/978-3-030-50788-6_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sensor-based, mobile behavioral analytics have much potential for adaptive human-machine interactivity in team- and multiteam-based, live simulation training. This paper will explore a human-technology adaptive system where real-time data is generated from multiple sensor systems to inform multiteam-based training. Examples from first responder law enforcement training contexts will be discussed as well as the future potential of these sensor-based technologies to iteratively and adaptively inform both the smart technology system and the human system in a reciprocal learning cycle.

引用

页码：3 / 14

页数：12