Human-Machine Interaction Tool Developments in Defense Area: Introduction of AWARE and DaViTo

被引：0
作者：
Yang, Ji Hyun [1 ]
机构：
[1] Kookmin Univ, Dept Automot Engn, Seoul 136702, South Korea
来源：
2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2015年
关键词：
Human-Machine Interaction; military operation; situated perception; data visualization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper reviews two useful tools, AWARE and DaViTo, developed for solders in field operation with a viewpoint of Human-Machine Interaction. The AWARE a mobile, multimodal software application designed to help identify the impact of particular socio-technological configurations on situated perception of humans operating in complex field operation. The field experiment demonstrated the potential use of the A WARE tool as a measure of objective performance. The DaViTo is a data exploration tool that could be used to discover patterns and to analyze huge amounts of data that are generated in today's sophisticated military operational environments. Twenty-four participants participated in three sessions on using DaViTo over a three-week period. Empirical data was evaluated and potential improvements to enhance the usability and effectiveness of DaViTo were suggested.
引用
收藏
页码：1881 / 1884
页数：4
相关论文
共 50 条
  • [21] Improvement of human-machine interaction with applications to information retrieval system
    Vitsentiy, V
    2002 FIRST INTERNATIONAL IEEE SYMPOSIUM INTELLIGENT SYSTEMS, VOL 1, PROCEEDINGS, 2002, : 363 - 368
  • [22] Assistance in human-machine interaction: a conceptual framework and a proposal for a taxonomy
    Wandke, H.
    THEORETICAL ISSUES IN ERGONOMICS SCIENCE, 2005, 6 (02) : 129 - 155
  • [23] The Prospect of Smart Cars: Intelligent Structure and Human-machine Interaction
    Zhou, Yimin
    Xu, Guoqing
    Qin, Feiyan
    Xu, Kun
    Wang, Gang
    Ou, Yongsheng
    Lin, Guilin
    Zhang, Qi
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 1899 - 1904
  • [24] Modeling of Human-Machine Interaction in an Industrial Exoskeleton Control System
    Jatsun, Sergey
    Malchikov, Andrei
    Loktionova, Oksana
    Yatsun, Andrey
    INTERACTIVE COLLABORATIVE ROBOTICS, ICR 2020, 2020, 12336 : 116 - 125
  • [25] Neuromorphic Nanoionics for Human-Machine Interaction: From Materials to Applications
    Liu, Xuerong
    Sun, Cui
    Ye, Xiaoyu
    Zhu, Xiaojian
    Hu, Cong
    Tan, Hongwei
    He, Shang
    Shao, Mengjie
    Li, Run-Wei
    ADVANCED MATERIALS, 2024, 36 (37)
  • [26] Scoping Review on Human-Machine Interaction and Health and Safety at Work
    Robelski, Swantje
    Wischniewski, Sascha
    HCI IN BUSINESS, GOVERNMENT, AND ORGANIZATIONS: INFORMATION SYSTEMS, HCIBGO 2016, PT II, 2016, 9752 : 337 - 347
  • [27] Human-machine interaction compensating imperfection in facial expression recognition
    Sato, Mie
    Shang Yuyi
    Kasuga, Masao
    TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, : 2598 - +
  • [28] Formal detection of three automation surprises in human-machine interaction
    Ukawa, Y
    Ushio, T
    Adachi, M
    Takai, S
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2004, E87A (11) : 2878 - 2884
  • [29] Unobtrusive Tremor Detection and Measurement via Human-Machine Interaction
    Guettler, J.
    Shah, R.
    Georgoulas, C.
    Bock, T.
    6TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2015)/THE 5TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2015), 2015, 63 : 467 - 474
  • [30] A Brief Review of Unmanned Underwater Vehicle Human-Machine Interaction
    Ayob, A. F.
    Arshad, M. R.
    Jamaludin, S.
    Ahmad, S. Z. A. Syed
    2022 IEEE 9TH INTERNATIONAL CONFERENCE ON UNDERWATER SYSTEM TECHNOLOGY: THEORY AND APPLICATIONS, USYS, 2022,
12345