Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms

Author:

Fromm Jennifer,Eyilmez Kaan,Baßfeld Melina,Majchrzak Tim A.,Stieglitz Stefan

Abstract

AbstractDuring crisis situations, emergency operators require fast information access to achieve situation awareness and make the best possible decisions. Augmented reality could be used to visualize the wealth of user-generated content available on social media and enable context-adaptive functions for emergency operators. Although emergency operators agree that social media analytics will be important for their future work, it poses a challenge to filter and visualize large amounts of social media data. We conducted a goal-directed task analysis to identify the situation awareness requirements of emergency operators. By collecting tweets during two storms in Germany we evaluated the usefulness of Twitter data for achieving situation awareness and conducted interviews with emergency operators to derive filter strategies for social media data. We synthesized the results by discussing how the unique interface of augmented reality can be used to integrate social media data into emergency control rooms for situation awareness support.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Reference102 articles.

1. Ahmed, A. (2011). Use of social media in disaster management. Paper presented at the international conference on information systems. China: Shanghai.

2. Alam, F., Ofli, F., & Imran, M. (2020). Descriptive and visual summaries of disaster events using artificial intelligence techniques: Case studies of hurricanes Harvey, Irma, and Maria. Behaviour & Information Technology, 39(3), 288–318.

3. Aupetit, M., & Imran, M. (2017). Interactive monitoring of critical situational information on social media. Paper presented at the international conference on information Systems for Crisis Response and Management, Albi, France.

4. Avvenuti, M., Cresci, S., Del Vigna, F., Fagni, T., & Tesconi, M. (2018). CrisMap: A big data crisis mapping system based on damage detection and geoparsing. Information Systems Frontiers, 20(5), 993–1011.

5. Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators and Virtual Environments, 6(4), 355–385.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3