Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Justine Caylor"'
Dynamic Multi-Criteria Decision-Making for Identifying Vulnerable Communities for Emergency Planning
Autor:
Justine Caylor, Robert Hammell
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
Effective decision-making is critical for emergency planners before, during, and after emergencies or disasters. Making a timely decision in these situations is complicated and dynamic, presenting conflicting criteria amongst numerous alternatives. T
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
Information plays a vital role in the courses of action taken on the battlefield. In the era of increased available data and a wide variety of sensors there are various potential sources of rich data that can be collected. However, the uncertainty re
Publikováno v:
Human-Computer Interaction. Theoretical Approaches and Design Methods ISBN: 9783031053108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c2a0f0cccea01e37c561c90c4bdfa24
https://doi.org/10.1007/978-3-031-05311-5_20
https://doi.org/10.1007/978-3-031-05311-5_20
Publikováno v:
2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI).
Publikováno v:
Advances in Human Factors and System Interactions ISBN: 9783030798154
AHFE (7)
AHFE (7)
Decision-making related to emergencies and disasters is a daunting process given the dynamic and complex nature of such events, the wide range of factors to manage, and the large amount of information to consider. To address the challenge, the long-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b5dedfa809cb4fba2bfade49437ebe
https://doi.org/10.1007/978-3-030-79816-1_2
https://doi.org/10.1007/978-3-030-79816-1_2
Publikováno v:
IEEE BigData
Information has a dire role when it comes to decision-making, especially in complex multi-domain operational environments. While it can be assumed that obtaining more information is more beneficial, it can lead towards several challenges. For a decis
Publikováno v:
CogSIMA
One of the central challenges associated with developing situational understanding originates at the information level. The simple fact is while all information may be created equal, the value of that information is not. Confounding this challenge is
Publikováno v:
Journal of Cognitive Engineering and Decision Making. 12:239-247
Trust in automation has been linked to a multitude of performance improvements and implicated in the reduction of human error, stress, and workload. In the present study, trust in automation was examined in an experiment measuring the efficacy of lin
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
Publikováno v:
CogSIMA
Automated systems such as information extraction (IE) pipelines are designed to facilitate situation awareness by providing human decision makers with relevant information, but beyond the validity of the pipeline itself, designing the output of the p