Human Performance Augmentation in Context: Using Artificial Intelligence to Deal with Variability—An Example from Narrative Influence
| Autor: | Matthias Ziegler, William Casebeer, Amanda Kraft, Bartlett Russell, Jason Poleski |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Radicalization
National security business.industry Computer science Suite 05 social sciences Context (language use) Data science 050105 experimental psychology Domain (software engineering) 03 medical and health sciences 0302 clinical medicine Information Operations Robot 0501 psychology and cognitive sciences Narrative business 030217 neurology & neurosurgery |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319914664 HCI (16) |
| DOI: | 10.1007/978-3-319-91467-1_3 |
| Popis: | Bringing together humans and machines in a performance-improving symbiosis requires giving our digital assistants, robots and other artificial teammates the ability to better understand the states of their human colleagues. In this paper, we discuss how technology can be used to assess human reactions to information, a critical technology development both for enabling the development of influence assessment tools, and for human-machine teaming. Developing technology suites to detect and exert influence is of paramount importance in a world where kinetic and non-kinetic effects interact to produce final outcomes in the national security domain. We discuss development of a comprehensive technology suite to allow the US and its Allies to detect and disrupt radicalization processes in multiple media; the suite is distinguished by its use of human-in-the-loop cognitive testing to allow rapid retailoring of information activity, and could give military personnel entirely new capabilities to understand and influence the information environment. |
| Databáze: | OpenAIRE |
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