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Modelling Cognitive and Affective Load for the Design of Human-Machine Collaboration.

Authors :
Carbonell, Jaime G.
Siekmann, Jörg
Harris, Don
Neerincx, Mark A.
Source :
Engineering Psychology & Cognitive Ergonomics; 2007, p568-574, 7p
Publication Year :
2007

Abstract

We are developing models for hybrid human-machine systems that can cope autonomously with unexpected, complex and potentially hazardous situations. The synthetic or electronic partner (ePartner) has to acquire and maintain knowledge of the (momentary) cognitive and affective load of the tasks and situation, and the capacities of the human partner (hPartner) to cope with this load. For adequate partnership, cognitive and affective load models are needed that support shared situation awareness, trust and scrutability. This paper presents two such models that are being developed and tested for military and space operations in situated cognitive engineering cycles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540733300
Database :
Supplemental Index
Journal :
Engineering Psychology & Cognitive Ergonomics
Publication Type :
Book
Accession number :
33150002
Full Text :
https://doi.org/10.1007/978-3-540-73331-7_62