Modelling cognitive and affective load for the design of human-machine collaboration

被引：0
|
作者：
Neerincx, Mark A. [1 ]
机构：
[1] TNO Human Factors, NL-3769 ZG Soesterberg, Netherlands
来源：
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS, PROCEEDINGS | 2007年 / 4562卷
关键词：
mental load; emotion; human-machine collaboration; synthetic or electronic partner; and cognitive engineering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：568 / 574
页数：7
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