Incorporating individual differences into the adaptive automation paradigm Academic Article uri icon

abstract

  • Adaptive Automation (AA) is the strategy which currently holds the greatest promise to achieve human-machine symbiosis. Individual differences are usually evaluated in the stage of operator selection but often ignored in the process of automation implementation. Our claim is that trait and state measures have a significant impact on how time and effort are allocated to required performance tasks. Thus, the aim of this work is to link trait reactivity with attentional indices that predict behavior and performance in computer mediated environments. How such an achieved symbiosis would affect the design of collective (human-human) organizations is considered briefly.

publication date

  • January 1, 2005