Ecological models of human performance based on affordance, emotion and intuition.
This paper proposes a complementary approach to Rasmussen's taxonomy of the human skill-, rule-, and knowledge-based performance models by combining the ecological concept of affordances with the neural concepts of human emotion and intuition. The classical cognitive engineering framework is extended through the neuro-ecological approach, including personal human attributes important in exercising control over the work environment. The proposed affordance-, emotion-, and intuition-based models correspond to the three types of human performance, namely: learning, adaptive and tuning control, respectively. The new framework is not a predictive model of the operator behaviour, but rather it describes the processes of neuro-ecological control of the human environment.
Gielo-Perczak
Krystyna
K
Liberty Mutual Research Center for Safety & Health, 71 Frankland Road, Hopkinton, MA 01748, USA. Krystyna.Gielo-Perczak@LibertyMutual.com
Karwowski
Waldemar
W
D003071:Cognition; D003198:Computer Simulation; D004463:Ecology; D004644:Emotions / Q000502:physiology*; D006804:Ergonomics; D006801:Humans; D019545:Intuition / Q000502:physiology*; D007858:Learning / Q000502:physiology; D008328:Man-Machine Systems; D008960:Models, Psychological; D021641:Recognition, Psychology; D013647:Task Performance and Analysis