Work

Modeling Automaticity and Strategy Selection in Dynamic Visual Detection

Year: 2018

Type: article

Abstract: A model of human automaticity in a dynamic visual task (RADAR) is reported. This model represents a first approximation for a model that reproduces the main results from human participants collected by Young, Healy, Gonzalez, and Bourne (2007). The initial results on response time demonstrate high degree of fidelity (R2=0.98) using a process model derived directly from task requirements. The model leverages the ACT-R cognitive architecture (Anderson & Lebiere, 1998) and depends primarily on assumptions that have been imported from previous modeling efforts. The model is an instantiation of a dual-process theory of automaticity that is mediated by a strategy selection stage.

Source: Figshare

DOI: 10.1184/r1/6571268

Authors: Best, Bradley J., Gonzalez, Cleotilde, Young, Michael D., Healy, Alice F., Bourne, Lyle E.

Institutions: Carnegie Mellon University, University of Colorado Boulder

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funders: Multidisciplinary University Research Initiative, Army Research Office

Award: G6042344398