Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions.
An elaborated diffusion process model (a Diffusion Model for Conflict Tasks , DMC) is introduced that combines conceptual features of standard diffusion models with the notion of controlled and automatic processes. DMC can account for a variety of distributional properties of reaction time (RT) in c...
| Publicado en: | Cognitive Psychology Vol. 78; pp. 148 - 175 |
|---|---|
| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
May2015
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=102315831&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 102315831 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00100285 COP jtl: Cognitive Psychology issn: 00100285 maglogo: N pubinfo: dt: May2015 vid: 78 pid: 735 pub: Academic Press Inc. artinfo: ui: 102315831 10.1016/j.cogpsych.2015.02.005 ppf: 148 ppct: 27 formats: tig: atl: Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. aug: au: Ulrich, Rolf Schröter, Hannes Leuthold, Hartmut Birngruber, Teresa affil: University of Tübingen, Germany su: Empirical research Stimulus & response (Psychology) Automaticity (Learning process) Reaction time Monte Carlo method sug: subj: Empirical research Stimulus & response (Psychology) Automaticity (Learning process) Reaction time Monte Carlo method keyword: Automatic and controlled processes Conflict tasks Delta functions Delta plots Wiener diffusion process Automatic and controlled processes Conflict tasks Delta functions Delta plots Wiener diffusion process ab: An elaborated diffusion process model (a Diffusion Model for Conflict Tasks , DMC) is introduced that combines conceptual features of standard diffusion models with the notion of controlled and automatic processes. DMC can account for a variety of distributional properties of reaction time (RT) in conflict tasks (e.g., Eriksen flanker, Simon, Stroop). Specifically, DMC is compatible with all observed shapes of delta functions, including negative-going delta functions that are particularly challenging for the class of standard diffusion models. Basically, DMC assumes that the activations of controlled and automatic processes superimpose to trigger a response. Monte Carlo simulations demonstrate that the unfolding of automatic activation in time largely determines the shape of delta functions. Furthermore, the predictions of DMC are consistent with other phenomena observed in conflict tasks such as error rate patterns. In addition, DMC was successfully fitted to experimental data of the standard Eriksen flanker and the Simon task. Thus, the present paper reconciles the prominent and successful class of diffusion models with the empirical finding of negative-going delta functions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|