Literature DB >> 21443332

What can the diffusion model tell us about prospective memory?

Sebastian S Horn1, Ute J Bayen, Rebekah E Smith.   

Abstract

Cognitive process models, such as Ratcliff's (1978) diffusion model, are useful tools for examining cost or interference effects in event-based prospective memory (PM). The diffusion model includes several parameters that provide insight into how and why ongoing-task performance may be affected by a PM task and is ideally suited to analyse performance because both reaction time and accuracy are taken into account. Separate analyses of these measures can easily yield misleading interpretations in cases of speed-accuracy trade-offs. The diffusion model allows us to measure possible criterion shifts and is thus an important methodological improvement over standard analyses. Performance in an ongoing lexical-decision task was analysed with the diffusion model. The results suggest that criterion shifts play an important role when a PM task is added, but do not fully explain the cost effect on reaction time. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

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Year:  2011        PMID: 21443332      PMCID: PMC3148193          DOI: 10.1037/a0022808

Source DB:  PubMed          Journal:  Can J Exp Psychol        ISSN: 1196-1961


  30 in total

1.  Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability.

Authors:  Roger Ratcliff; Francis Tuerlinckx
Journal:  Psychon Bull Rev       Date:  2002-09

2.  A diffusion model analysis of the effects of aging in the lexical-decision task.

Authors:  Roger Ratcliff; Anjali Thapar; Pablo Gomez; Gail McKoon
Journal:  Psychol Aging       Date:  2004-06

3.  Multiple processes in prospective memory retrieval: factors determining monitoring versus spontaneous retrieval.

Authors:  Gilles O Einstein; Mark A McDaniel; Ruthann Thomas; Sara Mayfield; Hilary Shank; Nova Morrisette; Jennifer Breneiser
Journal:  J Exp Psychol Gen       Date:  2005-08

Review 4.  The diffusion decision model: theory and data for two-choice decision tasks.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  Neural Comput       Date:  2008-04       Impact factor: 2.026

5.  The cost of event-based prospective memory: salient target events.

Authors:  Rebekah E Smith; R Reed Hunt; Jennifer C McVay; Melissa D McConnell
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2007-07       Impact factor: 3.051

6.  Number of cues influences the cost of remembering to remember.

Authors:  Anna-Lisa Cohen; Alexander Jaudas; Peter M Gollwitzer
Journal:  Mem Cognit       Date:  2008-01

7.  Fast-dm: a free program for efficient diffusion model analysis.

Authors:  Andreas Voss; Jochen Voss
Journal:  Behav Res Methods       Date:  2007-11

8.  A diffusion model decomposition of the practice effect.

Authors:  Gilles Dutilh; Joachim Vandekerckhove; Francis Tuerlinckx; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2009-12

9.  Normal aging and prospective memory.

Authors:  G O Einstein; M A McDaniel
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1990-07       Impact factor: 3.051

10.  What Costs Do Reveal and Moving Beyond the Cost Debate: Reply to Einstein and McDaniel (in press).

Authors:  Rebekah E Smith
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2010-07-01       Impact factor: 3.051

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  12 in total

1.  A diffusion model analysis of task interference effects in prospective memory.

Authors:  C Dennis Boywitt; Jan Rummel
Journal:  Mem Cognit       Date:  2012-01

2.  Semantic incongruity influences response caution in audio-visual integration.

Authors:  Benjamin Steinweg; Fred W Mast
Journal:  Exp Brain Res       Date:  2016-10-12       Impact factor: 1.972

3.  Prospective Memory, Personality, and Working Memory: A Formal Modeling Approach.

Authors:  Rebekah E Smith; Deborah Persyn; Patrick Butler
Journal:  Z Psychol       Date:  2011

4.  A fresh pair of eyes on prospective memory monitoring.

Authors:  Jill Talley Shelton; Eddie A Christopher
Journal:  Mem Cognit       Date:  2016-08

5.  Integrated responding improves prospective memory accuracy.

Authors:  David Elliott; Luke Strickland; Shayne Loft; Andrew Heathcote
Journal:  Psychon Bull Rev       Date:  2021-12-16

6.  Adult age differences in interference from a prospective-memory task: a diffusion model analysis.

Authors:  Sebastian S Horn; Ute J Bayen; Rebekah E Smith
Journal:  Psychon Bull Rev       Date:  2013-12

7.  The Dynamic Multiprocess Framework: evidence from prospective memory with contextual variability.

Authors:  Michael K Scullin; Mark A McDaniel; Jill Talley Shelton
Journal:  Cogn Psychol       Date:  2013-08-03       Impact factor: 3.468

8.  Automaticity and control in prospective memory: a computational model.

Authors:  Sam J Gilbert; Nicola Hadjipavlou; Matthieu Raoelison
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

9.  Attentional decoupling while pursuing intentions: a form of mind wandering?

Authors:  Anna-Lisa Cohen
Journal:  Front Psychol       Date:  2013-10-01

10.  Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods.

Authors:  Nina R Arnold; Arndt Bröder; Ute J Bayen
Journal:  Psychol Res       Date:  2014-10-04
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