Literature DB >> 26836390

Resistance to change and resurgence in humans engaging in a computer task.

Toshikazu Kuroda1, Carlos R X Cançado2, Christopher A Podlesnik3.   

Abstract

The relation between persistence, as measured by resistance to change, and resurgence has been examined with nonhuman animals but not systematically with humans. The present study examined persistence and resurgence with undergraduate students engaging in a computer task for points exchangeable for money. In Phase 1, a target response was maintained on a multiple variable-interval (VI) 15-s (Rich) VI 60-s (Lean) schedule of reinforcement. In Phase 2, the target response was extinguished while an alternative response was reinforced at equal rates in both schedule components. In Phase 3, the target and the alternative responses were extinguished. In an additional test of persistence (Phase 4), target responding was reestablished as in Phase 1 and then disrupted by access to videos in both schedule components. In Phases 2 and 4, target responding was more persistent in the Rich than in the Lean component. Also, resurgence generally was greater in the Rich than in the Lean component in Phase 3. The present findings with humans extend the generality of those obtained with nonhuman animals showing that higher reinforcement rates produce both greater persistence and resurgence, and suggest that common processes underlie response persistence and relapse.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Behavioral momentum theory; Computer task; Humans; Reinforcement rate; Relapse; Resistance to change; Resurgence

Mesh:

Year:  2016        PMID: 26836390     DOI: 10.1016/j.beproc.2016.01.010

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  4 in total

Review 1.  Resurgence as Choice.

Authors:  Timothy A Shahan; Andrew R Craig
Journal:  Behav Processes       Date:  2016-10-26       Impact factor: 1.777

2.  Baseline reinforcement rate and resurgence of destructive behavior.

Authors:  Wayne W Fisher; Valdeep Saini; Brian D Greer; William E Sullivan; Henry S Roane; Ashley M Fuhrman; Andrew R Craig; Ryan T Kimball
Journal:  J Exp Anal Behav       Date:  2018-11-29       Impact factor: 2.468

3.  Behavioral momentum theory fails to account for the effects of reinforcement rate on resurgence.

Authors:  Andrew R Craig; Timothy A Shahan
Journal:  J Exp Anal Behav       Date:  2016-05       Impact factor: 2.468

4.  Quantitative analysis of local-level resurgence.

Authors:  John Y H Bai; Sarah Cowie; Christopher A Podlesnik
Journal:  Learn Behav       Date:  2017-03       Impact factor: 1.986

  4 in total

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