Restoring Attentional Resources With Nature: A Replication Study of Berto’s (2005) Paradigm Including Commentary From Dr. Rita Berto

Brittany N. Neilson, Curtis M. Craig, Raelyn Y. Curiel, Martina I. Klein

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Objective: The aim of this study is to replicate Berto’s (2005) heavily cited work on attention restoration. Background: Nature interventions have gained increased interest for improving performance of attentionally demanding tasks. Berto (2005) indicated that viewing digital nature images could improve performance on a subsequent response inhibition task, the sustained attention to response task (SART). However, experimental design and statistical concerns about her experiments as well as failure to support her findings across multiple unpublished studies in our laboratory provided rationale for this replication study. Method: Twenty participants were each assigned to one of three digital image conditions: nature, urban, and control. Participants performed the SART before and after digital image exposure. Results: SART performance metrics (total correct target responses, mean response time, and transformed d′) were analyzed using 2 (SART) × 3 (image interventions) mixed design ANOVAs. The results failed to replicate Berto (2005). Conclusion: Possible reasons for not replicating Berto (2005) are discussed, including (1) sample differences, (2) different testing environments and procedures, (3) insufficient attentional depletion, and (4) individual differences. Applications: Research needs to determine the effectiveness of such interventions, the specific attention tasks that might benefit, and the individual difference variables relevant for attention restoration.

Original languageEnglish (US)
JournalHuman Factors
StateAccepted/In press - 2020

Bibliographical note

Publisher Copyright:
© Copyright 2020, Human Factors and Ergonomics Society.

Copyright 2020 Elsevier B.V., All rights reserved.


  • attentional processes
  • environmental design
  • fatigue
  • multiple resource models
  • replication

PubMed: MeSH publication types

  • Journal Article

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