Attention in hindsight: Using stimulated recall to capture dynamic fluctuations in attentional engagement.

Attentional engagement Probe methods Retrospective attention Stimulated recall

Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
28 Nov 2023
Historique:
accepted: 16 10 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 28 11 2023
Statut: aheadofprint

Résumé

Attentional engagement is known to vary on a moment-to-moment basis. However, few self-report methods can effectively capture dynamic fluctuations in attentional engagement over time. In the current paper, we evaluated the utility of stimulated recall, a method wherein individuals are asked to remember their subjective states while using a mnemonic cue, for the measurement of temporal changes in attentional engagement. Participants were asked to watch a video lecture, during which we assessed their in-the-moment levels of attentional engagement using intermittent thought probes. Then, we used stimulated recall by cueing participants with short video clips from the lecture to retrospectively assess the levels of attentional engagement they had experienced when they first watched those clips within the lecture. Experiment 1 assessed the statistical overlap between in-the-moment and video-stimulated ratings. Experiment 2 assessed the generalizability of video-stimulated recall across different types of lectures. Experiment 3 assessed the impact of presenting video-stimulated probe clips in non-chronological order. Experiment 4 assessed the effect of video-stimulated recall on its own. Across all experiments, we found statistically robust correspondence between in-the-moment and video-stimulated ratings of attentional engagement, illustrating a strong convergence between these two methods of assessment. Taken together, our findings indicate that stimulated recall provides a new and practical methodological approach that can accurately capture dynamic fluctuations in subjective attentional states over time.

Identifiants

pubmed: 38017200
doi: 10.3758/s13428-023-02273-4
pii: 10.3758/s13428-023-02273-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Psychonomic Society, Inc.

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Auteurs

Effie J Pereira (EJ)

Department of Psychology, University of Waterloo, PAS Building, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada. effie.pereira@uwaterloo.ca.

Samantha Ayers-Glassey (S)

Department of Psychology, University of Waterloo, PAS Building, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.

Jeffrey D Wammes (JD)

Department of Psychology, Queen's University, Humphrey Hall, 62 Arch Street, Kingston, ON, K7L 3N6, Canada.

Daniel Smilek (D)

Department of Psychology, University of Waterloo, PAS Building, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.

Classifications MeSH