A growing body of research has suggested that horizontal saccadic eye movements facilitate the retrieval of episodic memories in free recall and recognition memory tasks. Nevertheless, a minority of studies have failed to replicate this effect. This article attempts to resolve the inconsistent results by introducing a novel variant of proponent-skeptic collaboration. The proposed approach combines the features of adversarial collaboration and purely confirmatory preregistered research. Prior to data collection, the adversaries reached consensus on an optimal research design, formulated their expectations, and agreed to submit the findings to an academic journal regardless of the outcome. To increase transparency and secure the purely confirmatory nature of the investigation, the 2 parties set up a publicly available adversarial collaboration agreement that detailed the proposed design and all foreseeable aspects of the data analysis. As anticipated by the skeptics, a series of Bayesian hypothesis tests indicated that horizontal eye movements did not improve free recall performance. The skeptics suggested that the nonreplication may partly reflect the use of suboptimal and questionable research practices in earlier eye movement studies. The proponents countered this suggestion and used a p curve analysis to argue that the effect of horizontal eye movements on explicit memory did not merely reflect selective reporting.

Download full-text PDF

Source
http://dx.doi.org/10.1037/xge0000038DOI Listing

Publication Analysis

Top Keywords

eye movements
16
horizontal eye
12
free recall
12
adversarial collaboration
12
purely confirmatory
8
horizontal
4
movements
4
movements free
4
recall preregistered
4
preregistered adversarial
4

Similar Publications

Recognizing drivers' sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.

Comput Methods Biomech Biomed Engin

January 2025

School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.

Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.

View Article and Find Full Text PDF

Eye movement detection algorithms (e.g., I-VT) require the selection of thresholds to identify eye fixations and saccadic movements from gaze data.

View Article and Find Full Text PDF

The theory of expertise suggests that there should be observable differences in the eye movement patterns between experts and non-experts. Previous studies have investigated how expertise influences eye movement patterns during cognitive tasks like reading. However, the impact of expertise on eye movements in comics, a multimodal form of text, remains unexplored.

View Article and Find Full Text PDF

The primary aim of this descriptive cross-sectional study was to examine the relationship between ocular motility and motor skills in school-age children. Participants included 142 schoolchildren (mean age: 7.08 ± 0.

View Article and Find Full Text PDF

Across two experiments, we implemented a novel gaze-contingent eye-tracking paradigm to investigate the early emergence of memory benefits from active control over exploration and to examine how exploratory behaviours affect memory formation in early development. Toddlers (experiment 1: = 36, 18-36 months; experiment 2: = 41, 23-36 months) were either allowed to actively control their exploration (active condition) or presented with the same information that they could only passively observe (passive condition in experiment 1; yoked condition in experiment 2). They were then tested in a preferential-looking paradigm in which familiar versus novel stimuli were presented in pairs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!