ArticleCannabis (Albuquerque, N.M.)2026
Examining the Reliability and Utility of MouseView.js as a Method to Measure Attentional Bias for Cannabis Use.
Article in Cannabis (Albuquerque, N.M.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: Current methods of assessing cannabis-related attentional bias such as modified Stroop tasks are characterized by several limitations, including low reliability. The goal of the present study was to explore the reliability and utility of a novel methodological tool that is a proxy for eye-tracking-MouseView.js-to examine cannabis-related attentional bias. Method: Canadian postsecondary students ( Results: A total of 368 participants (64.4%) did not use cannabis, 138 (23.8%) used cannabis recreationally, and 74 (12.8%) used cannabis at problematic levels. The reliability estimates for cannabis images, neutral images, and attentional bias scores ranged from acceptable to excellent. There was a main effect of image, such that all participants spent more time viewing cannabis relative to neutral images, indicative of an attentional bias. The main effects for cannabis use status and interactions between cannabis use status and image type were not statistically significant. Conclusions: Taken together, the present findings suggest MouseView.js may be a reliable method to assess cannabis-related attentional biases.
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