Manual dexterity refers to the ability to handle and manipulate objects precisely using hands and fingers (Backman et al., 1992). Several standardized tools are commonly used for assessing manual dexterity, such as the Box and Block Test (BBT) and the Minnesota Manual Dexterity Test (MMDT). These tests are mainly used to assess the performance of patients with neuropsychological disorders and are not developed to establish hand dominance, which is typically investigated using self-report measures (e.g. Edinburgh Handedness Inventory, EHI; Oldfield, 1971). However, a tool specifically developed to measure behavioural differences between dominant and non-dominant hands in healthy population is missing. In this study, we propose a Virtual Reality (VR) task, called Buzzwire test, with the aim to validate it. Specifically, we will correlate the performance obtained with the Buzzwire test with those observed with traditional tools (BBT and MMDT) and will test the sensitivity to hand dominance comparing the objective measures of these tests with the scores of the EHI. Participants will perform the three tests (BBT, MMDT, Buzzwire test) in a counterbalanced order to control for order effects. The data collection is underway; results of the analyses will be presented at the conference. We expect that the Buzzwire test will have a high correlation with the traditional tools and a higher sensitivity to establish behavioural differences between dominant and non-dominant hands. These findings would highlight the Buzzwire test as a more objective measure of hand dominance, promoting the application of VR into assessment for a healthy population and people with neuropsychological disorders.