Gender Differences in Haptic Parallelity Matching

DOI

Previous studies have reported gender differences in performance when two bars have to be set parallel to each other haptically, with females having significantly larger deviations than males. Recent results comparing male participants with and without action video game experience showed that the former performed significantly better than the latter in the aforementioned haptic parallelity task. Considering that males more often engage in action video gaming, the observed performance differences between male and female participants might be related to gaming experience rather than gender. This was investigated in the current study by comparing haptic parallelity performance in males with action video gaming experience and in males and females without this experience. The results showed that male participants with as well as without action video gaming experience performed significantly better than female participants. These results suggest that differences in haptic parallelity matching between males and females seem to be related to gender, rather than action video gaming experience. When performing the parallelity task visually, no significant differences were found between the three groups, corroborating earlier hypotheses that women are less able to ignore the bias of the egocentric hand-centered reference frame than men when haptically paralleling orientations.

Identifier
DOI https://doi.org/10.34894/RDE8DU
Related Identifier IsCitedBy https://doi.org/10.4236/psych.2021.124038
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/RDE8DU
Provenance
Creator Van Mier, Hanneke I. ORCID logo
Publisher DataverseNL
Contributor Van Mier, Hanneke I.; faculty data manager FPN
Publication Year 2021
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Van Mier, Hanneke I. (Maastricht University); faculty data manager FPN (Maastricht University)
Representation
Resource Type Experimental data; Dataset
Format application/x-spss-sav
Size 2970
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences