Dataset - Acceptance of XR technology in Automotive industry using extended TAM model

Description

This study investigates the factors influencing the acceptance of Extended Reality (XR) technologies in the automotive industry by extending the Technology Acceptance Model (TAM) with four context-specific constructs: perceived safety, trust, cognitive load, and visual distraction. Data were collected from 104 respondents via an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. Results confirm the core TAM relationships: perceived usefulness significantly influences both attitude (β = 0.618, p < 0.001) and behavioral intention (β = 0.384, p < 0.001), while attitude strongly predicts behavioral intention (β = 0.542, p < 0.001). Among the extended constructs, trust (β = 0.304, p = 0.001) and perceived safety (β = 0.399, p < 0.001) significantly enhance perceived usefulness, confirming their relevance in the automotive context. In contrast, cognitive load and visual distraction did not produce significant effects, likely due to the limited hands-on XR experience of the sample. The model explains 73.2% of the variance in behavioral intention. These findings offer both theoretical contributions.

Institutions

• University of Hassan II Casablanca

  Casablanca-Settat, Casablanca

Categories

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