The increasing presence of Advanced Driver Assistance Systems (ADAS) in modern vehicles under-scores the need to assess user acceptance, which is essential for the effective integration of these tech-nologies. This study introduces and validates the ADAS Acceptance Test (ADASAT), a novel question-naire grounded in the Technology Acceptance Model (TAM). A sample of 347 Italian drivers completed the instrument, which evaluates four TAM constructs: Perceived Usefulness, Perceived Ease of Use, Attitude Toward Use, and Behavioral Intention. Exploratory and confirmatory factor analyses confirmed the theoretical four-factor structure, and the model demonstrated excellent internal consistency, conver-gent, and discriminant validity. Path analysis supported all hypothesized relationships among TAM con-structs. The results confirm TAM’s applicability to the ADAS context and highlight the role of perceived usefulness and ease of use in influencing user attitudes and intentions. The ADASAT offers a valid psy-chometric tool to support research and policies supporting safe, user-centered technology adoption.
Development and Validation of the ADAS Acceptance Test (ADASAT): A TAM-Based Instrument for Evaluating User Acceptance of Advanced Driving Assistance Systems
Mollaioli D.
Primo
;Lacava D.Data Curation
;Ruggeri A.Conceptualization
;Sollazzo G.Methodology
;Pellegrino O.Penultimo
;Bosurgi G.Ultimo
2025-01-01
Abstract
The increasing presence of Advanced Driver Assistance Systems (ADAS) in modern vehicles under-scores the need to assess user acceptance, which is essential for the effective integration of these tech-nologies. This study introduces and validates the ADAS Acceptance Test (ADASAT), a novel question-naire grounded in the Technology Acceptance Model (TAM). A sample of 347 Italian drivers completed the instrument, which evaluates four TAM constructs: Perceived Usefulness, Perceived Ease of Use, Attitude Toward Use, and Behavioral Intention. Exploratory and confirmatory factor analyses confirmed the theoretical four-factor structure, and the model demonstrated excellent internal consistency, conver-gent, and discriminant validity. Path analysis supported all hypothesized relationships among TAM con-structs. The results confirm TAM’s applicability to the ADAS context and highlight the role of perceived usefulness and ease of use in influencing user attitudes and intentions. The ADASAT offers a valid psy-chometric tool to support research and policies supporting safe, user-centered technology adoption.Pubblicazioni consigliate
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