Understanding Intelligent Personal Assistant Acceptance across Generations: A Multi-Group Serial Mediation Model

Description

This dataset contains the anonymized survey data used in the manuscript entitled “.” The study examines how perceived competence, perceived anthropomorphism, and perceived usefulness influence intention to use intelligent personal assistants among Digital Natives and Digital Immigrants. The dataset includes cleaned survey responses from 585 valid participants. Respondents were classified into two generational cohorts based on birth year: Digital Natives and Digital Immigrants. The variables include demographic information, intelligent personal assistant awareness and usage-related items, and scale items measuring perceived competence, perceived anthropomorphism, perceived usefulness, and intention to use. The data were collected through an online questionnaire and analyzed using multi-group structural equation modeling and bootstrapped indirect-effect tests. No personally identifiable information is included in the dataset. The dataset is provided to support transparency, reproducibility, and further research on human–AI interaction and intelligent personal assistant acceptance.

Institutions

• Istanbul University

  Istanbul, Istanbul

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