Smartphone OS GenAI Continuance Intention Survey
Abstract
This dataset comprises empirical survey responses collected from 315 smartphone users in Indonesia to examine the behavioral and psychological determinants influencing the continuous use of Generative AI (GenAI) features on mobile devices. The dataset captures both respondent profiles and multi-item measurement scales adapted from extended technology acceptance and post-adoption continuance frameworks. The profile variables encompass core demographic attributes, such as age and gender, alongside mobile platform preferences (Android and iOS), usage frequency, and specific GenAI application modalities utilized by respondents, including text generation, summarization, proofreading, and image creation. The structural evaluation items employ a standard 5-point Likert scale to operationalize key theoretical constructs: Perceived Usefulness (PU1–PU4), Perceived Ease of Use (PEOU1–PEOU4), Confirmation (CONF1–CONF3), Satisfaction (SAT1–SAT4), Attitude towards Success (ATS1–ATS3), Attitude towards Process (ATP1–ATP3), Trust (TR1–TR3), Perceived Intelligence (PI1–PI4), and Continuance Intention (CI1–CI3). This comprehensive structure makes the data suitable for structural equation modeling (SEM), partial least squares (PLS-SEM), and multivariate statistical analysis exploring human-AI interaction dynamics in consumer technology.
