Dataset of AI Acceptancy: "Evaluation of Factors Influencing the Acceptance of Artificial Intelligence (AI) Technology in the World of Photography Based on the Technology Acceptance Model (TAM)"

This dataset contains cleaned survey responses collected from 415 participants as part of a quantitative study examining the factors influencing the acceptance of Artificial Intelligence (AI) tools within the photography domain. The majority of respondents are located in the Jabodetabek metropolitan area (Jakarta, Bogor, Depok, Tangerang, and Bekasi), Indonesia. The study adopts the Technology Acceptance Model (TAM1) framework, originally proposed by Davis (1989), as its theoretical foundation. The dataset encompasses responses corresponding to five core TAM1 variables: - Perceived Usefulness (PU) - Perceived Ease of Use (PEOU) - Attitude Toward Using (ATU) - Behavioral Intention to Use (BI) - Actual System Use (AU) In addition, one external variable has been incorporated into the model: - Trust (T) Data collection was conducted via structured online questionnaire using a Likert-scale measurement instrument. The dataset has undergone a data cleaning process.