AgRimate: WP1: Technical and Operational Roadmap: T1.1: Analyzing data from surveys on pruning and technology perception

This dataset is derived from previously collected data on pruning practices and perceptions. It includes structured analysis of survey responses using Likert scales to assess user perceptions of adaptability, ease of use, reliability, safety, trust, and utility of AR and robotic technologies. Additionally, it captures participant-reported effort during pruning tasks and demographic information such as age, gender, and experience level. The dataset supports cross-sectional analysis of user experience and technology acceptance in agricultural settings. Source of the Data: Derived from previously collected raw data (interviews and surveys) in Spain and Greece pilots. Purpose of the Dataset: To provide structured insights into user perceptions and acceptance of AR and robotic technologies in pruning tasks, supporting design improvements and usability studies.