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

Derived from previously collected raw data (interviews and surveys) in Spain and Greece pilots. 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.本数据集源自西班牙与希腊试点项目中此前采集的原始访谈与问卷调研数据。 该数据集的核心数据源为此前收集的修剪作业实践与相关认知数据。研究采用李克特（Likert）量表对问卷回复进行结构化分析，以评估用户对增强现实（AR）与机器人技术的适配性、易用性、可靠性、安全性、信任度及实用价值的认知。此外，数据集还收录了参与者自述的修剪作业过程中的任务付出量，以及年龄、性别与从业年限等人口统计学信息。本数据集可支撑农业场景下的用户体验与技术接受度横断面分析。