Qualitative Data on User Experience and Perceived Effectiveness of IntelliTrac GPS in Coal-Fired Power Plant Operations (PLTU)

The main objective of this research was to understand how daily interactions with the Intellitrac GPS system shaped users' perceptions regarding operational performance optimization, cost savings, and time efficiency in heavy equipment management. The data offers rich insights into the complex human-technology interactions within a demanding industrial setting, serving as a qualitative complement to existing quantitative research on telematics technology adoption.

The dataset includes:
Anonymized Interview Transcripts: Verbatim transcripts from semi-structured in-depth interviews conducted with five key participants (an Operational Manager, a Maintenance Technician, a Field Supervisor, and two Heavy Equipment Operators). All personal identifiers and sensitive organizational details have been removed or replaced with pseudonyms to ensure participant privacy and ethical research practices.
Anonymized Observation Notes: Detailed notes from limited participant observations carried out in the coal yard and control room during real-time monitoring activities of heavy equipment (four bulldozers and one excavator). Contextual information that could identify specific individuals or locations has been generalized.
Coding Scheme and Thematic Analysis Structure: A clear and detailed outline of the codes, sub-themes, and four main emergent themes identified through the rigorous IPA analysis process. This structure illustrates the analytical journey from raw data to the study's findings, which include: "Shifting from Reactive to Proactive Vigilance," "Dual Dimension of Visibility: Operational Clarification and Erosion of Interpersonal Trust," "Liberating and Enslaving Data: Ambivalence in Number-Based Supervision," and "Systemic Barriers Towards Full Efficiency."
Processed Document Data (Aggregated/Generalized): Summarized or generalized data derived from the analysis of heavy equipment performance reports and Intellitrac GPS data records spanning from August to November 2025. Any proprietary or sensitive information from these documents has been removed or aggregated to maintain confidentiality.
This dataset is a valuable resource for researchers and practitioners interested in qualitative methodologies, the human aspects of technology adoption in heavy industries, human-computer interaction, organizational psychology, socio-technical systems, asset management, and operational efficiency within the context of power generation.

本研究的核心目标为探究用户在日常使用Intellitrac全球定位系统（GPS）的过程中，如何形成其对重型设备管理领域内作业性能优化、成本节约与时间效率提升的认知。本数据集可为严苛工业场景下复杂的人机交互关系提供详实洞察，同时作为现有远程信息处理技术采纳相关定量研究的定性补充，完善相关研究成果。

本数据集涵盖以下内容：
匿名化访谈转录文本：针对5名核心受访者开展的半结构化深度访谈的逐字转录内容，受访者分别为运营经理、维修技师、现场主管及2名重型设备操作员。所有个人身份标识与敏感组织信息均已移除或替换为化名，以保障受访者隐私并符合伦理研究规范。
匿名化观测记录：针对重型设备（4台推土机与1台挖掘机）开展实时监控期间，在煤场与控制室进行的有限参与式观测所形成的详细记录。所有可识别特定个人或场所的上下文信息均已做泛化处理。
编码方案与主题分析框架：基于严谨的解释现象学分析（Interpretative Phenomenological Analysis，IPA）流程所识别出的编码、子主题及4个核心衍生主题的清晰详细大纲。该框架完整呈现了从原始数据到研究结论的分析脉络，其中核心结论主题包括：“从被动警戒转向主动防控”、“可见性的双重维度：作业明晰化与人际信任的消解”、“解放与束缚的数据：基于量化监管的矛盾心态”以及“阻碍全效率实现的系统性壁垒”。
经处理的文档数据（聚合/泛化版）：基于2025年8月至11月期间的重型设备绩效报告与Intellitrac GPS数据记录分析所得的汇总或泛化数据。所有来自此类文档的专有或敏感信息均已移除或做聚合处理，以保障数据保密性。

本数据集可为关注以下领域的研究者与从业者提供宝贵资源：定性研究方法、重工业领域技术采纳的人文维度、人机交互、组织心理学、社会技术系统、资产管理，以及发电场景下的作业效率优化。