The Internet of Things (IoT) brings a set of unique and complex challenges to the field of Quality of Experience (QoE) evaluation. The state-of-the-art research in QoE mainly targets multimedia services, such as voice, video, and the Web, to determine quality perceived by end-users. Therein, main evaluation metrics involve subjective and objective human factors and network quality factors. Emerging IoT may also include intelligent machines within services, such as health-care, logistics, and manufacturing. The integration of new technologies such as machine-to-machine communications and artificial intelligence within IoT services may lead to service quality degradation caused by machines. In this article, we argue that evaluating QoE in the IoT services should also involve novel metrics for measuring the performance of the machines alongside metrics for end-users' QoE. This article extends the legacy QoE definition in the area of IoT and defines conceptual metrics for evaluating QoE using an industrial IoT case study.

中文翻译：

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定义物联网的体验质量

物联网 (IoT) 给体验质量 (QoE) 评估领域带来了一系列独特而复杂的挑战。QoE 的最新研究主要针对多媒体服务，如语音、视频和 Web，以确定最终用户感知的质量。其中，主要评价指标涉及主客观人为因素和网络质量因素。新兴的物联网还可能包括服务中的智能机器，例如医疗保健、物流和制造。物联网服务中机器对机器通信和人工智能等新技术的集成可能会导致机器导致的服务质量下降。在本文中，我们认为，评估 IoT 服务中的 QoE 还应该涉及用于衡量机器性能的新指标以及最终用户 QoE 的指标。本文扩展了物联网领域的传统 QoE 定义，并定义了使用工业物联网案例研究评估 QoE 的概念性指标。