用于数据质量评估的消费类物联网设备特征目录

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Valentina Golendukhina, Harald Foidl, Daniel Hörl, Michael Felderer
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引用次数: 0

摘要

物联网(IoT)正在迅速发展,并在不同市场蔓延,包括客户市场和消费物联网(CIoT)。种类繁多的小工具及其可用性使得 CIoT 的影响力越来越大,尤其是在可穿戴设备和智能家居领域。然而,由于硬件成本不同,设备种类繁多且质量不一,这对此类设备产生的数据产生了影响。本文介绍了可预测数据质量的 CIoT 属性目录。数据质量目录包含 6 个类别和 21 个属性,并附有说明和信任分值计算方法。为支持和促进评估过程,还实施了一个图表工具。该工具在 14 个用户的实验环境中进行了评估,并获得了积极反馈。此外,我们还为智能手表设备提供了一个示例应用,并根据 158 位智能手表用户的反馈,将该方法获得的结果与用户的评价进行了比较。结果表明,基于该方法的排名并不能提供与普通用户相似的结果。不过,它得出的结果与经验丰富的用户进行的评估结果相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Catalog of Consumer IoT Device Characteristics for Data Quality Estimation
The Internet of Things (IoT) is rapidly growing and spreading across different markets, including the customer market and consumer IoT (CIoT). The large variety of gadgets and their availability makes CIoT more and more influential, especially in the wearable and smart home domains. However, the large variety of devices and their inconsistent quality due to varying hardware costs have an influence on the data produced by such devices. In this article, a catalog of CIoT properties is introduced, which enables the prediction of data quality. The data quality catalog contains six categories and 21 properties with descriptions and trust score calculation methods. A diagramming tool is implemented to support and facilitate the process of evaluation. The tool was assessed in an experimental setting with 14 users and received positive feedback. Additionally, we provide an exemplary application for smartwatch devices and compare the results obtained with the approach with the users’ evaluation based on the feedback from 158 smartwatch owners. As a result, the method-based ranking does not provide similar results to the regular users. However, it yields comparable outcomes to the assessment conducted by experienced users.
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来源期刊
ACM Journal of Data and Information Quality
ACM Journal of Data and Information Quality COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.10
自引率
4.80%
发文量
0
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