Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices

Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices
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分析 IFTTT 方法来研究人类如何使用物联网 (IoT) 设备

DOI:
10.1145/3485730.3494115
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发表时间:
2021
期刊:
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
影响因子:
--
通讯作者:
Julien, Christine
Julien, Christine
中科院分区:
--
文献类型:
--
作者:
Yu, Haoxiang;Hua, Jie;Julien, Christine

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随着物联网(IoT)和智能家居设备的快速发展和使用,研究人员继续努力提高这些设备的“智能性”,以满足人们生活中的日常需求。这些努力通常开始于理解关于人类如何使用设备的不断演变的用户行为以及他们在行为方面的期望。然而,尽管研究工作很多,但研究人员可以用来了解人们如何使用物联网设备以及评估智能空间算法或系统的数据集数量非常有限。在本文中,我们从在线If-This-Then-That(IFTTT)服务中收集并描述了50,000多个配方,以了解一个看似简单但复杂的问题:“人类期望从他们的物联网设备中获得什么样的行为?“我们收集的数据集包含IFTTT规则的基本信息,触发器和动作事件,以及有多少人正在使用每个规则。
With the rapid development and usage of Internet-of-Things (IoT) and smart-home devices, researchers continue efforts to improve the "smartness" of those devices to address daily needs in people's lives. Such efforts usually begin with understanding evolving user behaviors on how humans utilize the devices and what they expect in terms of their behavior. However, while research efforts abound, there is a very limited number of datasets that researchers can use to both understand how people use IoT devices and to evaluate algorithms or systems for smart spaces. In this paper, we collect and characterize more than 50,000 recipes from the online If-This-Then-That (IFTTT) service to understand a seemingly straightforward but complicated question: "What kinds of behaviors do humans expect from their IoT devices?" The dataset we collected contains the basic information of the IFTTT rules, trigger and action events, and how many people are using each rule.
DOI: 10.1145/2858036.2858556
发表时间: 2016-05
期刊: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
影响因子: --
作者:
Blase Ur;Melwyn Pak Yong Ho;Stephen Brawner;Jiyun Lee;Sarah Mennicken;N. Picard;Diane Schulze;M. Littman
通讯作者: Blase Ur;Melwyn Pak Yong Ho;Stephen Brawner;Jiyun Lee;Sarah Mennicken;N. Picard;Diane Schulze;M. Littman
DOI: 10.1109/mc.2017.4041355
发表时间: 2017-11-01
期刊: COMPUTER
影响因子: 2.2
作者:
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通讯作者: Roffarello, Alberto Monge
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DOI: --
发表时间: 2017
期刊: arXiv.org
影响因子: --
作者:
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通讯作者: A. Prakash