User experience in do-it-yourself-style smart homes

Woo, Jeong-Soo; Lim, Youn-kyung

doi:10.1145/2750858.2806063

Cited by 68 publications

(35 citation statements)

References 23 publications

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“…A study that relates to a do-it-yourself (DIY) smart home is presented by Woo and Lim [42]. In this study, researchers utilized readily available DIY smart home products, namely “Ninjablocks”, and conducted a 3-week in situ observational study.…”

Section: Related Workmentioning

confidence: 99%

Smart home in a box: usability study for a large scale self-installation of smart home technologies

Tilke

Adams

et al. 2016

J Reliable Intell Environ

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This study evaluates the ability of users to self-install a smart home in a box (SHiB) intended for use by a senior population. SHiB is a ubiquitous system, developed by the Washington State University Center for Advanced Studies in Adaptive Systems (CASAS). Participants involved in this study are from the greater Palouse region of Washington State, and there are 13 participants in the study with an average age of 69.23. The SHiB package, which included several different types of components to collect and transmit sensor data, was given to participants to self-install. After installation of the SHiB, the participants were visited by researchers for a check of the installation. The researchers evaluated how well the sensors were installed and asked the resident questions about the installation process to help improve the SHiB design. The results indicate strengths and weaknesses of the SHiB design. Indoor motion tracking sensors are installed with high success rate, low installation success rate was found for door sensors and setting up the Internet server.

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Section: Related Workmentioning

confidence: 99%

Smart home in a box: usability study for a large scale self-installation of smart home technologies

Tilke

Adams

et al. 2016

J Reliable Intell Environ

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“…They found that although the participants had sufficient knowledge on the advanced technology embedded in the device, due to the lack of communication, most of them still couldn't understand why the system made wrong predictions many times. This challenge was also highlighted in several studies related to the smart home where multiple artefacts were ubiquitously deployed in the environment [e.g., 12,51]. For instance, in [51], many participants complained it was difficult to understand the system structure in terms of how the different devices were connected and coordinated to execute specific rules created by the users themselves.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This challenge was also highlighted in several studies related to the smart home where multiple artefacts were ubiquitously deployed in the environment [e.g., 12,51]. For instance, in [51], many participants complained it was difficult to understand the system structure in terms of how the different devices were connected and coordinated to execute specific rules created by the users themselves. Those rules were also easily forgotten after being set up.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Functioning together with machine learning and automated technology, the systems can also anticipate users' needs and proactively assist with their daily activities in advance [e.g., 19]. In addition, many tools have been developed for users to create services themselves [e.g., 6,51]. These toolkits provide extensible and low-cost components for users to customize their smart homes continuously to fit their needs.…”

Section: Introductionmentioning

confidence: 99%

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Design Vocabulary for Human--IoT Systems Communication

Chuang

Chen

Liu³

2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…For example, users can write rules such as, "IF someone tells the voice assistant they are sad THEN turn the lights blue." This paradigm is the basis for the popular website IFTTT ("If This, Then That") [26], Microsoft Flow [33], Zapier [27], Mozilla's Things Gateway [24], Stringify [44], SmartRules [43], Nin-jaBlocks [54], and many others. The TAP approach can be used to connect physical IoT devices, as in the example above, or as a substitute for shell scripting in workplace environments (e.g., allowing novice programmers to write rules that automatically back up data).…”

Section: Introductionmentioning

confidence: 99%

How Users Interpret Bugs in Trigger-Action Programming

Brackenbury

Deora

Ritchey

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Trigger-action programming (TAP) is a programming model enabling users to connect services and devices by writing if-then rules. As such systems are deployed in increasingly complex scenarios, users must be able to identify programming bugs and reason about how to fix them. We first systematize the temporal paradigms through which TAP systems could express rules. We then identify ten classes of TAP programming bugs related to control flow, timing, and inaccurate user expectations. We report on a 153-participant online study where participants were assigned to a temporal paradigm and shown a series of pre-written TAP rules. Half of the rules exhibited bugs from our ten bug classes. For most of the bug classes, we found that the presence of a bug made it harder for participants to correctly predict the behavior of the rule. Our findings suggest directions for better supporting end-user programmers.

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User experience in do-it-yourself-style smart homes

Cited by 68 publications

References 23 publications

Smart home in a box: usability study for a large scale self-installation of smart home technologies

Smart home in a box: usability study for a large scale self-installation of smart home technologies

Design Vocabulary for Human--IoT Systems Communication

How Users Interpret Bugs in Trigger-Action Programming

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