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

Yang Hu; Dominique Tilke; Taylor Adams; Aaron S Crandall; Diane J Cook; Maureen Schmitter-Edgecombe

doi:10.1007/s40860-016-0021-y

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

Journal article

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

Yang Hu, Dominique Tilke, Taylor Adams, Aaron S Crandall, Diane J Cook and Maureen Schmitter-Edgecombe

Journal of reliable intelligent environments, Vol.2(2), pp.93-106

07/2016

DOI: https://doi.org/10.1007/s40860-016-0021-y

Handle:

https://hdl.handle.net/2376/109436

PMCID: PMC5604889

PMID: 28936390

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Abstract

Ambient sensors

Activity monitoring

Usability testing

Smart home

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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Title: Smart home in a box: usability study for a large scale self-installation of smart home technologies
Creators: Yang Hu - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Dominique Tilke - Department of Psychology, Washington State University, Pullman, WA, USA
Taylor Adams - Department of Psychology, Washington State University, Pullman, WA, USA
Aaron S Crandall - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Diane J Cook - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 642752, USA
Maureen Schmitter-Edgecombe - Department of Psychology, Washington State University, Pullman, WA, USA
Publication Details: Journal of reliable intelligent environments, Vol.2(2), pp.93-106
Academic Unit: Electrical Engineering and Computer Science, School of; Psychology, Department of; Crop and Soil Sciences, Department of
Grant note: The work presented in this paper is supported by the National Institutes of Health under award number R25AG046114 and RO1 EB009675. We would like to thank Hea Kim and Thao Vo for their assistance in recruiting participants and coordinating data collection.
Identifiers: 99900547150001842
Language: English
Resource Type: Journal article