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通过以用户为中心的场景为智能家居开发设计解决方案。

Developing Design Solutions for Smart Homes Through User-Centered Scenarios.

作者信息

Kim Mi Jeong, Cho Myung Eun, Jun Han Jong

机构信息

School of Architecture, Hanyang University, Seoul, South Korea.

Construction Research Institute, Hanyang University, Seoul, South Korea.

出版信息

Front Psychol. 2020 Mar 20;11:335. doi: 10.3389/fpsyg.2020.00335. eCollection 2020.

DOI:10.3389/fpsyg.2020.00335
PMID:32265767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7100148/
Abstract

The success of smart homes is fundamentally dependent on their adoption and use by people in the context of daily life. This study investigated ways to control and adapt the technology to fulfill user daily needs, which are the active drivers of smart housing technology adoption. A framework of smart home services was developed by focusing on the practicability of each variable from the perspective of supporting user experience. By developing scenarios based on previous studies, we identified residents' behaviors and intentions regarding smart home technology and its use. Their issues were identified through the health problems and daily activities identified in the scenarios, and customized smart home services were developed for each resident based on technical solutions, space requirements, and design solutions. The main strength of this study is the adoption of user-centered methods to build a rich picture of the issues that affect households and the community related to the design, installation, and use of technology.

摘要

智能家居的成功从根本上取决于人们在日常生活中对其的采用和使用。本研究调查了控制和调整技术以满足用户日常需求的方法,这些需求是智能家居技术采用的积极驱动因素。通过从支持用户体验的角度关注每个变量的实用性,开发了一个智能家居服务框架。通过基于先前研究开发场景,我们确定了居民对智能家居技术及其使用的行为和意图。通过场景中确定的健康问题和日常活动识别出他们的问题,并基于技术解决方案、空间要求和设计解决方案为每个居民开发定制的智能家居服务。本研究的主要优势在于采用以用户为中心的方法,以全面了解与技术设计、安装和使用相关的影响家庭和社区的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273f/7100148/e77d5cca6226/fpsyg-11-00335-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273f/7100148/e77d5cca6226/fpsyg-11-00335-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273f/7100148/e77d5cca6226/fpsyg-11-00335-g001.jpg

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本文引用的文献

1
BioTIME: A database of biodiversity time series for the Anthropocene.生物时间数据库:一个关于人类世生物多样性时间序列的数据库。
Glob Ecol Biogeogr. 2018 Jul;27(7):760-786. doi: 10.1111/geb.12729. Epub 2018 Jul 24.
2
Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model.分析老年用户对家庭远程医疗服务的接受行为——应用扩展的UTAUT模型
Int J Med Inform. 2016 Jun;90:22-31. doi: 10.1016/j.ijmedinf.2016.03.002. Epub 2016 Mar 15.
3
Factors influencing acceptance of technology for aging in place: a systematic review.
基于人类步态的人工智能应用综述。
Front Robot AI. 2022 Jan 3;8:749274. doi: 10.3389/frobt.2021.749274. eCollection 2021.
影响接受就地老龄化技术的因素:系统评价。
Int J Med Inform. 2014 Apr;83(4):235-48. doi: 10.1016/j.ijmedinf.2014.01.004. Epub 2014 Jan 19.
4
Older adults' perceptions of home telehealth services.老年人对家庭远程医疗服务的看法。
Telemed J E Health. 2013 Oct;19(10):786-90. doi: 10.1089/tmj.2012.0272. Epub 2013 Aug 9.
5
Computer science. How smart is your home?计算机科学。你的家有多智能?
Science. 2012 Mar 30;335(6076):1579-81. doi: 10.1126/science.1217640.
6
The technology acceptance model: its past and its future in health care.技术接受模型:在医疗保健领域的过去和未来。
J Biomed Inform. 2010 Feb;43(1):159-72. doi: 10.1016/j.jbi.2009.07.002. Epub 2009 Jul 15.
7
The acceptability of home monitoring technology among community-dwelling older adults and baby boomers.居家监测技术在社区居住的老年人和婴儿潮一代中的可接受性。
Assist Technol. 2008 Spring;20(1):1-12. doi: 10.1080/10400435.2008.10131927.
8
Towards pervasive computing in health care - a literature review.迈向医疗保健中的普适计算——文献综述
BMC Med Inform Decis Mak. 2008 Jun 19;8:26. doi: 10.1186/1472-6947-8-26.
9
Effectiveness of telecare in elderly populations-a comparison of three settings.远程护理在老年人群中的有效性——三种环境的比较。
Telemed J E Health. 2008 Mar;14(2):164-9. doi: 10.1089/tmj.2007.0028.
10
Privacy and senior willingness to adopt smart home information technology in residential care facilities.隐私与老年居民在养老机构采用智能家居信息技术的意愿
Methods Inf Med. 2008;47(1):76-81. doi: 10.3414/me9104.