更改

| pages = 1–45

| pages = 1–45

| doi = 10.1145/2333112.2333119

| doi = 10.1145/2333112.2333119

}}</ref>调查了几个中间件解决方案，这些中间件解决方案旨在移动系统中实现情景的透明管理和配置。Grifoni，D'Ulizia 和 Ferri <ref>{{Cite book|title=Context-Awareness in Location Based Services in the Big Data Era|last=Grifoni|first=Patrizia|last2=D’Ulizia|first2=Arianna|last3=Ferri|first3=Fernando|date=2018|publisher=Springer, Cham|isbn=9783319679242|series=Lecture Notes on Data Engineering and Communications Technologies|pages=85–127|language=en|doi=10.1007/978-3-319-67925-9_5}}</ref>梳理了使用大数据的基于位置的情景认知服务系统的研究人员在情景感知主要阶段（包括情景获取，情景表达，情景推理和情景适应）的理论与实践方法。Perera，Zaslavsky，Christen和 Georgakopoulos <ref>{{Cite journal|last=Perera|first=C.|last2=Zaslavsky|first2=A.|last3=Christen|first3=P.|last4=Georgakopoulos|first4=D.|date= 2014|title=Context Aware Computing for The Internet of Things: A Survey|journal=IEEE Communications Surveys and Tutorials|volume=16|issue=1|pages=414–454|doi=10.1109/SURV.2013.042313.00197|issn=1553-877X|arxiv=1305.0982}}</ref>从物联网的角度对情景感知计算进行了全面的调查，回顾了该领域50多个主要项目。此外，Perera还从情景感知计算的角度调查了现有物联网市场中的大量工业产品。<ref>{{Cite journal|last=Perera|first=C.|last2=Liu|first2=C. H.|last3=Jayawardena|first3=S.|last4=Chen|first4=M.|date=2014|title=A Survey on Internet of Things From Industrial Market Perspective|journal=IEEE Access|volume=2|pages=1660–1679|doi=10.1109/ACCESS.2015.2389854|issn=2169-3536|arxiv=1502.00164}}</ref> 他们的调查旨在为物联网范式下的情景感知的产品开发和研究提供指导和概念框架。评价是利用10多年前由 Dey 和 Abowd (1999)开发的理论框架进行的。互联网和新兴技术的结合将日常物品转化为智能物品，可以理解环境并做出回应。<ref>{{Cite journal|last=Kortuem|first=Gerd|last2=Kawsar|first2=Fahim|last3=Sundramoorthy|first3=Vasughi|last4=Fitton|first4=Daniel|date=January 2010|title=Smart Objects As Building Blocks for the Internet of Things|journal=IEEE Internet Computing|volume=14|issue=1|pages=44–51|doi=10.1109/MIC.2009.143|issn=1089-7801|url=http://usir.salford.ac.uk/2735/1/w1iot.pdf}}</ref>

}}</ref>调查了几个中间件解决方案，这些中间件解决方案旨在移动系统中实现情景的透明管理和配置。Grifoni，D'Ulizia 和 Ferri <ref>{{Cite book|title=Context-Awareness in Location Based Services in the Big Data Era|last=Grifoni|first=Patrizia|last2=D’Ulizia|first2=Arianna|last3=Ferri|first3=Fernando|date=2018|publisher=Springer, Cham|isbn=9783319679242|series=Lecture Notes on Data Engineering and Communications Technologies|pages=85–127|language=en|doi=10.1007/978-3-319-67925-9_5}}</ref>梳理了使用大数据的基于位置的情景认知服务系统的研究人员在情景感知主要阶段（包括情景获取，情景表达，情景推理和情景适应）的理论与实践方法。Perera，Zaslavsky，Christen和 Georgakopoulos <ref>{{Cite journal|last=Perera|first=C.|last2=Zaslavsky|first2=A.|last3=Christen|first3=P.|last4=Georgakopoulos|first4=D.|date= 2014|title=Context Aware Computing for The Internet of Things: A Survey|journal=IEEE Communications Surveys and Tutorials|volume=16|issue=1|pages=414–454|doi=10.1109/SURV.2013.042313.00197|issn=1553-877X|arxiv=1305.0982}}</ref>从物联网的角度对情景感知计算进行了全面的调查，回顾了该领域50多个主要项目。此外，Perera还从情景感知计算的角度调查了现有物联网市场中的大量工业产品。<ref>{{Cite journal|last=Perera|first=C.|last2=Liu|first2=C. H.|last3=Jayawardena|first3=S.|last4=Chen|first4=M.|date=2014|title=A Survey on Internet of Things From Industrial Market Perspective|journal=IEEE Access|volume=2|pages=1660–1679|doi=10.1109/ACCESS.2015.2389854|issn=2169-3536|arxiv=1502.00164}}</ref> 他们的调查旨在为物联网范式下的情景感知的产品开发和研究提供指导和概念框架。评价是利用10多年前由 Dey 和 Abowd (1999) <ref name="ReferenceA" /> 开发的理论框架进行的。互联网和新兴技术的结合将日常物品转化为智能物品，可以理解环境并做出回应。<ref>{{Cite journal|last=Kortuem|first=Gerd|last2=Kawsar|first2=Fahim|last3=Sundramoorthy|first3=Vasughi|last4=Fitton|first4=Daniel|date=January 2010|title=Smart Objects As Building Blocks for the Internet of Things|journal=IEEE Internet Computing|volume=14|issue=1|pages=44–51|doi=10.1109/MIC.2009.143|issn=1089-7801|url=http://usir.salford.ac.uk/2735/1/w1iot.pdf}}</ref>

Human factors related context is structured into three categories: information on the user (knowledge of habits, emotional state, biophysiological conditions), the user's social environment (co-location of others, social interaction, group dynamics), and the user's tasks (spontaneous activity, engaged tasks, general goals). Likewise, context related to physical environment is structured into three categories: location (absolute position, relative position, [[wikt:colocation|co-location]]), infrastructure (surrounding resources for computation, communication, task performance), and physical conditions (noise, light, pressure, air quality).<ref>[https://link.springer.com/article/10.1007%2Fs11042-010-0711-z?LI=true A Comprehensive Framework for Context-Aware Communication Systems. B. Chihani, E. Bertin, N. Crespi. 15th International Conference on Intelligence in Next Generation Networks (ICIN'11), Berlin, Germany, October 2011]</ref><ref>[https://ieeexplore.ieee.org/document/5956518 A Self-Organization Mechanism for a Cold Chain Monitoring System. C. Nicolas, M. Marot, M. Becker.  73rd Vehicular Technology Conference 2011 IEEE (VTC Spring), Yokohama, Japan May 2011]</ref>

Human factors related context is structured into three categories: information on the user (knowledge of habits, emotional state, biophysiological conditions), the user's social environment (co-location of others, social interaction, group dynamics), and the user's tasks (spontaneous activity, engaged tasks, general goals). Likewise, context related to physical environment is structured into three categories: location (absolute position, relative position, [[wikt:colocation|co-location]]), infrastructure (surrounding resources for computation, communication, task performance), and physical conditions (noise, light, pressure, air quality).<ref>[https://link.springer.com/article/10.1007%2Fs11042-010-0711-z?LI=true A Comprehensive Framework for Context-Aware Communication Systems. B. Chihani, E. Bertin, N. Crespi. 15th International Conference on Intelligence in Next Generation Networks (ICIN'11), Berlin, Germany, October 2011]</ref><ref>[https://ieeexplore.ieee.org/document/5956518 A Self-Organization Mechanism for a Cold Chain Monitoring System. C. Nicolas, M. Marot, M. Becker.  73rd Vehicular Technology Conference 2011 IEEE (VTC Spring), Yokohama, Japan May 2011]</ref>