Suppr超能文献

PBC 模型:智能环境中支持积极行为。

The PBC Model: Supporting Positive Behaviours in Smart Environments.

机构信息

Department of Computing Sciences, Nelson Mandela University, Port Elizabeth 6031, South Africa.

出版信息

Sensors (Basel). 2022 Dec 8;22(24):9626. doi: 10.3390/s22249626.

Abstract

Several behavioural problems exist in office environments, including resource use, sedentary behaviour, cognitive/multitasking, and social media. These behavioural problems have been solved through subjective or objective techniques. Within objective techniques, behavioural modelling in smart environments (SEs) can allow the adequate provision of services to users of SEs with inputs from user modelling. The effectiveness of current behavioural models relative to user-specific preferences is unclear. This study introduces a new approach to behavioural modelling in smart environments by illustrating how human behaviours can be effectively modelled from user models in SEs. To achieve this aim, a new behavioural model, the Positive Behaviour Change (PBC) Model, was developed and evaluated based on the guidelines from the Design Science Research Methodology. The PBC Model emphasises the importance of using user-specific information within the user model for behavioural modelling. The PBC model comprised the SE, the user model, the behaviour model, classification, and intervention components. The model was evaluated using a naturalistic-summative evaluation through experimentation using office workers. The study contributed to the knowledge base of behavioural modelling by providing a new dimension to behavioural modelling by incorporating the user model. The results from the experiment revealed that behavioural patterns could be extracted from user models, behaviours can be classified and quantified, and changes can be detected in behaviours, which will aid the proper identification of the intervention to provide for users with or without behavioural problems in smart environments.

摘要

在办公环境中存在着几种行为问题,包括资源使用、久坐行为、认知/多任务处理和社交媒体。这些行为问题已经通过主观或客观技术得到解决。在客观技术中,智能环境中的行为建模(SE)可以通过用户建模的输入,为 SE 的用户提供适当的服务。当前行为模型相对于用户特定偏好的有效性尚不清楚。本研究通过说明如何从 SE 中的用户模型中有效地对人类行为进行建模,介绍了一种在智能环境中进行行为建模的新方法。为了实现这一目标,根据设计科学研究方法论的指导方针,开发并评估了一种新的行为模型,即积极行为改变(PBC)模型。PBC 模型强调了在行为建模中使用用户特定信息的重要性。PBC 模型包括 SE、用户模型、行为模型、分类和干预组件。该模型通过使用办公人员进行实验的自然主义总结评估进行了评估。该研究通过将用户模型纳入行为建模,为行为建模提供了新的维度,从而为行为建模知识库做出了贡献。实验结果表明,可以从用户模型中提取行为模式,可以对行为进行分类和量化,并可以检测到行为的变化,这将有助于在智能环境中正确识别针对有或没有行为问题的用户的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f27a/9782111/e9d695b6b99e/sensors-22-09626-g001.jpg

相似文献

1
The PBC Model: Supporting Positive Behaviours in Smart Environments.
Sensors (Basel). 2022 Dec 8;22(24):9626. doi: 10.3390/s22249626.
9
A user profile ontology based approach for assisting people with dementia in mobile environments.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6390-3. doi: 10.1109/EMBC.2012.6347456.

本文引用的文献

2
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece.
Accid Anal Prev. 2021 Nov;162:106391. doi: 10.1016/j.aap.2021.106391. Epub 2021 Sep 4.
4
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier.
BMC Med Inform Decis Mak. 2021 Mar 20;21(1):105. doi: 10.1186/s12911-021-01471-4.
5
Smart healthcare support for remote patient monitoring during covid-19 quarantine.
Inform Med Unlocked. 2020;20:100428. doi: 10.1016/j.imu.2020.100428. Epub 2020 Sep 15.
7
Cloud-Based Behavioral Monitoring in Smart Homes.
Sensors (Basel). 2018 Jun 15;18(6):1951. doi: 10.3390/s18061951.
9
A systematic review on the clustering and co-occurrence of multiple risk behaviours.
BMC Public Health. 2016 Jul 29;16:657. doi: 10.1186/s12889-016-3373-6.
10
A User-Centric Knowledge Creation Model in a Web of Object-Enabled Internet of Things Environment.
Sensors (Basel). 2015 Sep 18;15(9):24054-86. doi: 10.3390/s150924054.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验