BeCAMS: A behaviour context aware monitoring system

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI:10.1109/IWMN.2017.8078374

F. Colace, D. Santaniello, M. Casillo, Fabio Clarizia

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引用次数: 9

Abstract

Our daily life is characterized by countless human relationships. Every day we go to work, do shopping, partake in leisure time. At the base, there are some choices that lead us to make a series of activities; In which we interact and relate with many people. What influences the choices we make? Answering this question can be a very daunting task. However, it can help us to identify the main key elements that influence the behaviour of people. Arguably the weather conditions have a major impact in our daily decisions and events, with the more extreme weather having a stronger influence our lives. How can we tie Human behaviour to environmental conditions? Can we determine the human behaviour during a catastrophic environmental event? To answer these questions, we can query various information sources including social networks. These represent a good starting point with respect to the analysis of a human behaviour aspect. The aim of the paper is to develop a methodology in gaining an understanding to what is happening on the territory from user behaviours and vice versa. The paper will conclude with a discussion of the results generated from the application of this methodology to real cases.

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BeCAMS:行为上下文感知监视系统

我们的日常生活以无数的人际关系为特征。每天我们去上班，购物，享受休闲时光。在基地，有一些选择引导我们进行一系列的活动;我们在其中与许多人互动和联系。是什么影响了我们的选择?回答这个问题可能是一项非常艰巨的任务。然而，它可以帮助我们确定影响人们行为的主要关键因素。可以说，天气条件对我们的日常决策和事件有重大影响，更极端的天气对我们的生活有更大的影响。我们如何将人类行为与环境条件联系起来?我们能确定人类在灾难性环境事件中的行为吗?为了回答这些问题，我们可以查询各种信息源，包括社交网络。这些对于分析人类行为方面来说是一个很好的起点。本文的目的是开发一种方法，从用户行为中了解该领域正在发生的事情，反之亦然。本文最后将讨论将这种方法应用于实际案例所产生的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE International Workshop on Measurement and Networking (M&N)

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