activity
20132022
most citedSmartphone sensing platform for emergency management

10 citations · 39 across the 16 of their papers we have counts for

collaborators

16 papers

cs.SE2022★ 1 cited

Designing Internet of Behaviors Systems

Mahyar T. Moghaddam, Henry Muccini, Julie Dugdale +1

The Internet of Behaviors (IoB) puts human behavior at the core of engineering intelligent connected systems. IoB links the digital world to human behavior to establish human-drive…

cs.CY2020★ 3 cited

A methodology for co-constructing an interdisciplinary model: from model to survey, from survey to model

Elise Beck, Julie Dugdale, Carole Adam +2

How should computer science and social science collaborate to build a common model? How should they proceed to gather data that is really useful to the modelling? How can they desi…

cs.MA2019★ 1 cited

A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment

Julius Bañgate, Julie Dugdale, Elise Beck +1

Social attachment theory states that individuals seek the proximity of attachment figures (e.g. family members, friends, colleagues, familiar places or objects) when faced with thr…

cs.HC2019

A Method to Discover Digital Collaborative Conversations in Business Collaborations

Antoine Flepp, Julie Dugdale, Fabrice Bourge +1

Many companies have a suite of digital tools, such as Enterprise Social Networks, conferencing and document sharing software, and email, to facilitate collaboration among employees…

cs.MA2019★ 7 cited

A Multi-Agent based Approach for Simulating the Impact of Human Behaviours on Air Pollution

Sabri Ghazi, Julie Dugdale, Tarek Khadir

This paper presents a Multi-Agent System (MAS) approach for designing an air pollution simulator. The aim is to simulate the concentration of air pollutants emitted from sources (e…

cs.CY2019

The design of an agent based model of human activities and communications in cardiac resuscitation

Lyuba Mancheva, Julie Dugdale

Cardio-pulmonary arrest is a common emergency situation causing over 400,000 deaths per year, more than a 1000 per day, in the USA alone. The goal of this work is to develop an age…

cs.MA2019

Modelling PM10 Crisis Peaks Using Multi-Agent based Simulation: Application to Annaba City, North-East Algeria

Sabri Ghazi, Julie Dugdale, Tarek Khadir

The paper describes a MAS (multi-agent system) simulation approach for controlling PM10 (Particulate Matter) crisis peaks. A dispersion model is used with an Artificial Neural Netw…

stat.AP2019

Modelling Air Pollution Crises Using Multi-agent Simulation

Sabri Ghazi, Julie Dugdale, Tarek Khadir

This paper describes an agent based approach for simulating the control of an air pollution crisis. A Gaussian Plum air pollution dispersion model (GPD) is combined with an Artific…

cs.CY2019

Understanding communications in medical emergency situations

Lyuba Mancheva, Julie Dugdale

Good communication is essential within teams dealing with emergency situations. In this paper we look at communications within a resuscitation team performing cardio-pulmonary resu…

cs.MA2019

Coupling agent based simulation with dynamic networks analysis to study the emergence of mutual knowledge as a percolation phenomenon

Julie Dugdale, Narjes Bellamine, Ben Saoud +2

The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio technical systems. It has been extensively studied from an ethnomethodological…

cs.SI2019★ 7 cited

Real or Fake? User Behavior and Attitudes Related to Determining the Veracity of Social Media Posts

Linda Plotnick, Starr Hiltz, Sukeshini Grandhi +1

Citizens and Emergency Managers need to be able to distinguish ''fake'' (untrue) news posts from real news posts on social media during disasters. This paper is based on an online…

cs.AI2016

Dynamic Bayesian Networks to simulate occupant behaviours in office buildings related to indoor air quality

Khadija Tijani, Stephane Ploix, Benjamin Haas +2

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour with probabilistic cause-effect relatio…

cs.MA2015★ 2 cited

Comparison between purely statistical and multi-agent based ap-proaches for occupant behaviour modeling in buildings

Khadija Tijani, Ayesha Kashif, Stéphane Ploix +2

This paper analyzes two modeling approaches for occupant behaviour in buildings. It compares a purely statistical approach with a multi-agent social simulation based approach. The…

cs.AI2015

Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings

Khadija Tijani, Dung Ngo, Stephane Ploix +2

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour withprobabilistic cause-effect relation…

cs.CY2014★ 10 cited

Smartphone sensing platform for emergency management

Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez +1

The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these rese…

cs.MA2013★ 8 cited

Developing a model of evacuation after an earthquake in Lebanon

Hong Van Truong, Elise Beck, Julie Dugdale +1

This article describes the development of an agent-based model (AMEL, Agent-based Model for Earthquake evacuation in Lebanon) that aims at simulating the movement of pedestrians sh…