Réalisations

Conditions of Human Acceptability when Cooperating with an Autonomous Self-Adaptive Driving System

Context Presentation

This thesis project answers to the desire of the IRIT-SMAC and CLLE-LTC teams to work together to develop intelligent innovative solutions for the car of the future, both acceptable to humans and technologically feasible. As such, this thesis in cognitive ergonomics focuses on “drivengers”/ partially automated cars interactions.

The general goal is to investigate the conditions allowing to increase drivenger’s acceptability of automated driving, and performance when taking over the control of vehicle from automation.The project will combine several experimental studies, first conducted on a driving simulator (Simul’auto platform - CCU platform - UT2J), then on a closed city experimental circuit (autOCampus circuit - UPS (under design)).

 

Vectoriel_M.DELMAS - Maxime Delmas

Keywords

User experience, Mobility, Safety, Human Factor, Automated Cars

Contact

maxime.delmas@univ-tlse2.fr

Designing and Evaluating « Phygital » Interaction Techniques for Noise Management in the University Library

Context Presentation

The goal of this project is to provide a librarian with easy to use interactive tools to monitor and control the noise made by students in a University Library. Sensors installed in the library detect the level of noise in different places of the library. Based on this information, the librarian can observe where in the library the level is too high and hence go and warn the students.

In addition, this tool allows the librarian to define zones in the library with different levels of authorized noise, to allow different forms of work in the library. For monitoring and control, the approach we explore in this project is based on the use of a physical model representing the whole library as it may constitute a strong support to the librarian to understand to which place in the library the information is related to.

Illustration - Xiaobo Feng

Keywords

Interaction techniques, Phygital Interaction Technique

Scientific goals

•    Design and implement “phygital interaction techniques”, i.e. based on the use of a physical support to visualize and interact with digital data related to a physical location. Combining an immersive visualization and a physical model requires the development of original and relevant techniques.

•    Assess the impact of phygital interaction techniques, on the usability of the interaction technique. Users experiments will be conducted to compare our solutions to monitoring application based on the use of lists of table and zones.

Contact

Jiaming.Feng@irit.fr

Interaction Techniques for Situated Data through a Physical Model

Context Presentation

Over the last decades, the amount of data has increased to 29000 Go produced each second. Understanding the data requires tools to transform these numbers, texts and images into concrete representations. The field of data visualization aims to produce data representation to visualize and analyze abstract data. Building, people or vehicles produce a lot of data collected by many sensors. These specific data are related to a physical location (e.g. number of people in a room is related to the room, humidity in a floor is related to the floor, etc.) Bring and display them close from their physical context allow people to make a better representation of the data (Embedded Data Representations, Willet et al. , 2017).

In this project we aim to design interaction techniques to navigate and manipulate the data close to a physical referent. The main goal is to develop a full interactive physical model of the campus endowed with situated data.

3d flat retouche5 - Cabric Florent(1)

Keywords

Interaction Techniques, Situated Data, Phygital Model, Human Computer Interaction

Scientific goals

Design and evaluation interaction techniques to explore a digital modeldesign and evaluate interaction techniques with situated databuild a physical model of the campus endowed with situated data and interactive capabilities

Contacts

florent.cabric@irit.fr, emmanuel.dubois@irit.fr, marcos.serrano@irit.fr, christophe.hurter@enac.fr

Opportunistic Software Composition

Context Presentation

Cyber-physical and ambient systems surround the human user with services at her/his disposal. From these services, complex composites services, tailored to the user preferences and the current situation, can be composed automatically and on the fly.

To produce the knowledge necessary for automatic composition in the absence of both prior expression of the user's needs and specification of a process or a composition model, we develop a generic solution based on online reinforcement learning. It is decentralized within a multi-agent system in charge of the administration and composition of the services, which learns incrementally from and for the user.

 

diagram_WY - walid YOUNES

Keywords

Ambient intelligence; Service Discovery, Selection and Composition; Multi-agent System; Machine learning; Smart city; neOCampus

 Scientific goals

•    Design a decentralized and distributed system that learns and decides on compositions.

•    Consider user preferences and context.

Contacts

walid.younes@irit.fr, jean-paul.arcangeli@irit.fr, sylvie.trouilhet@irit.fr, francoise.adreit@irit.fr

neOCampus Android Applications

Context Presentation

The purpose of project CAPARI is to assist university users, presenting them with an Android app that allows them to access various pieces of information: library, restaurants, weather forecast, carpool options, etc.

neocampusApp - valérian Guivarch

 

Keywords

Android Application

 Scientific goals

•    To study and promote new digital usages at the university

Contact

valerian.guivarch@irit.fr

accessOCampus - A Universal Access System for Smart Doors and Gates

Context Presentation

On site access control exists almost everywhere in today's modern world. Keys have already been replaced by access cards in most places but accessOCampus aims to improve on these existing systems even more.

For less than 200€ (excluding the optional thermal camera) an accessOCampus client module can be built, this includes : NFC access card recognition, passcode entry, face recognition and a large screen for access related information. The system can also be locked down or forced open globally by an authorized security personnel via the easy to use web interface.

In theory, accessOCampus can be used to log who has entered any given zone and provide detailed information on those people. For instance, if any given access card is stolen we can detect who used it via face recognition either silently or to refuse access.This project could be implemented in select zones of Toulouse University to provide a low-cost high fidelity access system.

IMG_20200624_103950 - Sebastian Lucas

Keywords

neOCampus, IOT, Smart Building, Security, Access, Face Recognition

 Scientific goals

•    Provide a high security solution to restricted zones

•    Facilitate zone entry for the end user via face recognition•    Display easy to understand information

Contacts

gomme600@hotmail.com, Francois.Thiebolt@irit.fr

Conception of Timeline Component for Timed Data Analyzis

Context Presentation

SandFox project is a collaborative project between IRIT and Berger-Levrault company. This project is part of neOCampus initiative. The goal is to find best ways to represent and interact with data. These data are dated, we would like to be able to compare them over different periods.

To do that, we were doing research concerning different existing models of interaction with data. We were looking among those that most closely matched expectations of our collaborators. From these models, we were going to the conception step of low and medium fidelity prototypes. For the selected model, we were choosing a circular representation. This representation allows more visibility to compare several periods of time. We were also able to produce a low fidelity prototype (paper prototype) and a medium fidelity prototype in progress (make on adobe Xd).

In conclusion, we were founding a representation that allows a clear view of data but lacks interactives elements to change building data for another building or interaction modalities which have not yet been clearly defined.

sandfox_timeline_clastres - Flych

 

Keywords

Human-Computer Interaction, SandFox, data, interaction, neOCampus, Data Visualization, Data Interaction

Scientific goals

Facilitate the interaction of temporal data from different sources and/or different time periods.

Contacts

flavien.clastres-babou@univ-tlse3.fr, mathieu.raynal@irit.fr, christophe.bortolaso@berger-levrault.com, stephanie.rey@berger-levrault.com 

SandFox: Dashboard for monitoring the energetic consumption

Context Presentation

In a context of energy transition and reduced energy consumption, the SandFox project is a collaborative project between IRIT and Berger-Levrault. This project aims to design a dashboard that displays these energy consumptions and facilitate data analysis and comparison. It also notifies users of detected anomalies on energetic data.

SandFox is a web application based on user-centered design. The dashboard offers an interactive map with the ability to select buildings and display multiple data curves based on selected buildings. This application is developed with Angular, typescript and D3.js.

The research on this project aims to study different visualizations and interactions to facilitate the comparison of buildings and/or periods on the timeline. One proposed solution is a spiral heatmap representation that displays and compares different periods.

image050

Figure 1 : « SandFox dashboard »

Scientific Goals

- The main goal of the project is to study the different ways of visualizing and interacting with the data for :

- Displaying information on energy consumption for different users

- Analyzing and comparing these data

Keywords

neOCampus, Energy Consumption, Dashboard, innovation, Data Visualization, Data Interaction, Human–computer interaction

Contacts

maxime.durand@irit.fr /mathieu.raynal@irit.fr / christophe.bortolaso@berger-levrault.com / marie-pierre.gleizes@irit.fr

Emergent User-Centered Services in Ambient and Smart Environments

Context Presentation

Cyber-physical and ambient systems surround the human user with services at her/his disposal. From these services, complex composites services, tailored to the user preferences and the current situation, can be composed automatically and on the fly. In order to produce the knowledge necessary for automatic composition in the absence of both prior expression of the user's needs and specification of a process or a composition model, we develop a generic solution based on online reinforcement learning. It is decentralized within a multi-agent system in charge of the administration and composition of the services, which learns incrementally from and for the user.

image049

Figure 1: Opportunistic Software Composition

Scientific Goals

- Design a decentralized and distributed system that learns and decides on compositions

- Consider user preferences and context

Keywords

Ambient intelligence; Service discovery, selection and composition; Multi-agent system; Machine learning; Smart city; neOCampus

Contacts

walid.younes@irit.frjean-paul.arcangeli@irit.fr – sylvie.trouilhet@irit.fr – francoise.adreit@irit.frvalerie.camps@irit.fr, celine.lemercier@univ-tlse2.fr

Acceptability Conditions for Human to Cooperate with an Autonomous Driving System

Context Presentation

This internship concerns autonomous vehicles of level 3. A level 3 vehicle is only capable of taking full control and operating given specific conditions. However the vehicle is not fully autonomous and the human driver must remain vigilant even in the autonomous driving phase as he can be asked at any moment to retake control over the vehicle in a short amount of time in the event of a failure (situation too complex for the vehicle to handle for example). It is therefore important to make sure that the human driver is always in a state fit to take back control.

In this context, our goal is to design a system capable of observing the human driver while using the vehicle in various situations and to extract a personal profile from these observations that will then be used to measure the attention of the human driver. In the case of low attention, the system will also need to act by either trying to increase the attention of the human driver, or telling the autonomous vehicle that the human driver is not fit to take back control at a moment's notice.

image048

Figure 1 : « A distracted driver in an autonomous vehicle »

Scientific Goals

- to understand and define the intrinsic and contextual factors defining the driver's attention level

- to design a multi-agent system to estimate at runtime the human driver's attention level and to maintain it based on contextual information

- to define and implement an experimental protocol to evaluate the proposed multi-agent system.

Keywords

Autonomous vehicle, cooperative multi-agent system, dynamic learning, synthetic environment.

Contacts

michael.geraedts-muse@irit.fr,

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