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PEOPLE@HES-SO – Directory and Skills inventory
PEOPLE@HES-SO – Directory and Skills inventory

PEOPLE@HES-SO
Directory and Skills inventory

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Mugellini Elena

Mugellini Elena

Professeure HES ordinaire/Responsable d'institut

Main skills

Interdisciplinary Innovation

Human Computer Interaction

Technology for Behavior Change

User Research

Human Analytics

Machine Learning

  • Contact

  • Teaching

  • Research

  • Publications

  • Conferences

Main contract

Professeure HES ordinaire/Responsable d'institut

Phone: +41 26 429 68 70

Desktop: HEIA_D20.17

Haute école d'ingénierie et d'architecture de Fribourg
Boulevard de Pérolles 80, 1700 Fribourg, CH
HEIA-FR
Institute
HumanTech - Technology for Human Wellbeing Institute
MSc HES-SO en Engineering - HES-SO Master
  • Advanced Human Computer Interaction
  • Machine Learning
  • IT Project Management
  • Design Thinking
BSc HES-SO en Informatique - Haute école d'ingénierie et d'architecture de Fribourg
  • Génie logiciel
  • Machine Learning
  • Interfaces Hommes-Machine avancées

Ongoing

For a complete list of RaD projects please visit http://humantech.institute/

Role: Main Applicant

Description du projet :

For a complete list of RaD projects please visit http://humantech.institute/

Research team within HES-SO: Mugellini Elena

Durée du projet: 28.09.2020

Statut: Ongoing

AdVitam - Adaptive Driver-Vehicle InTerAction to Make future driving safer

Role: Main Applicant

Financement: Hasler Stiftung

Description du projet :

AdVitam stands for Adaptive Driver-Vehicle InTerAction to Make future driving safer. It is a 3 years (2018-2021) research project co-funded by Hasler Fundation.

AdVitam explores how human-vehicle interface (HVI) can be designed at different level of attention in shared control driving to keep the driver at the optimum cognitive load and to fully support the potential of semi-automated driving.

The project aims at contributing to the vision of a car as a companion where the driver and the car work collaboratively and interactively as team-members to control the vehicle.

This project involves three PhD students. The first one works on multi-sensory experiences considering the entire car interior in order to support driver supervision tasks and increase situational awareness. The second one investigates how to use different modalities and combine them to improve the intervention of the driver during take-over requests. The third one studies how we can use several psychophysiological signals in order to assess the driver state in real-time.

The work of the three students will outcome in a novel collaborative interaction model between the driver and the vehicle in shared-control driving.

Research team within HES-SO: Mugellini Elena , Abou Khaled Omar , Capallera Marine , Meteier Quentin , De Salis Emmanuel , Carrino Stefano , Angelini Leonardo

Partenaires académiques: Andreas Sonderegger, EPFL+ECAL Lab; Jean-Pierre Bresciani, UniFR

Url of the project site: http://advitam.humantech.institute/

Statut: Ongoing

2024

Exploring the benefits of physical features in virtual reality on customer experience
Scientific paper

Cherix Robin, Julmy Maud, Capallera Marine, Roland Julien, Mugellini Elena

Proceedings of the IHCI 2024+ GET 2024+ CGVCVIP 2024, 13-15 July 2024, Budapest, Hungary, 2024 , pp.  162-165

Link to the publication

Summary:

Virtual try-out experiences suffer from a lack of physicality. If consumers cannot touch or feel what they see, it is less
likely for them to buy it. Here we present work in progress of an immersive luxury watch try-out experience. We added a
3D printed, weighted mock-up to enrich the experience. This mock-up is worn on the wrist, where the virtual watch appears.
User tests show that the proposed experience is very well received and sparks interest for such experience.

2020

Personage VR – A Virtual Reality Story-Telling Tool to Raise Awareness About Ageism.
Book chapter

Carrino Francesco, Moullet Valentin, Abou Khaled Omar, Mugellini Elena, Maggiori Christian

Dans T. Ahram, R. Taiar, V. Gremeaux-Bader & K. Aminian,  Human Interaction, Emerging Technologies and Future Applications II. 2020,  Cham, Switzerland : Advances in Intelligent Systems and Computing

Étude exploratoire pour un programme de sensibilisation vis-à-vis de l’âgisme
Report
Rapport intermédiaire

Maggiori Christian, Mugellini Elena, Carrino Francesco, F. Angelini, Curty Gaël

2020,  Lausanne, Suisse : Fondation Leenaards,  000  p.

Training Pedestrian Safety Skills in Youth with Intellectual Disabilities Using Fully Immersive Virtual Reality.
Scientific paper
A Feasibility Study

Cherix Robin, Piérart Geneviève, Abou Khaled Omar, Mugellini Elena,

HCI International 2020 - Late Breaking Papers., 2020

Link to the publication

2019

Owner Manuals Review and Taxonomy of ADAS Limitations in Partially Automated Vehicles
Scientific paper

Capallera Marine, Meteier Quentin, De Salis Emmanuel, Carrino Stefano, Angelini Leonardo, Abou Khaled Omar, Mugellini Elena

AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019

Link to the publication

Summary:

In the context of highly automated driving, the driver has to be aware of driving risks and to take over control of the car in hazardous situations. The goal of this paper is to categorize and analyze the factors that lead to such critical scenarios. To this purpose, we analyzed limitations of Advanced Driver-Assistance Systems (ADAS) extracted from owner manuals of 12 partially automated cars available on the market. A taxonomy with 6 macro-categories and 26 micro-categories is proposed to classify and better understand the limitations of these vehicles. We also investigated if these limitations are conveyed to the driver through Human-Machine Interaction (HMI) in the car. Some suggestions are made to better communicate these limitations to the driver in order to raise his/her situation awareness.

Workshop on explainable AI in automated driving: a user-centered interaction approach
Scientific paper

Meteier Quentin, Capallera Marine, Angelini Leonardo, Mugellini Elena, Abou Khaled Omar, Carrino Stefano, De Salis Emmanuel, Stéphane Galland, Susanne Boll

AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, 2019

Link to the publication

Summary:

With the increasing use of automation, users tend to delegate more tasks to the machines. Such complex systems are usually developed with "black box" Artificial Intelligence (AI), which makes these systems difficult to understand for the user. This assumption is particularly true in the field of automated driving since the level of automation is constantly increasing via the use of state-of-the-art AI solutions. We believe it is important to investigate the field of Explainable AI (XAI) in the context of automated driving since interpretability and transparency are key factors for increasing trust and security. In this workshop, we aim at gathering researchers and industry practitioners from different fields to brainstorm about XAI with a special focus on human-vehicle interaction. Questions like "what kind of explanation do we need", "which is the best trade-off between performance and explainability" and "how granular should the explanations be" will be addressed in this workshop.

2018

Towards the nestore e-coach: a tangible and embodied conversational agent for older adults
Scientific paper

El Kamali Mira, Angelini Leonardo, Caon Maurizio, Giuseppe Andreoni, Abou Khaled Omar, Mugellini Elena

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Link to the publication

Summary:

The ability to engage the user in a conversation and the credibility of the system are two fundamental characteristics of virtual coaches. In this paper, we present the architecture of a conversational e-coach for promoting healthy lifestyles in older age, developed in the context of the NESTORE H2020 EU project. The proposed system allows multiple access points to a conversational agent via different interaction modalities: a tangible companion that embodies the virtual coach will leverage voice and other non-verbal cues in the domestic environment, while a mobile app will integrate a text-based chat for a ubiquitous intervention. In both cases, the conversational agent will deliver personalized interventions based on behavior change models and will promote trust by means of emotionally rich conversations.

2016

iNUIT: Internet of Things for Urban Innovation
Scientific paper

Ouerhani Nabil, Carrino Francesco, Abou Khaled Omar, Mugellini Elena, Ehrensberger Jürgen

Future Internet Journal, 2016

2012

Demonstration of a Monitoring Lamp to Visualize the Energy Consumption in Houses
Scientific paper

Gisler Christophe, Grazia Barchi, Gérôme Bovet, Mugellini Elena, Monnet Stephen

The 10th International Conference on Pervasive Computing (Pervasive 2012), 2012

Link to the publication

2014

Towards individualised persuasive technology for obesity prevention in teenagers
Conference ArODES

Claudio L. Lafortuna, Maurizio Caon, Sarah H. Tabozzi, Stefano Carrino, Neil S. Coulson, José C. E. Serrano, Marco Sacco, Omar Abou Khaled, Giovanna Rizzo, ELena Mugellini

Proceedings of the International Conference on Health Informatics, 3-6 March 2014, Angers, Loire Valley, France

Link to the conference

Summary:

Obesity is a major clinical problem for individuals and health care systems worldwide, alarmingly fuelled by body mass excess in the juvenile age. In spite of its multi-factorial origin, unhealthy lifestyles relative to alimentary behaviours and physical activity habits play a major causative role. Thus, an important preventive action of this condition can be conducted by fostering motivation of young people towards healthy lifestyles through engagement and inclusion. ICT technologies offer a powerful tool to address effectively this serious medical and societal issue by the development of persuasive strategies based on an accurate modelling of individual's characteristics. PEGASO is a technological multidisciplinary project aimed at promoting healthy lifestyles among teenagers, through assistive technology enhancing motivation to healthy lifestyles, empowered by a virtual individual model (VIM) for user characterisation. The VIM intended for the PEGASO project, including functional, physical and psychosocial aspects profiling young individuals' health status and behaviours relevant in alimentary and physical activity domain, will enable the development of an individualised assistive technology expected to leverage motivation to healthy lifestyles through implicit and explicit interaction.

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