WeBIUM 1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM) @UMAP 2024

Objectives Topics Program Committee Important Dates Program Organizers

DESCRIPTION

Wearable Devices (WDs), encompassing a spectrum from smartwatches to fitness trackers, continuously furnish a wealth of physiological and activity-related data. This trove of information facilitates the creation of robust user models, offering a dynamic lens into users’daily lives, health patterns, and interaction behaviours. Furthermore, the integration of Brain-Computer Interfaces (BCIs), directly interfacing with neural signals, presents a distinctive vantage point into cognitive processes and emotional states. This integration enriches user models, providing a profound understanding of mental states and engagement levels. While BCIs cannot be strictly categorized as WD s, the latest hardware developments are reaching a size comparable to earphones, anticipating their wearable integration in the near future. However, the exploitation of data from these devices for user modelling and profiling, enhancing personalized activities such as music listening and movie watching, remains an area ripe for exploration.
This workshop proposes an in-depth exploration of the transformative impact that data from WDs and BCIs can exert on user modelling. This initiative seeks to pave the way for a nuanced comprehension of individual preferences, cognitive states, and overall user experiences. The workshop invites researchers, practitioners, and enthusiasts to the convergence of wearable technology, BCIs, and user modelling. Through interactive sessions and discussions, participants will delve into the methodologies, challenges, and opportunities associated with harnessing data from these innovative sources. By fostering collaboration and facilitating knowledge exchange, the workshop aims to propel the current understanding of user modelling by exploiting WD s and BCIs. Attendees will acquire insights into cutting-edge research findings, practical applications, and potential future developments within this rapidly evolving field. Ultimately, the workshop aspires to inspire new research directions, catalyze interdisciplinary collaborations, and cultivate innovative solutions that leverage the synergy between wearable technologies and BCIs to elevate the field of user modelling to unprecedented heights.

OBJECTIVES

The 1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM) is dedicated to exploring the comprehensive utilization of data derived from Wearable Devices (WDs) and Brain-Computer Interfaces (BCIs) to elevate the user experience through enhanced user profiling and modelling. The primary objective is to catalyze research endeavours that leverage WDs and BCIs to obtain real-time biological data, thereby advancing the precision of user profiling. WeBIUM is committed to fostering innovations in user modelling, with the overarching goal of improving user engagement and satisfaction through the provision of more accurate contextual and user information to personalization algorithms. This commitment aligns with the insights presented in existing literature. WeBIUM endeavours to facilitate meaningful discussions and knowledge exchange among researchers and practitioners on the implementation of solutions that harness WDs and BCIs data. The workshop specifically aims to:

Share cutting-edge research and methodologies encompassing new design technologies and evaluation approaches
Identify and address forthcoming challenges in the interdisciplinary realm of WDs, BCIs, and AI
Recognize emerging issues that warrant attention within the broader field

By providing a place for interdisciplinary collaboration, WeBIUM aspires to forge a community dedicated to leveraging WD and BCI data for user profiling. We encourage active participation from researchers and practitioners alike, fostering an environment conducive to collaborative exploration and the exchange of innovative ideas.

TOPICS

Topics of interest include, but are not limited to:

Signal processing methods for wearable sensor data
Machine and Deep learning algorithms for user behaviour analysis from WD and BCI data
Real-time data processing challenges and solutions
Privacy concerns in collecting and analyzing WD and BCI data
Security measures for protecting user data from WDs
Ethical implications of using WD and BCI data for personalized experiences
Development of user models based on WD and BCI data
Personalization strategies for improving user profiles
Challenges in creating accurate and dynamic user profiles based on WDs and BCIs
User modelling in immersive digital environments
User acceptance and adoption of WDs and BCIs
Security aspects of using WDs for personal and environmental data
Advanced Feature Modeling Architectures for WDs and BCIs
Model interpretability in WD and BCI applications
Evaluation metrics tailored for predictive models in the context of WDs and BCIs
Innovative methodologies for user studies in wearable technologies
Ethical considerations in conducting user studies exploring WDs and BCIs

CATEGORIES OF SUBMISSIONS:

Long Research Papers: These are reserved for reports on mature original research results. The expected length of a long paper submission should be in the range of 8-14 pages of content, plus up to 3 pages for references.
Short Research Papers: Authors may choose this category if they wish to report on smaller case studies or ongoing original research efforts. The expected length of a short paper submission should be in the range of 4-7 pages of content, plus up to 2 pages for references.
Position Papers: These deal with novel unexplored research ideas or viewpoints which describe trends or fruitful starting points for future research and elicit discussion. The expected length of a position paper submission should be 2 pages of content, plus up to 2 pages for references.
Demo Submissions – System Papers: Authors who wish to demonstrate their system may choose this category and provide a description of their system and demo. The expected length of a demo/system paper submission should be up to 5 pages of content, plus up to 2 pages for references.

PROGRAM COMMITTEE

Carmelo Antonio Ardito - Università LUM “Giuseppe Degennaro”, Italy
Giuseppe D’Aniello - Università of Salerno, Italy
Pietro Pinoli - Politecnico di Milano, Italy
Elvira Brattico - Aarhus University, Denmark
Hasan Ayaz - Drexel University, Philadelphia, USA
Yehia Ibrahim - University of Liverpool, UK
Yalin Zheng - University of Liverpool and Liverpool Heart and Chest Hospital, UK
Daniele Malitesta - Centralesupelec, Université Paris-Paclay, Paris, France
Tiago Falk, University of Quebec, Canada
Andrea Pazienza, NTT DATA Italia SpA
Noemi Mauro, University of Torino
Eelco Herder, Utrecht University

IMPORTANT DATES

~~April 15, 2024: abstract and title submission (mandatory)~~
~~April 24,~~May 3, 2024: paper submission
May 8, 2024: notification to authors
May 16, 2024: camera-ready due

Submit a paper

During the submission process select “1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling”.

PROGRAM

The 1st Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling - WEBIUM24, will take place on Thursday, July 4, from 9.00 to 12.30.

09.15-10.30: Paper Presentation 1
09.15-09.40: Marzo S. et al. - “Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis”.
09.40-10.05: Mongardi S. et al. - “Exploring Federated Learning for Emotion Recognition on Brain-Computer Interfaces”.
10.05-10:30: Festa F. et al. - “EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface”.
10.30-11.00: Coffee Break
11.00-11.45: Paper Presentation 2
11.00-11.25: Kumar K. et al. - “Assessing Human Visual Attention in Retail Human-Robot Interaction: A YOLOv8-Nano and Eye-Tracking Approach”.
11.25-11.50: Biancofiore G. M. et al. - “ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation”.
11.50-12.20: Panel discussion with the Authors of the accepted papers
12.20-12.30: Closing Remarks