Wearable Devices (WDs), encompassing a spectrum from smart-watches 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 asWDs, 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 WDs 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.

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM) / Colafiglio, Tommaso; Di Noia, Tommaso; Lofù, Domenico; Lombardi, Angela; Narducci, Fedelucio; Sorino, Paolo. - (2024), pp. 597-600. (Intervento presentato al convegno 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 tenutosi a Cagliari; Italia) [10.1145/3631700.3658529].

Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)

Tommaso Colafiglio
;
Angela Lombardi;
2024

Abstract

Wearable Devices (WDs), encompassing a spectrum from smart-watches 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 asWDs, 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 WDs 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.
2024
32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024
Information systems; Wearable Devices; User Modelling Applications; Brain-Computer Interfaces (BCI); Smart Assistant
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM) / Colafiglio, Tommaso; Di Noia, Tommaso; Lofù, Domenico; Lombardi, Angela; Narducci, Fedelucio; Sorino, Paolo. - (2024), pp. 597-600. (Intervento presentato al convegno 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 tenutosi a Cagliari; Italia) [10.1145/3631700.3658529].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1727035
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