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Andrii Matviienko
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2 records found
1
Conference paper
(2026)
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Florian Müller, Andrii Matviienko, Alessandro Bozzon, Carmen Santoro, Larbi Abdenebaoui, Andrea Lavazza, Andreas Komninos, Nicolas Sklavos
AI-driven services continuously infer "models-of-users"to personalize content, automate decisions, and optimize interaction. Yet, most user models remain opaque, fragmented across platforms, and hard to correct, transfer, or revoke. As a result, personalisation in AI-driven services is commonly experienced as a trade-off between privacy and platform lock-in. Users must stay loyal to platforms if a model of adequate utility is to be built around them. This tension is sharpened by emerging regulatory obligations around transparency and user oversight (e.g., GDPR and the EU AI Act). We propose a full-day EICS 2026 workshop that focuses on engineering cross-compatible personalization: a vision for future interactive systems in which users can make their digital self-representations inspectable, editable, and selectively shareable. The workshop brings together researchers and practitioners from interactive systems engineering, HCI, AI/ML, and security/privacy to (1) map the design and engineering space of user-sovereign personalization; (2) derive reusable artifacts for the EICS community, such as a reference architecture, protocol sketches, and a pattern language of interaction techniques; and (3) seed a community around building interoperable toolchains for AI personalization that is not only accurate, but also controllable, auditable, and context-adaptive.
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AI-driven services continuously infer "models-of-users"to personalize content, automate decisions, and optimize interaction. Yet, most user models remain opaque, fragmented across platforms, and hard to correct, transfer, or revoke. As a result, personalisation in AI-driven services is commonly experienced as a trade-off between privacy and platform lock-in. Users must stay loyal to platforms if a model of adequate utility is to be built around them. This tension is sharpened by emerging regulatory obligations around transparency and user oversight (e.g., GDPR and the EU AI Act). We propose a full-day EICS 2026 workshop that focuses on engineering cross-compatible personalization: a vision for future interactive systems in which users can make their digital self-representations inspectable, editable, and selectively shareable. The workshop brings together researchers and practitioners from interactive systems engineering, HCI, AI/ML, and security/privacy to (1) map the design and engineering space of user-sovereign personalization; (2) derive reusable artifacts for the EICS community, such as a reference architecture, protocol sketches, and a pattern language of interaction techniques; and (3) seed a community around building interoperable toolchains for AI personalization that is not only accurate, but also controllable, auditable, and context-adaptive.
In emergencies of suffocating patients, doctors typically perform an incision made through the skin and cricothyroid membrane to clear the patient’s airway. This type of procedure is called coniotomy. To master this procedure, doctors must undergo simulated practical training, sometimes under high stress. Current practical sessions often include models to simulate coniotomy that consists of the skin and the larynges with attached tracheae from butchered pigs, which are not always available, are expensive, and might be unsustainable to use. In this work, we present a reusable phantom larynx setup to facilitate a coniotomy procedure that is easier and cheaper. Our proposed setup comprises a 3D-printed polyurethane larynx with silicon rubber to simulate skin and accommodate multiple incisions. With this setup, we aim to provide visitors with an interactive and safe experience by performing the coniotomy procedure using a scalpel on the right spot and placing the ventilating tube.
...
In emergencies of suffocating patients, doctors typically perform an incision made through the skin and cricothyroid membrane to clear the patient’s airway. This type of procedure is called coniotomy. To master this procedure, doctors must undergo simulated practical training, sometimes under high stress. Current practical sessions often include models to simulate coniotomy that consists of the skin and the larynges with attached tracheae from butchered pigs, which are not always available, are expensive, and might be unsustainable to use. In this work, we present a reusable phantom larynx setup to facilitate a coniotomy procedure that is easier and cheaper. Our proposed setup comprises a 3D-printed polyurethane larynx with silicon rubber to simulate skin and accommodate multiple incisions. With this setup, we aim to provide visitors with an interactive and safe experience by performing the coniotomy procedure using a scalpel on the right spot and placing the ventilating tube.