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Eye-tracking feature extraction for biometric machine learning
Context Eye tracking is a technology to measure and determine the eye movements and eye
positions of an individual. The eye data can be collected and recorded using an eye tracker …
positions of an individual. The eye data can be collected and recorded using an eye tracker …
Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis
Semantic communication, as a promising technology, has emerged to break through the
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …
Making conversations with chatbots more personalized
Many of the world's leading brands and increasingly government agencies are using
intelligent agent technologies, also known as chatbots to interact with consumers. However …
intelligent agent technologies, also known as chatbots to interact with consumers. However …
Attention-aware resource allocation and QoE analysis for metaverse xURLLC services
Metaverse encapsulates our expectations of the next-generation Internet, while bringing
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …
User modeling and user profiling: A comprehensive survey
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …
retrieval and recommender systems, has necessitated advanced user modeling and …
You can't hide behind your headset: User profiling in augmented and virtual reality
Augmented and Virtual Reality (AR and VR), collectively known as Extended Reality (XR),
are increasingly gaining traction thanks to their technical advancement and the need for …
are increasingly gaining traction thanks to their technical advancement and the need for …
Psychology-informed recommender systems
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Most of today's recommendation algorithms are data-driven and based on behavioral data …
To live in their utopia: Why algorithmic systems create absurd outcomes
A Alkhatib - Proceedings of the 2021 CHI conference on human …, 2021 - dl.acm.org
The promise AI's proponents have made for decades is one in which our needs are
predicted, anticipated, and met-often before we even realize it. Instead, algorithmic systems …
predicted, anticipated, and met-often before we even realize it. Instead, algorithmic systems …
Implications of xr on privacy, security and behaviour: Insights from experts
Extended-Reality (XR) devices are packed with sensors that allow tracking of users (eg,
behaviour, actions, eye-gaze) and their surroundings (eg, people, places, objects). As a …
behaviour, actions, eye-gaze) and their surroundings (eg, people, places, objects). As a …
Personality and Recommender Systems.
As argued in Chapter “Individual and Group Decision Making and Recommender Systems”,
an important function of recommender systems is to help people make better decisions. It …
an important function of recommender systems is to help people make better decisions. It …