Eye-tracking feature extraction for biometric machine learning

JZ Lim, J Mountstephens, J Teo - Frontiers in neurorobotics, 2022 - frontiersin.org
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 …

Making conversations with chatbots more personalized

M Shumanov, L Johnson - Computers in Human Behavior, 2021 - Elsevier
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 …

Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis

J Kang, H Du, Z Li, Z Xiong, S Ma… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
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 …

Attention-aware resource allocation and QoE analysis for metaverse xURLLC services

H Du, J Liu, D Niyato, J Kang, Z Xiong… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Metaverse encapsulates our expectations of the next-generation Internet, while bringing
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …

Remote eye gaze tracking research: a comparative evaluation on past and recent progress

IS Shehu, Y Wang, AM Athuman, X Fu - Electronics, 2021 - mdpi.com
Several decades of eye related research has shown how valuable eye gaze data are for
applications that are essential to human daily life. Eye gaze data in a broad sense has been …

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 …

Psychology-informed recommender systems

E Lex, D Kowald, P Seitlinger, TNT Tran… - … and trends® in …, 2021 - nowpublishers.com
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 …

You can't hide behind your headset: User profiling in augmented and virtual reality

PP Tricomi, F Nenna, L Pajola, M Conti… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

Personality and recommender systems

M Tkalčič, L Chen - Recommender systems handbook, 2012 - Springer
Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …

Rethinking eye-blink: Assessing task difficulty through physiological representation of spontaneous blinking

Y Cho - Proceedings of the 2021 CHI conference on human …, 2021 - dl.acm.org
Continuous assessment of task difficulty and mental workload is essential in improving the
usability and accessibility of interactive systems. Eye tracking data has often been …