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 …
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 …
intelligent agent technologies, also known as chatbots to interact with consumers. However …
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 …
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 …
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 …
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 …
predicted, anticipated, and met-often before we even realize it. Instead, algorithmic systems …
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 …
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 …
Personality and recommender systems
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 …
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 …
usability and accessibility of interactive systems. Eye tracking data has often been …