Implicit Search Intent Recognition using EEG and Eye Tracking: Novel Dataset and Cross-User Prediction
For machines to effectively assist humans in challenging visual search tasks, they must
differentiate whether a human is simply glancing into a scene (navigational intent) or …
differentiate whether a human is simply glancing into a scene (navigational intent) or …
MASTER-XR: Mixed Reality Ecosystem for Teaching Robotics in Manufacturing
Many industries are transitioning to Industry 4.0 production models by adopting robots in
their manufacturing processes. In parallel, Extended Reality (XR) technologies have …
their manufacturing processes. In parallel, Extended Reality (XR) technologies have …
Evaluating the Feasibility of Predicting Information Relevance During Sensemaking with Eye Gaze Data
Eye gaze patterns vary based on reading purpose and complexity, and can provide insights
into a reader's perception of the content. We hypothesize that during a complex …
into a reader's perception of the content. We hypothesize that during a complex …
RULKKG: Estimating User's Knowledge Gain in Search-as-Learning Using Knowledge Graphs
In the context of search as learning, users engage in search sessions to fill their information
gaps and achieve their learning goals. Tracking the user's state of knowledge is therefore …
gaps and achieve their learning goals. Tracking the user's state of knowledge is therefore …
Perceived Text Relevance Estimation Using Scanpaths and GNNs
A scanpath is an important concept in eye tracking that represents a person's eye
movements in a graph-like structure. Passive gaze-based interfaces, in which users do not …
movements in a graph-like structure. Passive gaze-based interfaces, in which users do not …
Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval
Eye movements were shown to be an effective source of implicit relevance feedback in
information retrieval tasks. They can be used to, eg, estimate the relevance of read …
information retrieval tasks. They can be used to, eg, estimate the relevance of read …
On the Influence of Reading Sequences on Knowledge Gain During Web Search
Nowadays, learning increasingly involves the usage of search engines and web resources.
The related interdisciplinary research field search as learning aims to understand how …
The related interdisciplinary research field search as learning aims to understand how …
Saccadic Eye Movements and Search Task Difficulty as Basis of Modelling User Knowledge in Information Seeking
Designing user-adaptive search systems necessitates modeling the user's knowledge state
during information seeking. Gaze data offers insights into cognitive processes during task …
during information seeking. Gaze data offers insights into cognitive processes during task …
Detecting when Users Disagree with Generated Captions
The pervasive integration of artificial intelligence (AI) into daily life has led to a growing
interest in AI agents that can learn continuously. Interactive Machine Learning (IML) has …
interest in AI agents that can learn continuously. Interactive Machine Learning (IML) has …
The ensemble of neural networks to track eye movements
N Shakhovska, B Kalysh - 2023 IEEE 18th International …, 2023 - ieeexplore.ieee.org
In today's world, where computers and other electronic devices are in every office and home,
cursor control is becoming an increasingly important task. Eye tracking can be used to …
cursor control is becoming an increasingly important task. Eye tracking can be used to …