DisMouse: Disentangling Information from Mouse Movement Data
Mouse movement data contain rich information about users, performed tasks, and user
interfaces, but separating the respective components remains challenging and unexplored …
interfaces, but separating the respective components remains challenging and unexplored …
Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learning
E-learning has emerged as an indispensable educational mode in the post-epidemic era.
However, this mode makes it difficult for students to stay engaged in learning without …
However, this mode makes it difficult for students to stay engaged in learning without …
Introduction of artificial Intelligence
Artificial intelligence (AI) is referred to as the intelligence developed by machines with
mathematical modeling. In particular, AI is manifested by machine's ability to effectively …
mathematical modeling. In particular, AI is manifested by machine's ability to effectively …
[PDF][PDF] Predicting next actions and latent intents during text formatting
In this work we investigate the challenging task of predicting user intents from mouse and
keyboard input as well as gaze behaviour. Different from prior work, we study intent …
keyboard input as well as gaze behaviour. Different from prior work, we study intent …
Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour
The mouse is a pervasive input device used for a wide range of interactive applications.
However, computational modelling of mouse behaviour typically requires time-consuming …
However, computational modelling of mouse behaviour typically requires time-consuming …
[PDF][PDF] A comparative analysis of web search query: informational vs navigational queries
The search engines are mainly used to retrieve relevant information. Information retrieval
researchers show that queries are the basis for providing better search engine performance …
researchers show that queries are the basis for providing better search engine performance …
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation
Recent work has highlighted the potential of modelling interactive behaviour analogously to
natural language. We propose interactive behaviour summarisation as a novel …
natural language. We propose interactive behaviour summarisation as a novel …
Building Fire Hazard Predictions Using Machine Learning
Building Fire Hazard Predictions Using Machine Learning | SpringerLink Skip to main
content Advertisement SpringerLink Account Menu Find a journal Publish with us Track …
content Advertisement SpringerLink Account Menu Find a journal Publish with us Track …
Predicting Human Errors from Gaze and Cursor Movements
RR Saboundji, RA Rill - 2020 International Joint Conference on …, 2020 - ieeexplore.ieee.org
Intelligent interfaces are increasingly integrated into diverse technological areas. In complex
high-risk environments, where humans represent a crucial part of the system and their …
high-risk environments, where humans represent a crucial part of the system and their …
Your Cursor Reveals: On Analyzing Workers' Browsing Behavior and Annotation Quality In Crowdsourcing Tasks
In this work, we investigate the connection between browsing behavior and task quality of
crowdsourcing workers performing annotation tasks that require information judgements …
crowdsourcing workers performing annotation tasks that require information judgements …