A survey on measuring cognitive workload in human-computer interaction

T Kosch, J Karolus, J Zagermann, H Reiterer… - ACM Computing …, 2023 - dl.acm.org
The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

The role of eye gaze in security and privacy applications: Survey and future HCI research directions

C Katsini, Y Abdrabou, GE Raptis, M Khamis… - Proceedings of the 2020 …, 2020 - dl.acm.org
For the past 20 years, researchers have investigated the use of eye tracking in security
applications. We present a holistic view on gaze-based security applications. In particular …

Predicting workers' inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment

N Kim, J Kim, CR Ahn - Advanced Engineering Informatics, 2021 - Elsevier
At construction workplaces, workers should be consistently attentive to approaching and
nearby safety hazards. However, workers tend to allocate most of their attentional resources …

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 …

[HTML][HTML] Combining gaze and AI planning for online human intention recognition

R Singh, T Miller, J Newn, E Velloso, F Vetere… - Artificial Intelligence, 2020 - Elsevier
Intention recognition is the process of using behavioural cues, such as deliberative actions,
eye gaze, and gestures, to infer an agent's goals or future behaviour. In artificial intelligence …

Understanding the impact of the reality-virtuality continuum on visual search using fixation-related potentials and eye tracking features

F Chiossi, U Gruenefeld, BJ Hou, J Newn… - Proceedings of the …, 2024 - dl.acm.org
While Mixed Reality allows the seamless blending of digital content in users' surroundings, it
is unclear if its fusion with physical information impacts users' perceptual and cognitive …

Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learning

R Zhu, L Shi, Y Song, ZM Cai - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
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 …

TimelyTale: a multimodal dataset approach to assessing passengers' explanation demands in highly automated vehicles

G Kim, S Hwang, M Seong, D Yeo, D Rus… - Proceedings of the ACM …, 2024 - dl.acm.org
Explanations in automated vehicles enhance passengers' understanding of vehicle decision-
making, mitigating negative experiences by increasing their sense of control. These …

Keep calm and do not carry-forward: Toward sensor-data driven AI agent to enhance human learning

K Sharma, S Lee-Cultura, M Giannakos - Frontiers in Artificial …, 2022 - frontiersin.org
The integration of Multimodal Data (MMD) and embodied learning systems (such as Motion
Based Educational Games, MBEG), can help learning researchers to better understand the …

Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study

X Chen, N Srivastava, R Jain, J Healey… - Proceedings of the 2023 …, 2023 - dl.acm.org
Deep reading fosters text comprehension, memory, and critical thinking. The growing
prevalance of digital reading on mobile interfaces raises concerns that deep reading is …