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 …

Survey and synthesis of state of the art in driver monitoring

A Halin, JG Verly, M Van Droogenbroeck - Sensors, 2021 - mdpi.com
Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems

D Dellermann, A Calma, N Lipusch, T Weber… - arxiv preprint arxiv …, 2021 - arxiv.org
Recent technological advances, especially in the field of machine learning, provide
astonishing progress on the road towards artificial general intelligence. However, tasks in …

Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens

H Park, D Ahn, K Hosanagar, J Lee - … of the 2021 CHI conference on …, 2021 - dl.acm.org
Recently, Artificial Intelligence (AI) has been used to enable efficient decision-making in
managerial and organizational contexts, ranging from employment to dismissal. However, to …

Few-shot adaptive gaze estimation

S Park, SD Mello, P Molchanov… - Proceedings of the …, 2019 - openaccess.thecvf.com
Inter-personal anatomical differences limit the accuracy of person-independent gaze
estimation networks. Yet there is a need to lower gaze errors further to enable applications …

[HTML][HTML] Measuring mental workload variations in office work tasks using fNIRS

S Midha, HA Maior, ML Wilson, S Sharples - International Journal of Human …, 2021 - Elsevier
The motivation behind using physiological measures to estimate cognitive activity is typically
to build technology that can help people to understand themselves and their work, or indeed …

Towards end-to-end video-based eye-tracking

S Park, E Aksan, X Zhang, O Hilliges - … , Glasgow, UK, August 23–28, 2020 …, 2020 - Springer
Estimating eye-gaze from images alone is a challenging task, in large parts due to un-
observable person-specific factors. Achieving high accuracy typically requires labeled data …

Affective multimodal human-computer interaction

M Pantic, N Sebe, JF Cohn, T Huang - Proceedings of the 13th annual …, 2005 - dl.acm.org
Social and emotional intelligence are aspects of human intelligence that have been argued
to be better predictors than IQ for measuring aspects of success in life, especially in social …

Ehtask: Recognizing user tasks from eye and head movements in immersive virtual reality

Z Hu, A Bulling, S Li, G Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Understanding human visual attention in immersive virtual reality (VR) is crucial for many
important applications, including gaze prediction, gaze guidance, and gaze-contingent …

Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems

P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi… - arxiv preprint arxiv …, 2022 - arxiv.org
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …