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 …

A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

Next steps for human-computer integration

FF Mueller, P Lopes, P Strohmeier, W Ju… - Proceedings of the …, 2020 - dl.acm.org
Human-Computer Integration (HInt) is an emerging paradigm in which computational and
human systems are closely interwoven. Integrating computers with the human body is not …

[HTML][HTML] Multimodal data as a means to understand the learning experience

MN Giannakos, K Sharma, IO Pappas… - International Journal of …, 2019 - Elsevier
Most work in the design of learning technology uses click-streams as their primary data
source for modelling & predicting learning behaviour. In this paper we set out to quantify …

A Survey on Cross‐Virtuality Analytics

B Fröhler, C Anthes, F Pointecker… - Computer Graphics …, 2022 - Wiley Online Library
Cross‐virtuality analytics (XVA) is a novel field of research within immersive analytics and
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …

Biofeedback for everyday stress management: A systematic review

B Yu, M Funk, J Hu, Q Wang, L Feijs - Frontiers in ICT, 2018 - frontiersin.org
Background: Mainly due to an increase in stress-related health problems and driven by
recent technological advances in biosensors, microelectronics, computing platform, and …

Multimodal data fusion in learning analytics: A systematic review

S Mu, M Cui, X Huang - Sensors, 2020 - mdpi.com
Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …

Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review

C Filippini, D Perpetuini, D Cardone, AM Chiarelli… - Applied Sciences, 2020 - mdpi.com
Over recent years, robots are increasingly being employed in several aspects of modern
society. Among others, social robots have the potential to benefit education, healthcare, and …

Introducing machine‐learning‐based data fusion methods for analyzing multimodal data: An application of measuring trustworthiness of microenterprises

X Luo, N Jia, E Ouyang, Z Fang - Strategic Management …, 2024 - Wiley Online Library
Abstract Research Summary Multimodal data, comprising interdependent unstructured text,
image, and audio data that collectively characterize the same source, with video being a …

Dance and choreography in HCI: a two-decade retrospective

Q Zhou, CC Chua, J Knibbe, J Goncalves… - Proceedings of the 2021 …, 2021 - dl.acm.org
Designing computational support for dance is an emerging area of HCI research,
incorporating the cultural, experiential, and embodied characteristics of the third-wave shift …