A survey on measuring cognitive workload in human-computer interaction
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 …
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
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …
cognitively removed from the driving process. Psychophysiological measures may provide …
Next steps for human-computer integration
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 …
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
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 …
source for modelling & predicting learning behaviour. In this paper we set out to quantify …
A Survey on Cross‐Virtuality Analytics
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 …
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …
Biofeedback for everyday stress management: A systematic review
Background: Mainly due to an increase in stress-related health problems and driven by
recent technological advances in biosensors, microelectronics, computing platform, and …
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 …
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
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 …
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
Abstract Research Summary Multimodal data, comprising interdependent unstructured text,
image, and audio data that collectively characterize the same source, with video being a …
image, and audio data that collectively characterize the same source, with video being a …
Dance and choreography in HCI: a two-decade retrospective
Designing computational support for dance is an emerging area of HCI research,
incorporating the cultural, experiential, and embodied characteristics of the third-wave shift …
incorporating the cultural, experiential, and embodied characteristics of the third-wave shift …