In this paper, we propose a non-intrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …

Engagement measurement finds application in healthcare education services. The use of
physiological and behavioral features is viable but the impracticality of traditional …

Engagement analysis finds various applications in healthcare education advertisement
services. Deep Neural Networks used for analysis possess complex architecture and need …

With a never-ending stream of reviews propagating online, consumers encounter countless
good and bad reviews. Depending on which reviews consumers read, they get a different …

This paper presents MOCAS, a multimodal dataset dedicated for human cognitive workload
(CWL) assessment. In contrast to existing datasets based on virtual game stimuli, the data in …

Analysis of non-typical emotions, such as stress, depression and engagement is less
common and more complex compared to that of frequently discussed emotions like …

Audio presentation is often attributed as being capable of influencing a viewer's feeling of
immersion during an audiovisual experience. However, there is limited empirical research …

This qualitative case study explores the blending of physical and digital as phygital
experience at the Rovaniemi Local Heritage Museum in the very specific context of periferal …

This research project investigates whether gaze response can be an objective indicator of
immersion and presence levels in virtual reality (VR) environments. The study argues that …

2Japan Advanced Institute of Science and Technology 3Nippan Techceed Inc. Abstract: Due
to the expand of COVID-19, remote job interviews have increased, but many job seeking …