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A QoE evaluation on the influence of spatial audio on visual attention in 360° videos
(IEEE, 2020-08-31)
Recently, there has been growing interest from academia and industry on the application of immersive technologies across a range of domains. Once such technology, 360° video, can be captured using an omnidirectional ...
Evaluating the user in a sound localisation task in a virtual reality application.
(IEEE, 2020-05)
Virtual reality (VR) has proven to be a powerful tool enabling the development of immersive multimedia experiences. Initially focused on entertainment, industry and academia have begun to adapt and develop immersive ...
Comparing user QoE via physiological and interaction measurements of immersive AR and VR speech and language therapy applications.
(ACM, 2017)
Virtual reality (VR)1and augmented reality (AR) applications are
gaining significant attention in industry and academia as potential
avenues to support truly immersive and interactive multimedia
experiences. Understanding ...
A QoE assessment method based on EDA, heart rate and EEG of a virtual reality assistive technology system.
(ACM, 2018)
The1 key aim of various assistive technology (AT) systems is to augment an individual’s functioning whilst supporting an enhanced quality of life (QoL). In recent times, we have seen the emergence of Virtual Reality (VR) ...
A QoE evaluation of an immersive virtual reality autonomous driving experience.
(IEEE, 2020-05-26)
The driver/passenger role in autonomous driving experiences is an important subject that is concerned with how these systems will interact and communicate with the human stakeholder. Even though self-driving technologies ...
Eye-based continuous affect prediction.
(IEEE Xplore, 2019-12)
Eye-based information channels include the pupils, gaze, saccades, fixational movements, and numerous forms of eye opening and closure. Pupil size variation indicates cognitive load and emotion, while a person's gaze ...
Continuous affect prediction using eye gaze and speech.
(IEEE, 2017-12)
Affective computing research traditionally focused on labeling a person's emotion as one of a discrete number of classes e.g. happy or sad. In recent times, more attention has been given to continuous affect prediction ...
A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
(IEEE, 2020-06)
Recent developments in wearable technology
have led to increased research interest in using peripheral
physiological signals for emotion recognition. The non-invasive
nature of peripheral physiological signal measurement ...