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Now showing items 11-18 of 18
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 ...
A QoE and visual attention evaluation on the influence of spatial audio in 360° videos
(Athlone Institute of Technology, 2020-06)
What is the impact of different types of
audio (stereo & spatial) on user QoE
(Quality of Experience) and Visual
Attention in 360° video environments?
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 ...
A quality of experience evaluation of an immersive virtual reality application developed to assess spatial auditory ability.
(Athlone Institute of Technology, 2019)
In recent years, virtual reality (VR) technology has proven to be a
powerful tool to create immersive environments with high quality visual
and auditory experiences. Moreover, it can be used as an effective
application ...
A QoE evaluation of an immersive virtual reality autonomous driving experience [Poster]
(Athlone Institute of Technology, 2020-06)
At the early stages of adoption, Autonomous Vehicles (AVs) with high automation (SAE level 4 and 5) will share the streets with other road users (i.e. pedestrians, human-driven vehicles, cyclists, etc.) and depend on current ...
A novel mixed methods approach to synthesize EDA data with behavioral data to gain educational insight
(MDPI, 2020-11-30)
Whilst investigating student performance in design and arithmetic tasks, as well as during
exams, electrodermal activity (EDA)-based sensors have been used in attempts to understand
cognitive function and cognitive load. ...
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 ...