Several big tech companies are currently eager of building the metaverse, mainly through virtual reality experiences. Albeit immersive, in shared virtual environments it might be difficult to have emotionally rich interactions. Indeed, current available headsets and VR applications have limited possibilities for tracking and sharing emotions. We believe that physiological signal technology could enhance future metaverse applications. In this context, this paper presents a framework for visualizing, recording and synchronizing experiences in VR with human body signals. In order to prove the effectiveness of the system, we illustrate a use case and the development of a proof-of-concept scenario. Finally, we present the results of the tests co...
Immersive technologies offer the potential to drive engagement and create exciting experiences. A be...
We study the promotion of positive social interactions in VR by fostering empathy with other users p...
The rising popularity of learning techniques in data analysis has recently led to an increased need ...
With the advances in Virtual Reality (VR) and physiological sensing technology, even more immersive ...
The Metaverse is defined as an interconnected network of 3D environments that enable multisensory in...
Here we introduce the design and preliminary validation of a general-purpose architecture for affect...
Here, we introduce the design and preliminary validation of a general-purpose architecture for affec...
Virtual reality scenarios are restricted, from a psychological point of view, to the feedback from a...
Bodily signals can complement subjective and behavioral measures to analyze human factors, such as u...
Synchrony at the physiological level provides an objective measure that can be utilized to examine t...
The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which...
[EN] Affective Computing has emerged as an important field of study that aims to develop systems tha...
With the advent of consumer grade virtual reality (VR) headsets and physiological measurement device...
Computer graphics is—in many cases—about visualizing what you cannot see. However, virtual reality (...
A cluster of research in Affective Computing suggests that it is possible to infer some characterist...
Immersive technologies offer the potential to drive engagement and create exciting experiences. A be...
We study the promotion of positive social interactions in VR by fostering empathy with other users p...
The rising popularity of learning techniques in data analysis has recently led to an increased need ...
With the advances in Virtual Reality (VR) and physiological sensing technology, even more immersive ...
The Metaverse is defined as an interconnected network of 3D environments that enable multisensory in...
Here we introduce the design and preliminary validation of a general-purpose architecture for affect...
Here, we introduce the design and preliminary validation of a general-purpose architecture for affec...
Virtual reality scenarios are restricted, from a psychological point of view, to the feedback from a...
Bodily signals can complement subjective and behavioral measures to analyze human factors, such as u...
Synchrony at the physiological level provides an objective measure that can be utilized to examine t...
The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which...
[EN] Affective Computing has emerged as an important field of study that aims to develop systems tha...
With the advent of consumer grade virtual reality (VR) headsets and physiological measurement device...
Computer graphics is—in many cases—about visualizing what you cannot see. However, virtual reality (...
A cluster of research in Affective Computing suggests that it is possible to infer some characterist...
Immersive technologies offer the potential to drive engagement and create exciting experiences. A be...
We study the promotion of positive social interactions in VR by fostering empathy with other users p...
The rising popularity of learning techniques in data analysis has recently led to an increased need ...