Mixup-Based Deep Metric Learning Approaches For incomplete Supervision
Luiz Buris, Daniel Pedronette, Joao Papa, Jurandy Almeida, Gustavo Carneiro, Fabio Faria
-
SPS
IEEE Members: $11.00
Non-members: $15.00
The rise of eXtended Reality (XR) has led to multiple ways of including the user's body in interactive experiences. However, the delay limits of self-view rendering in interactive XR remain unexplored. This article presents a minimum self-view latency system and an interactive task-based experiment to study the influence of different levels of self-view delay on Quality of Experience (QoE) and task performance. During the experiment, 23 users tested 8 delay conditions (from 190 to 597 ms) while building block-based models. The results show a hard threshold in terms of involvement and overall quality around 450ms. However, the impact on adaptation and execution time was less pronounced. This indicates that although users adapted to the task in a certain way, their immersion was severely affected above a certain self-view delay value.