The assessment of Quality of Experience (QoE) has become an essential research area in various domains, including telecommunications, multimedia services, user interfaces, and interactive applications. Understanding and evaluating the subjective experiences of users is crucial for optimizing systems, enhancing user satisfaction, and improving the overall user-centric design.
The primary objective of this research activity is to explore and advance the methodologies for assessing QoE across different domains and media (e.g., 2D, 3D, multiview, VR, AR). By examining various factors that influence user experience, this research aims to develop reliable and effective assessment techniques to measure subjective user perceptions accurately.
Key research areas include:
- User-Centric QoE Evaluation: this research activity focuses on investigating user-centric evaluation methods that capture the subjective experiences of users. These methods include the design and implementation of subjective tests to collect data on users’ perceptions, preferences, and satisfaction levels.
- Objective QoE Metrics: this research activity explores the development of objective QoE metrics. These metrics employ technical measurements and algorithms to assess factors such as video quality, audio quality, response time, latency, and network performance. By combining objective metrics with subjective evaluation, a comprehensive understanding of QoE can be achieved.
- Context-Aware QoE Assessment: context plays a vital role in determining user perception and satisfaction. This research activity investigates the impact of various contextual factors, such as user location, network conditions, device characteristics, and content types, on QoE. By considering the context, we aim to develop context-aware assessment models that provide a more accurate representation of user experience.
Recent publications:
Perceptual Quality Assessment of Spatial Videos on Apple Vision Pro Proceedings Article
In: pp. 20–28, Association for Computing Machinery, Ireland, 2025, ISBN: 9798400720512.
Analysis of Objective 3D Mesh Quality Metrics for Cultural Heritage Proceedings Article
In: 2025 17th International Conference on Quality of Multimedia Experience (QoMEX), pp. 1-4, 2025.
Stress Assessment for Augmented Reality Applications Based on Head Movement Features Journal Article
In: IEEE Transactions on Visualization and Computer Graphics, pp. 1-14, 2024.
On the identification of the leading sensory cue in mulsemedia VR applications Proceedings Article
In: 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), pp. 36-42, 2024.
Interaction goes virtual: towards collaborative XR Proceedings Article
In: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences, pp. 443–446, Association for Computing Machinery, Stockholm, Sweden, 2024, ISBN: 9798400705038.