Natalia Cieplińska

ORCID: 0000-0001-6047-2833
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About
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Research Areas
  • Image and Video Quality Assessment
  • Multimedia Communication and Technology
  • Video Coding and Compression Technologies
  • Video Analysis and Summarization
  • Patient Satisfaction in Healthcare
  • Telemedicine and Telehealth Implementation
  • Healthcare Systems and Technology
  • Virtual Reality Applications and Impacts
  • Complex Systems and Decision Making
  • Advanced Optical Imaging Technologies
  • Innovation and Knowledge Management
  • Data Visualization and Analytics
  • Visual Attention and Saliency Detection

AGH University of Krakow
2021-2024

Jagiellonian University
2024

Recently an impressive development in immersive technologies, such as Augmented Reality (AR), Virtual (VR) and 360<inline-formula><tex-math notation="LaTeX">${^\circ }$</tex-math></inline-formula> video, has been witnessed. However, methods for quality assessment have not keeping up. This paper studies of video from the cross-lab tests (involving ten laboratories more than 300 participants) carried out by Immersive Media Group (IMG) Video Quality Experts (VQEG). These were addressed to...

10.1109/tmm.2021.3093717 article EN cc-by IEEE Transactions on Multimedia 2021-07-05

During the Covid-19 pandemic, use of videoconferencing for medical consultations between patients and general practitioners (GPs) has strongly increased. The aim this work-in-progress paper is to investigate which factors (technical non-technical) influence patients' doctor's Quality Experience with video ("tele-consultations") how. We report on findings from an online questionnaire (N=109) (ongoing) semi-structured interview study targeting GPs (N=4), highlighting importance both technical...

10.1109/qomex51781.2021.9465376 article EN 2021-06-14

This paper presents ‘Daily Video’, an innovative application designed to facilitate longitudinal studies in the realm of quality experience (QoE). The simulates real-life video service consumption and collects daily subjective assessments from users, promoting in-depth understanding user engagement habits over time. Key features include scheduling, customised queries, feedback, device orientation tracking instant access results, all which enhance application’s adaptability usability for a...

10.1016/j.softx.2024.101637 article EN cc-by SoftwareX 2024-01-29

This paper proposes a novel aggregation method using the Kumaraswamy distribution to analyze partial metric values, particularly in evaluation of video quality. Through weighted mean procedure, we unravel underlying effects on data. The three experiments analyzed this demonstrates methods efficacy regardless time aggregation, ranging from days, minutes, and frames. approach, grounded distribution, offers robust analytical tool understand how individual values amalgamate, affecting overall...

10.2352/ei.2024.36.11.hvei-228 article EN cc-by Electronic Imaging 2024-01-21

Quality of Experience (QoE) is a standardized measure user experience with service. However, typical study applying QoE measurement far from users' daily behavior. The question arises, does probe quality judgments accurately? Should testers be specifically asked to pay attention change in quality? Here we report long-term proposing assessment methodology. We our all issues related the service and analyze how many those reports refer quality. also compare results this new approach experiment.

10.2139/ssrn.4425753 preprint EN 2023-01-01

In traditional subjective video quality experiments, the presented sequences are short and ratings based on a single interaction with service (i.e., one session). However, in real-life scenarios, users interact for longer period of time. If decisions made, such as to abandon service, they formulated longitudinal multi-episodic interaction. Therefore, it is important better understand how perceived perception linked behavioral implications. My PhD work encompasses study users' interactions...

10.1145/3573381.3596509 article EN 2023-06-12

This paper presents ‘Daily Video’, an innovative application designed to facilitate longitudinal studies in the realm of quality experience (QoE). The simulates real-life video service consumption and collects daily subjective assessments from users, promoting in-depth understanding user engagement habits over time. Key features include scheduling, customised queries, feedback, device orientation tracking instant access results, all which enhance app’s adaptability usability for a variety...

10.2139/ssrn.4639904 preprint EN 2023-01-01
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