Quality Assessment of Video Services in the Long Term

Abstract

In traditional subjective video quality experiments, the presented sequences are short and quality ratings are based on a single interaction with a service (i.e., one session). However, in real-life scenarios, users interact with a video service for a longer period of time. If decisions are made, such as to abandon a service, they are formulated based on longitudinal multi-episodic interaction. Therefore, it is important to better understand how quality is perceived in a longer interaction and how quality perception is linked to behavioral implications. My PhD work encompasses a longitudinal study of users’ interactions with a video service using a mobile device. In our study, which consists of six phases, we use different study designs to investigate how users perceive quality in a more ecologically valid setting. The study is carried out using a previously validated setup, which consists of compression software and a mobile application.