Modeling the Impacts of Swipe Delay on User Quality of Experience in Short Video Streaming
This addresses user experience issues for short video streaming platforms, providing incremental improvements in QoE modeling.
This paper tackles the problem of swipe delay impacting user experience in short video streaming by conducting a subjective assessment with 132 delay patterns, finding that delays of eight seconds or longer cause dissatisfaction and that early-session delays are less harmful than late-session ones, and proposes a QoE model that outperforms existing ones with high correlation to subjective ratings.
Short video streaming platforms have gained immense popularity in recent years, transforming the way users consume video content. A critical aspect of user interaction with these platforms is the swipe gesture, which allows users to navigate through videos seamlessly. However, the delay between a user's swipe action and the subsequent video playback can significantly impact the overall user experience. This paper presents the first systematic study investigating the effects of swipe delay on user Quality of Experience (QoE) in short video streaming. In particular, we conduct a subjective quality assessment containing 132 swipe delay patterns. The obtained results show that user experience is affected not only by the swipe delay duration, but also by the number of delays and their temporal positions. A single delay of eight seconds or longer is likely to lead to user dissatisfaction. Moreover, early-session delays are less harmful to user QoE than late-session delays. Based on the findings, we propose a novel QoE model that accurately predicts user experience based on swipe delay characteristics. The proposed model demonstrates high correlation with subjective ratings, outperforming existing models in short video streaming.