We study the relationship between acceptability/annoyance rating and traditional MOS quality ratings of UGC videos. Acceptability/annoyance is a key concept for evaluating services, as it classify whether the delivered service quality falls into acceptable, annoying but acceptable, or not acceptable. This relates to the willingness of users to use those services. While audiovisual quality estimation models have a long research history, the translation of these quality scores to acceptability and willingness to use the services has only been weakly studied. In this work, a new dataset was then created to evaluate both quality and the acceptability/annoyance of videos. Different state-of-the-art quality prediction models videos were evaluated at predicting quality of UGC videos. Furthermore, performance at predicting acceptability/annoyance of videos was also tested.