Viewing distance and display resolution have ar-guably a significant impact on perceived image quality; images seen on a mobile phone with high pixel density reveal fewer distortions than the same images seen on a large TV from a close distance. However, only a few image and video quality metrics account for the effect of viewing distance and resolution. Those that do, typically rely on contrast sensitivity functions (CSFs) of the visual system. Other metrics can be potentially adapted to different viewing distances by rescaling input images. In this paper, we investigate the performance of such adapted metrics together with those that natively account for viewing distance. The results for three testing datasets indicate that there is no evidence that the metrics based on the CSF outperform those that rely on rescaled images. Moreover, we found that both methods are not successful to account for the changes in quality introduced by the change in viewing distance. We conclude that accounting for viewing distances requires better models.