In　order　to　measure　the　perceptual　quality　of　images,　it　is　important　to　find　suitable　Image　Quality　Assessment　(IQA)　methods.　Compared　with　the　traditional　objective　IQA　methods,　the　subjective　IQA　methods　can　more　truly　reflect　users＇　subjective　feelings　on　image　quality.　However,　the　evaluation　steps　in　subjective　experiments　will　interfere　with　the　process　of　subjects　viewing　images.　We　propose　a　non-intrusive　IQA　method　based　on　eye-tracking　technology　to　overcome　the　shortcoming.　Through　subjective　experiments,　we　collect　the　eye　movement　data　of　subjects　and　calculate　four　main　features　from　them.　The　analysis　results　of　the　eye　movement　parameters　indicate　that　users　pay　attention　to　different　areas　of　images　with　different　qualities.　Then,　we　use　the　eye　movement　parameters　to　design　the　Non-Intrusive　Subjective　(NIS)　IQA　algorithm　which　is　a　new　subjective　quality　metric　of　images.　Experimental　results　reveal　that　the　validity　and　feasibility　of　the　proposed　metric.　©　2021　IEEE.