000110852 001__ 110852 000110852 005__ 20220224130327.0 000110852 0247_ $$2doi$$a10.1145/3343036.3343122 000110852 0248_ $$2sideral$$a127724 000110852 037__ $$aART-2019-127724 000110852 041__ $$aeng 000110852 100__ $$aMao, R.$$uUniversidad de Zaragoza 000110852 245__ $$aThe effect of motion on the perception of material appearance 000110852 260__ $$c2019 000110852 5060_ $$aAccess copy available to the general public$$fUnrestricted 000110852 5203_ $$aWe analyze the effect of motion in the perception of material appearance. First, we create a set of stimuli containing 72 realistic materials, rendered with varying degrees of linear motion blur. Then we launch a large-scale study on Mechanical Turk to rate a given set of perceptual attributes, such as brightness, roughness, or the perceived strength of reflections. Our statistical analysis shows that certain attributes undergo a significant change, varying appearance perception under motion. In addition, we further investigate the perception of brightness, for the particular cases of rubber and plastic materials. We create new stimuli, with ten different luminance levels and seven motion degrees. We launch a new user study to retrieve their perceived brightness. From the users'' judgements, we build two-dimensional maps showing how perceived brightness varies as a function of the luminance and motion of the material. 000110852 536__ $$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 765121-DyViTo 000110852 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000110852 590__ $$a1.378$$b2019 000110852 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b63 / 108 = 0.583$$c2019$$dQ3$$eT2 000110852 592__ $$a0.489$$b2019 000110852 593__ $$aComputer Science (miscellaneous)$$c2019$$dQ2 000110852 593__ $$aTheoretical Computer Science$$c2019$$dQ3 000110852 593__ $$aExperimental and Cognitive Psychology$$c2019$$dQ3 000110852 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000110852 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, B.$$uUniversidad de Zaragoza 000110852 700__ $$aLagunas, M.$$uUniversidad de Zaragoza 000110852 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, D.$$uUniversidad de Zaragoza 000110852 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000110852 773__ $$g16 (2019), 1-9$$pACM Transactions on Applied Perception$$tACM Transactions on Applied Perception$$x1544-3558 000110852 8564_ $$s14016467$$uhttps://zaguan.unizar.es/record/110852/files/texto_completo.pdf$$yPostprint 000110852 8564_ $$s2187031$$uhttps://zaguan.unizar.es/record/110852/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000110852 909CO $$ooai:zaguan.unizar.es:110852$$particulos$$pdriver 000110852 951__ $$a2022-02-24-11:50:57 000110852 980__ $$aARTICLE