130043 20241125101149.0 doi 10.1109/TVCG.2023.3247102 sideral 133487 ART-2023-133487 eng Martin, Daniel Universidad de Zaragoza (orcid)0000-0002-0073-6398 A study of change blindness in immersive environments 2023 Access copy available to the general public Unrestricted Human performance is poor at detecting certain changes in a scene, a phenomenon known as change blindness. Although the exact reasons of this effect are not yet completely understood, there is a consensus that it is due to our constrained attention and memory capacity: We create our own mental, structured representation of what surrounds us, but such representation is limited and imprecise. Previous efforts investigating this effect have focused on 2D images; however, there are significant differences regarding attention and memory between 2D images and the viewing conditions of daily life. In this work, we present a systematic study of change blindness using immersive 3D environments, which offer more natural viewing conditions closer to our daily visual experience. We devise two experiments; first, we focus on analyzing how different change properties (namely type, distance, complexity, and field of view) may affect change blindness. We then further explore its relation with the capacity of our visual working memory and conduct a second experiment analyzing the influence of the number of changes. Besides gaining a deeper understanding of the change blindness effect, our results may be leveraged in several VR applications such as redirected walking, games, or even studies on saliency or attention prediction. info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME info:eu-repo/grantAgreement/ES/MICINN/PID2019-105004GB-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.7 2023 COMPUTER SCIENCE, SOFTWARE ENGINEERING 14 / 132 = 0.106 2023 Q1 T1 2.056 2023 Computer Graphics and Computer-Aided Design 2023 Q1 Software 2023 Q1 Signal Processing 2023 Q1 Computer Vision and Pattern Recognition 2023 Q1 10.4 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Sun, Xin Gutierrez, Diego Universidad de Zaragoza (orcid)0000-0002-7503-7022 Masia, Belen Universidad de Zaragoza (orcid)0000-0003-0060-7278 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 29, 5 (2023), 2446-2455 IEEE trans. vis. comput. graph. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 1077-2626 16575699 http://zaguan.unizar.es/record/130043/files/texto_completo.pdf Postprint 3003737 http://zaguan.unizar.es/record/130043/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130043 articulos driver 2024-11-22-12:06:04 ARTICLE