000129356 001__ 129356 000129356 005__ 20240731103349.0 000129356 0247_ $$2doi$$a10.1109/TVCG.2023.3320237 000129356 0248_ $$2sideral$$a135293 000129356 037__ $$aART-2023-135293 000129356 041__ $$aeng 000129356 100__ $$0(orcid)0000-0002-5275-8652$$aBernal-Berdún, Edurne$$uUniversidad de Zaragoza 000129356 245__ $$aD-SAV360: A Dataset of Gaze Scanpaths on 360° Ambisonic Videos 000129356 260__ $$c2023 000129356 5060_ $$aAccess copy available to the general public$$fUnrestricted 000129356 5203_ $$aUnderstanding human visual behavior within virtual reality environments is crucial to fully leverage their potential. While previous research has provided rich visual data from human observers, existing gaze datasets often suffer from the absence of multimodal stimuli. Moreover, no dataset has yet gathered eye gaze trajectories (i.e., scanpaths) for dynamic content with directional ambisonic sound, which is a critical aspect of sound perception by humans. To address this gap, we introduce D-SAV360, a dataset of 4,609 head and eye scanpaths for 360° videos with first-order ambisonics. This dataset enables a more comprehensive study of multimodal interaction on visual behavior in virtual reality environments. We analyze our collected scanpaths from a total of 87 participants viewing 85 different videos and show that various factors such as viewing mode, content type, and gender significantly impact eye movement statistics. We demonstrate the potential of D-SAV360 as a benchmarking resource for state-of-the-art attention prediction models and discuss its possible applications in further research. By providing a comprehensive dataset of eye movement data for dynamic, multimodal virtual environments, our work can facilitate future investigations of visual behavior and attention in virtual reality. 000129356 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2019-105004GB-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2022-141539NB-I00$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME 000129356 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000129356 590__ $$a4.7$$b2023 000129356 592__ $$a2.056$$b2023 000129356 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b14 / 131 = 0.107$$c2023$$dQ1$$eT1 000129356 593__ $$aComputer Graphics and Computer-Aided Design$$c2023$$dQ1 000129356 593__ $$aSoftware$$c2023$$dQ1 000129356 593__ $$aSignal Processing$$c2023$$dQ1 000129356 593__ $$aComputer Vision and Pattern Recognition$$c2023$$dQ1 000129356 594__ $$a10.4$$b2023 000129356 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000129356 700__ $$0(orcid)0000-0002-0073-6398$$aMartín, Daniel$$uUniversidad de Zaragoza 000129356 700__ $$0(orcid)0000-0002-8016-7649$$aMalpica, Sandra$$uUniversidad de Zaragoza 000129356 700__ $$aPérez, Pedro J. 000129356 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000129356 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belén$$uUniversidad de Zaragoza 000129356 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza 000129356 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000129356 773__ $$g29, 11 (2023), 4350-4360$$pIEEE trans. vis. comput. graph.$$tIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS$$x1077-2626 000129356 8564_ $$s1034669$$uhttps://zaguan.unizar.es/record/129356/files/texto_completo.pdf$$yPostprint 000129356 8564_ $$s2952032$$uhttps://zaguan.unizar.es/record/129356/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000129356 909CO $$ooai:zaguan.unizar.es:129356$$particulos$$pdriver 000129356 951__ $$a2024-07-31-09:53:45 000129356 980__ $$aARTICLE