Task-dependent visual behavior in immersive environments: a comparative study of free exploration, memory and visual search

Malpica, Sandra (Universidad de Zaragoza) ; Martín, Daniel (Universidad de Zaragoza) ; Serrano, Ana (Universidad de Zaragoza) ; Gutiérrez, Diego (Universidad de Zaragoza) ; Masia, Belén (Universidad de Zaragoza)

Resumen: Visual behavior depends on both bottom-up mechanisms, where gaze is driven by the visual conspicuity of the stimuli, and top-down mechanisms, guiding attention towards relevant areas based on the task or goal of the viewer. While this is well-known, visual attention models often focus on bottom-up mechanisms. Existing works have analyzed the effect of high-level cognitive tasks like memory or visual search on visual behavior; however, they have often done so with different stimuli, methodology, metrics and participants, which makes drawing conclusions and comparisons between tasks particularly difficult. In this work we present a systematic study of how different cognitive tasks affect visual behavior in a novel within-subjects design scheme. Participants performed free exploration, memory and visual search tasks in three different scenes while their eye and head movements were being recorded. We found significant, consistent differences between tasks in the distributions of fixations, saccades and head movements. Our findings can provide insights for practitioners and content creators designing task-oriented immersive applications.

Idioma: Inglés

DOI: 10.1109/TVCG.2023.3320259

Año: 2023

Publicado en: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 29, 11 (2023), 4417-4425
ISSN: 1077-2626

Factor impacto JCR: 4.7 (2023)

Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 14 / 132 = 0.106 (2023) - Q1 - T1

Factor impacto CITESCORE: 10.4 - Software (Q1) - Signal Processing (Q1) - Computer Vision and Pattern Recognition (Q1) - Computer Graphics and Computer-Aided Design (Q1)

Factor impacto SCIMAGO: 2.056 - Computer Graphics and Computer-Aided Design (Q1) - Software (Q1) - Signal Processing (Q1) - Computer Vision and Pattern Recognition (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2019-105004GB-I00
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2022-141539NB-I00
Financiación: info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON
Financiación: info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)