2015
DOI: 10.1587/transinf.2014edp7422
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Using Designed Structure of Visual Content to Understand Content-Browsing Behavior

Abstract: SUMMARYStudies on gaze analysis have revealed some of the relationships between viewers' gaze and their internal states (e.g., interests and intentions). However, understanding content browsing behavior in uncontrolled environments is still challenging because human gaze can be very complex; it is affected not only by viewers' states but also by the spatiosemantic structures of visual content. This study proposes a novel gaze analysis framework which introduces the content creators' point of view to understand… Show more

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Cited by 3 publications
(6 citation statements)
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“…In [4], the versatility of the use of designed structure is confirmed by using multiple types of layouts. In this paper, we focus on analysis of the sequence of encoded gaze features.…”
Section: Modeling the Content Structurementioning
confidence: 96%
See 2 more Smart Citations
“…In [4], the versatility of the use of designed structure is confirmed by using multiple types of layouts. In this paper, we focus on analysis of the sequence of encoded gaze features.…”
Section: Modeling the Content Structurementioning
confidence: 96%
“…We employ designed structure proposed in [4] to encode eye movements into gaze features. The designed structure can be represented as follows.…”
Section: Modeling the Content Structurementioning
confidence: 99%
See 1 more Smart Citation
“…12. Eye movements are first encoded to a sequence of gaze features using a semantic structure of the catalog, called designed structure (Ishikawa, Kawashima, & Matsuyama, 2015). Designed structure is high-level content structure that reflects the designer's point of view such as groupings of items.…”
Section: Application: Estimation Of Browsing Statesmentioning
confidence: 99%
“…The versatility of the use of designed structure is confirmed by using multiple types of layouts (Ishikawa et al, 2015). This paper focuses on analysis of the sequence of encoded gaze features.…”
Section: Gaze Featuresmentioning
confidence: 99%