是什么让美丽的风景美丽:形容词名词对眼球追踪和凝视分析的注意

Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia Pub Date : 2015-10-30 DOI:10.1145/2813524.2813532

Mohammad Al-Naser, Seyyed Saleh Mozaffari Chanijani, S. S. Bukhari, Damian Borth, A. Dengel

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引用次数: 8

摘要

本文提出了这样的问题:是什么让美丽的景观变得美丽，是什么让受损的建筑看起来受损?它解决了理解形容词名词对(ANP)图像的哪个区域在被人类主体观察时吸引注意的挑战。我们使用眼动追踪技术来记录一组多个anp图像上的凝视，并为这些anp导出感兴趣的区域。我们的贡献是研究anp背景下的眼睛注视模式及其客观或主观以及整体与局部之间的特征。我们的发现表明，对ANP标签评价不同的被试也有不同的注视模式。此外，我们还提供了内隐和外显ANP评估中ANP注意的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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What Makes a Beautiful Landscape Beautiful: Adjective Noun Pairs Attention by Eye-Tracking and Gaze Analysis

This paper asks the questions: what makes a beautiful landscape beautiful, what makes a damaged building look damaged? It tackles the challenge to understand which regions of Adjective Noun Pairs (ANP) images attract attention when observed by a human subject. We employ eye-tracking techniques to record the gaze over a set of multiple ANPs images and derive regions of interests for these ANPs. Our contribution is to study eye fixation pattern in the context of ANPs and their characteristics between being objective or subjective on the one hand and holistic vs. localizable on the other hand. Our finding indicate that subjects who differ in their assessment of ANP labels also have different eye fixation pattern. Further, we provide insights about ANP attention during implicit and explicit ANP assessment.

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Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia

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