Ikuta Hikaru, Wöhler Leslie, Aizawa Kiyoharu
Department of Information and Communication Engineering, The University of Tokyo, Tokyo, 113-8656, Japan.
The University of Tokyo JSPS International Research Fellow, Tokyo, 113-8656, Japan.
Sci Rep. 2023 Nov 20;13(1):20291. doi: 10.1038/s41598-023-47120-w.
Comics are a bimodal form of art involving a mixture of text and images. Since comics require a combination of various cognitive processes to comprehend their contents, the analysis of human comic reading behavior sheds light on how humans process such bimodal forms of media. In this paper, we particularly focus on the viewing times of each comic panel as a quantitative measure of attention, and analyze the statistical characteristics of the distributions of comic panel viewing times. We create a user interface that presents comics in a panel-wise manner, and measure the viewing times of each panel through a user study experiment. We collected data from 18 participants reading 7 comic book volumes resulting in over 99,000 viewing time data points, which will be released publicly. The results show that the average viewing times are proportional to the text length contained in the panel's speech bubbles, with a rate of proportion differing for each reader, despite the bimodal setting. Additionally, we find that the viewing time for all users follows a common heavy-tailed distribution.
漫画是一种涉及文本与图像混合的双峰艺术形式。由于漫画需要多种认知过程相结合来理解其内容，对人类漫画阅读行为的分析有助于揭示人类如何处理这种双峰形式的媒介。在本文中，我们特别关注每个漫画分格的观看时间，将其作为注意力的一种量化度量，并分析漫画分格观看时间分布的统计特征。我们创建了一个以分格方式呈现漫画的用户界面，并通过用户研究实验测量每个分格的观看时间。我们收集了18名参与者阅读7卷漫画书的数据，得到了超过99000个观看时间数据点，这些数据将公开发布。结果表明，尽管是双峰设置，但平均观看时间与分格对话框中包含的文本长度成正比，且每个读者的比例速率有所不同。此外，我们发现所有用户的观看时间都遵循一种常见的重尾分布。
