“注意!这是新闻。”认知负荷和Facebook上的新闻帖子:一项眼球追踪研究

Q4 Computer Science
Preeti Srinivasan, Anne Oeldrof-Hirsch, G. H. Joergensen
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引用次数: 0

摘要

个人通过社交媒体获得很多新闻和信息。因此,在这个饱和的空间里,评估他们如何关注和处理新闻内容变得至关重要。本研究利用注意力的认知负荷理论调查了Facebook用户对新闻帖子的视觉参与。使用眼动追踪装置跟踪N = 152名参与者的视觉注意力。遵循3 × 2受试者间因子设计,我们通过改变故事主题(健康或科学)来控制内在认知负荷,通过改变呈现类型(纯文本、纯视频或视频加文本)来控制外在负荷。认知负荷确实会影响注意力,例如那些观看有文字故事的视频的人(高认知负荷)对内容表现出更高的视觉注意力。我们得出的结论是,Facebook上复杂程度较高的内容比不复杂的内容吸引更多的注意力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"Attention! It’s the News.” Cognitive Load and News Posts on Facebook: An Eye-tracking Study
Individuals get much of their news and information through social media. Thus, it has become crucial to evaluate how they are paying attention to and processing news content in this saturated space. The present study investigates users’ visual engagement with news posts on Facebook using cognitive load theory of attention. An eye-tracking device was used to track visual attention of N = 152 participants. Following a 3 x 2 between-subjects factorial design, we manipulated intrinsic cognitive load by varying the story topic (either health or science) and the extraneous load by varying the presentation type (text only, video only, or video with text). Cognitive load does impact attention, such that those who viewed the video with text story (high cognitive load) exhibited higher visual attention to the content. We conclude that content higher in complexity elicits more attention compared to less complex content on Facebook.
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
95
期刊介绍: IJICT is a refereed journal in the field of information and communication technology (ICT), providing an international forum for professionals, engineers and researchers. IJICT reports the new paradigms in this emerging field of technology and envisions the future developments in the frontier areas. The journal addresses issues for the vertical and horizontal applications in this area. Topics covered include: -Information theory/coding- Information/IT/network security, standards, applications- Internet/web based systems/products- Data mining/warehousing- Network planning, design, administration- Sensor/ad hoc networks- Human-computer intelligent interaction, AI- Computational linguistics, digital speech- Distributed/cooperative media- Interactive communication media/content- Social interaction, mobile communications- Signal representation/processing, image processing- Virtual reality, cyber law, e-governance- Microprocessor interfacing, hardware design- Control of industrial processes, ERP/CRM/SCM
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