Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects experiment (𝑁 = 60) investigating the impact of engaging with TikTok, Twitter, and YouTube while performing a Prospective Memory task (i.e., executing a previously planned action). The study required participants to remember intentions over interruptions. We found that the TikTok condition significantly degraded the users’ performance in this task. As none of the other conditions (Twitter, YouTube, no activity) had a similar effect, our results indicate that the combination of short videos and rapid context-switching impairs intention recall and execution. We contribute a quantified understanding of the effect of social media feed format on Prospective Memory and outline consequences for media technology designers not to harm the users’ memory and wellbeing. Description of the Dataset Data frame: The ./data/rt.csv provides the data frame of reaction times. The ./data/acc.csv provides the data frame of reaction accuracy scores. The ./data/q.csv provides the data frame collected from questionnaires. The ./data/ddm.csv is the learned DDM features using ./appendix2_ddm_fitting.ipynb, which is then used in ./3.ddm_anova.ipynb. Figures: All figures appeared in the paper are placed in ./figures and can be reproduced using *_vis.ipynb files.

社交媒体平台通过发布短小而极具吸引力的视频来吸引用户的注意力。尽管由 TikTok 推广的短视频形式迅速蔓延至其他平台，但我们对这些视频对认知功能的影响尚无深入了解。本研究进行了一项受试者间实验（样本量 N = 60），旨在探究在使用 TikTok、Twitter 和 YouTube 进行前瞻性记忆任务（即执行预先计划的行为）时，与这些平台的互动对认知功能的影响。研究要求参与者记住在被打断的情况下如何执行预定的意图。我们发现，TikTok 条件显著降低了用户在该任务中的表现。鉴于其他条件（Twitter、YouTube、无活动）均未产生类似影响，我们的研究结果表明，短视频与快速情境切换的结合会损害用户的意图回忆和执行能力。本研究为社交媒体内容格式对前瞻性记忆的影响提供了量化的理解，并为媒体技术设计师指出避免损害用户记忆与健康福祉的后果。数据集描述：数据框：./data/rt.csv 提供了反应时间的数据框，./data/acc.csv 提供了反应准确率的数据框，./data/q.csv 提供了问卷调查收集的数据，./data/ddm.csv 包含使用 ./appendix2_ddm_fitting.ipynb 学习到的DDM特征，这些特征随后被用于 ./3.ddm_anova.ipynb。图表：论文中出现的所有图表均位于 ./figures 目录中，并可使用 *_vis.ipynb 文件进行重现。