Jaeung Sim, Kyungmin Choi, Sang Pil Han, Daegon Cho
{"title":"In-Consumption Information Cues and Online Video Consumption","authors":"Jaeung Sim, Kyungmin Choi, Sang Pil Han, Daegon Cho","doi":"10.25300/misq/2023/17763","DOIUrl":null,"url":null,"abstract":"<style>#html-body [data-pb-style=QTOOY8P]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>Online video platforms such as YouTube feature visual cues on progress bars to spotlight standout segments of videos. These cues, designed to steer users toward intriguing content moments, raise questions about their overarching impact on video consumption patterns. In this study, we delve into in-consumption information cues (ICICs), indicators that depict fluctuating video quality in real time. Drawing from a natural experiment on a live streaming platform, we evaluate the effects of engagement graphs. These are visual timelines that emphasize moments favored by prior viewers in video-on-demand (VOD) content, which represent full replays of live stream sessions. Notably, these graphs are only accessible to iOS users, leaving Android users without access. Our results show that ICICs enhance the viewership of VODs and live streams. Moreover, viewers tend to spend more time immersed in live broadcasts, suggesting heightened content appeal. Yet, these engagement graphs do not prompt users to donate more virtual gifts, a vital income stream for streamers. Even with the introduction of ICICs, while there is a rise in video production, the inherent structure of live streams remained largely unchanged. We conclude by discussing the academic and managerial implications of these findings.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"37 1","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mis Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.25300/misq/2023/17763","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Online video platforms such as YouTube feature visual cues on progress bars to spotlight standout segments of videos. These cues, designed to steer users toward intriguing content moments, raise questions about their overarching impact on video consumption patterns. In this study, we delve into in-consumption information cues (ICICs), indicators that depict fluctuating video quality in real time. Drawing from a natural experiment on a live streaming platform, we evaluate the effects of engagement graphs. These are visual timelines that emphasize moments favored by prior viewers in video-on-demand (VOD) content, which represent full replays of live stream sessions. Notably, these graphs are only accessible to iOS users, leaving Android users without access. Our results show that ICICs enhance the viewership of VODs and live streams. Moreover, viewers tend to spend more time immersed in live broadcasts, suggesting heightened content appeal. Yet, these engagement graphs do not prompt users to donate more virtual gifts, a vital income stream for streamers. Even with the introduction of ICICs, while there is a rise in video production, the inherent structure of live streams remained largely unchanged. We conclude by discussing the academic and managerial implications of these findings.
#html-body [data-pb-style=QTOOY8P]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}Online video platforms such as YouTube feature features visual cues on progress bars to spotlight standout segments of videos.这些提示旨在将用户引向引人入胜的内容时刻,但它们对视频消费模式的总体影响却引发了疑问。在本研究中,我们深入研究了消费内信息提示(ICIC),即实时描述视频质量波动的指标。通过在直播平台上进行自然实验,我们评估了参与图的效果。这些可视化时间线强调了视频点播(VOD)内容中受先前观众青睐的时刻,代表了直播流会话的完整回放。值得注意的是,这些图表只有 iOS 用户才能访问,安卓用户无法访问。我们的研究结果表明,ICIC 提高了 VOD 和直播流的观看率。此外,观众往往会花更多时间沉浸在直播中,这表明内容的吸引力有所提高。然而,这些参与图并没有促使用户捐赠更多的虚拟礼物,而这正是流媒体的重要收入来源。即使引入了 ICIC,虽然视频制作量有所增加,但直播流的固有结构基本保持不变。最后,我们将讨论这些发现的学术和管理意义。
期刊介绍:
Journal Name: MIS Quarterly
Editorial Objective:
The editorial objective of MIS Quarterly is focused on:
Enhancing and communicating knowledge related to:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Addressing professional issues affecting the Information Systems (IS) field as a whole
Key Focus Areas:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Professional issues affecting the IS field as a whole