用户控制权对视频广告效果的影响

doi:10.16381/j.cnki.issn1003-207x.2017.02.015

Abstract

Abstract: Video advertising, a widely used online advertising format, has become the major source of revenue for video-viewing websites. However, video ads often interrupt users' video viewing experience, leading to increased annoyance and even negative attitudes towards the advertising brands. In view of the lack of research on the effectiveness of video advertising design and online users' interaction with ads in particular, the current research investigates the effects of users' skipping control over video ads on their attention to and memory of the ads content, as well as their brand attitudes. Furthermore, the moderating role of users' online information task type (i.e., searching versus browsing) is also examined. Drawing on information control and online information task literature, it is proposed that for information browsers, providing skipping control over video ads will lead to increased memory of the ads content and enhanced brand attitudes, whereas the reverse will happen for information searchers.
A 2 (ads control:skippable vs. non-skippable)×2 (task:searching vs. browsing) laboratory experiment is conducted to test the hypotheses. Video viewing platforms with different advertising skipping control are created, and 90 college student participants are randomly assigned to one of the experimental groups. Both questionnaire and eye-tracking data are collected from the participants. The experimental results largely confirm the hypotheses. This research contributes to the literature of online advertising design and effectiveness, and provides practical guidance in terms of how to improve video ads effectiveness through designing for user interactions.

Key words: video advertising, user control, online information task type, attention, memory, brand attitudes

CLC Number:

YI Cheng, ZHOU Mi. How User Control Affects the Effectiveness of Video Advertising?[J]. Chinese Journal of Management Science, 2017, 25(2): 139-146.

References

[1] 中国互联网络信息中心. 第33次中国互联网络发展状况统计报告[R/OL].[2014-01-16].www.cnnil.net.cn/hlwfzyj/hlwtjbg/201403/p020140305346585959798.pdj.

[2] 艾瑞咨询集团. 2012-2013年中国在线视频用户行为研究报告[R/OL].[2013-08-28].www.iresearch.com.cn/report/2015.html.

[3] 沈明辉, 高冲, 李冬. 网络视频广告效果及提升对策研究[J]. 市场研究, 2013, (8):26-28.

[4] Burke M, Hornof A, Nilsen E, et al. High-cost banner blindness:ads increase perceived workload, hinder visual search, and are forgotten[J]. ACM Transactions on Computer-Human Interaction, 2005, 12(4):423-445.

[5] Brehm J W. A theory of psychological reactance[M]. New York:Academic Press, 1966.

[6] Segal D. The great unwatched[N]. The New York Times,[2014-05-04]. http://www.nytimes.com/2014/05/04/business/the-great-unwatched.html?_r=0

[7] 刘春廷. 互动网络广告初探[D]. 济南:山东大学, 2012.

[8] 黎志成, 刘枚莲. 电子商务环境下的消费者行为研究[J]. 中国管理科学, 2002, 10(6):88-91.

[9] 喻建良, 罗长青. 网络横幅广告效果影响因素研究[J]. 湖南大学学报:社会科学版, 2006, 20(3):86-89.

[10] 张芳, 童利忠. 广告说服方式的作用机理探析[J]. 科技和产业, 2007, 7(4):80-83.

[11] 杨慧. 论广告的情感诉求[D]. 苏州:苏州大学, 2005.

[12] 殷红. 考虑广告主信誉的付费搜索拍卖机制研究——均衡、收益与效率分析[J]. 中国管理科学, 2014, 22(11):54-61.

[13] 何继伟, 刘树林. 考虑广告主信誉和用户体验的GSP机制研究[J]. 中国管理科学, 2015, 23(12):150-156.

[14] 林宏伟, 邵培基. 基于互联网环境下的企业网络广告投资策略研究[J]. 中国管理科学, 2014, 22(2):65-74.

[15] Wang Jinqiao, Fang Yikai, Lu Hanqing. Online video advertising based on user's attention relevancy computing[C]//Proceedings of IEEE International Conference on Multimedia and Expo, April 23-26, 2008:1161-1164.

[16] Neshat H S, Hefeeda M. SmartAd:A smart system for effective advertising in online videos[C]//Proceedings of IEEE International Conference on Multimedia and Expo, July 11-15,2011:1-6.

[17] Chan J C F, Jiang Zhanhui, Tan B C Y. Understanding online interruption-based advertising:Impacts of exposure timing, advertising intent, and brand image[J]. IEEE Transactions on Engineering Management, 2010, 57(3):365-379.

[18] 戴维, 白长虹. 价值感知及广告互动对网络广告效果的影响——一项基于消费者认知视角的研究[J]. 中大管理研究, 2012, 7(3):1-19.

[19] 张华, 金定海. 网络传播中的广告效果交互模式[J]. 上海师范大学学报:哲学社会科学版, 2012, (2):75-81.

[20] 莫梅锋. 互动广告发展研究[M]. 北京:新华出版社, 2012.

[21] 梁峰. 交互广告学[M]. 北京:清华大学出版社, 2008.

[22] 李广斗. 品牌秘籍:广告策划基本原理[M]. 北京:作家出版社, 2002.

[23] 唐慧琳. 网络游戏植入式广告互动传播研究[D]. 武汉:华中科技大学, 2010.

[24] 舒咏平. 广告互动传播的实现[J]. 国际新闻界, 2004,(5):61-65.

[25] Langer E J. The psychology of control[M]. Beverly Hills:Sage Publications; 1983.

[26] Hui, M K, Bateson, J E G. Perceived control and the effects of crowding and consumer choice on the service experience[J]. Journal of Consumer Research, 1991, 18(2):174-184.

[27] Ariely D. Controlling the information flow:Effects on consumers' decision making and preferences[J]. Journal of Consumer Research, 2000, 27(2):233-248.

[28] Langer E J. The illusion of control[J]. Journal of Personality and Social Psychology, 1975, 32(2):311-328.

[29] Botti S, Iyengar S S. The dark side of choice:When choice impairs social welfare[J]. Journal of Public Policy & Marketing, 2006, 25(1):24-38.

[30] Deci E L, Ryan R M. Intrinsic motivation and self-determination in human behavior[M]. New York:Plenum, 1985.

[31] Kahneman D. Attention and effort[M]. New Jersey:Englewood Cliffs, 1973.

[32] Hong Weiyin, Thong J Y L, Tam K Y. Does animation attract online users' attention? The effects of flash on information search performance and perceptions[J]. Information Systems Research, 2004, 15(1):60-86.

[33] Pieters R G M, Bijmolt T H A. Consumer memory for television advertising:A field study of duration, serial position, and competition effects[J]. Journal of Consumer Research, 1997, 23(4):362-372.

[34] Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior[M]. New Jersey:Englewood Cliffs, 1980.

[35] Batra R, Ray M L. Situational effects of advertising repetition:the moderating influence of motivation, ability, and opportunity to respond[J]. Journal of Consumer Research, 1986, 12(4):432-445.

[36] Celsi R L, Olson J C. The role of involvement in attention and comprehension processes[J]. Journal of Consumer Research, 1988, 15(2):210-224.

How User Control Affects the Effectiveness of Video Advertising?

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