The Effects of In-Stream Video Advertising on Ad Information Encoding: A Neurophysiological Study

References

• Abcarian, K. 2020. “The Secret to Successful Addressable TV.” Nielsen, August 29. https://www.nielsen.com/us/en/insights/article/2020/the-secret-to-successful-addressable-tv/.
   Google Scholar
• Achermann, P., and A. A. Borbély. 1997. “Low-Frequency (<1hz) Oscillations in the Human Sleep Electroencephalogram.” Neuroscience 81 (1):213–22. doi:10.1016/S0306-4522(97)00186-3
   PubMed Web of Science ®Google Scholar
• Acquisti, A., and S. Spiekermann. 2011. “Do Interruptions Pay off? Effects of Interruptive Ads on Consumers’ Willingness to Pay.” Journal of Interactive Marketing 25 (4):226–40. doi:10.1016/j.intmar.2011.04.003
   Web of Science ®Google Scholar
• Anand, P., and B. Sternthal. 1990. “Ease of Message Processing as a Moderator of Repetition Effects in Advertising.” Journal of Marketing Research 27 (3):345–53. doi:10.1177/002224379002700308
   Web of Science ®Google Scholar
• Astolfi, L., F. De Vico Fallani, F. Cincotti, D. Mattia, L. Bianchi, M. G. Marciani, S. Salinari, A. Colosimo, A. Tocci, R. Soranzo, et al. 2008. “Neural Basis for Brain Responses to TV Commercials: A High-Resolution EEG Study.” IEEE Transactions on Neural Systems and Rehabilitation Engineering: A Publication of the IEEE Engineering in Medicine and Biology Society 16 (6):522–31. doi:10.1109/TNSRE.2008.2009784
   PubMed Web of Science ®Google Scholar
• Baldo, D., H. Parikh, Y. Piu, and K.-M. Müller. 2015. “Brain Waves Predict Success of New Fashion Products: A Practical Application for the Footwear Retailing Industry.” Journal of Creating Value 1 (1):61–71. doi:10.1177/2394964315569625
   Google Scholar
• Bar-Anan, Y., T. D. Wilson, and D. T. Gilbert. 2009. “The Feeling of Uncertainty Intensifies Affective Reactions.” Emotion (Washington, D.C.) 9 (1):123–7. doi:10.1037/a0014607
   PubMed Web of Science ®Google Scholar
• Baumgartner, H., R. Pieters, and R. P. Bagozzi. 2008. “Future‐Oriented Emotions: Conceptualization and Behavioral Effects.” European Journal of Social Psychology 38 (4):685–96. doi:10.1002/ejsp.467
   Web of Science ®Google Scholar
• Bell, R., and A. Buchner. 2018. “Positive Effects of Disruptive Advertising on Consumer Preferences.” Journal of Interactive Marketing 41:1–13. doi:10.1016/j.intmar.2017.09.002
   Web of Science ®Google Scholar
• Bjorklund, D. F., W. S. Cassel, B. R. Bjorklund, R. D. Brown, C. L. Park, K. Ernst, and F. A. Owen. 2000. “Social Demand Characteristics in Children’s and Adults’ Eyewitness Memory and Suggestibility: The Effect of Different Interviewers on Free Recall and Recognition.” Applied Cognitive Psychology 14 (5):421–33. doi:10.1002/1099-0720(200009)14:5<421::AID-ACP659>3.0.CO;2-4
   Web of Science ®Google Scholar
• Bolls, P. D., D. D. Muehling, and K. Yoon. 2003. “The Effects of Television Commercial Pacing on Viewers’ Attention and Memory.” Journal of Marketing Communications 9 (1):17–28. doi:10.1080/1352726032000068032
   Google Scholar
• Briesemeister, B. B., S. Tamm, A. Heine, and A. M. Jacobs. 2013. “Approach the Good, Withdraw from the Bad—A Review on Frontal Alpha Asymmetry Measures in Applied Psychological Research.” Psychology 04 (03):261–7. doi:10.4236/psych.2013.43A039
   Google Scholar
• Campbell, C., F. Mattison Thompson, P. E. Grimm, and K. Robson. 2017. “Understanding Why Consumers Don’t Skip Pre-Roll Video Ads.” Journal of Advertising 46 (3):411–23. doi:10.1080/00913367.2017.1334249
   Web of Science ®Google Scholar
• Christianson, S.-Å. 1992. “Emotional Stress and Eyewitness Memory: A Critical Review.” Psychological Bulletin 112 (2):284–309. doi:10.1037/0033-2909.112.2.284
   PubMed Web of Science ®Google Scholar
• Chun, M. M., J. D. Golomb, and N. B. Turk-Browne. 2011. “A Taxonomy of External and Internal Attention.” Annual Review of Psychology 62 (1):73–101. doi:10.1146/annurev.psych.093008.100427
   PubMed Web of Science ®Google Scholar
• Davidson, R. J., G. E. Schwartz, C. Saron, J. Bennett, and D. J. Goleman. 1979. “Frontal versus Parietal EEG Asymmetry during Positive and Negative Affect.” Psychophysiology 16:202–3.
   Web of Science ®Google Scholar
• Dix, S. R., and I. Phau. 2017. “Predictors of Commercial Zapping during Live Prime-Time Television: An Observation-Based Study Identifies Factors That Drive TV Channel Switching.” Journal of Advertising Research 57 (1):15–27. doi:10.2501/JAR-2017-010
   Web of Science ®Google Scholar
• Edwards, S. M., H. Li, and J. H. Lee. 2002. “Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-up Ads.” Journal of Advertising 31 (3):83–95. doi:10.1080/00913367.2002.10673678
   Web of Science ®Google Scholar
• Eryilmaz, H., D. Van De Ville, S. Schwartz, and P. Vuilleumier. 2011. “Impact of Transient Emotions on Functional Connectivity during Subsequent Resting State: A Wavelet Correlation Approach.” Neuroimage 54 (3):2481–91. doi:10.1016/j.neuroimage.2010.10.021
   PubMed Web of Science ®Google Scholar
• Fullerton, L. 2017. “Pre-Roll Video Ads Are Still the Most Effective, Study Suggests.” The Drum, April 18. https://www.thedrum.com/news/2017/04/18/pre-roll-video-ads-are-still-the-most-effective-study-suggests
   Google Scholar
• Golnar-Nik, P., S. Farashi, and M.-S. Safari. 2019. “The Application of EEG Power for the Prediction and Interpretation of Consumer Decision-Making: A Neuromarketing Study.” Physiology & Behavior 207:90–8. doi:10.1016/j.physbeh.2019.04.025
   PubMed Web of Science ®Google Scholar
• Guixeres, J., E. Bigné, J. M. Ausín Azofra, M. Alcañiz Raya, A. Colomer Granero, F. Fuentes Hurtado, and V. Naranjo Ornedo. 2017. “Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising.” Frontiers in Psychology 8. doi:10.3389/fpsyg.2017.01808
   PubMed Web of Science ®Google Scholar
• Henckens, M. J., E. J. Hermans, Z. Pu, M. Joels, and G. Fernandez. 2009. “Stressed Memories: How Acute Stress Affects Memory Formation in Humans.” The Journal of Neuroscience : The Official Journal of the Society for Neuroscience 29 (32):10111–9. doi:10.1523/JNEUROSCI.1184-09.2009
   PubMed Web of Science ®Google Scholar
• Jeong, Y. 2011. “The Impact of Commercial Break Position on Advertising Effectiveness in Different Mood Conditions.” Journal of Promotion Management 17 (3):291–314. doi:10.1080/10496491.2011.596765
   Google Scholar
• Kensinger, E. A., and S. Corkin. 2004. “Two Routes to Emotional Memory: Distinct Neural Processes for Valence and Arousal.” Proceedings of the National Academy of Sciences of the United States of America 101 (9):3310–5. doi:10.1073/pnas.0306408101
   PubMed Web of Science ®Google Scholar
• Kern, R. P., T. M. Libkuman, H. Otani, and K. Holmes. 2005. “Emotional Stimuli, Divided Attention, and Memory.” Emotion (Washington, D.C.) 5 (4):408–17. doi:10.1037/1528-3542.5.4.408
   PubMed Web of Science ®Google Scholar
• Knyazev, G. G. 2012. “Eeg Delta Oscillations as a Correlate of Basic Homeostatic and Motivational Processes.” Neuroscience and Biobehavioral Reviews 36 (1):677–95. doi:10.1016/j.neubiorev.2011.10.002
   PubMed Web of Science ®Google Scholar
• Korean Broadcast Advertising Corporation. 2016. Media & Consumer Research Annual Report (ISSN 1975-6925). https://adstat.kobaco.co.kr/mcr/portal/dataSet/fileInfoPage.do? pageIndex=0&pageSize=0&searchItem=&searchText=&datasetId=DS_MST_0000000225#
   Google Scholar
• Kothe, C. A., and S. Makeig. 2013. “BCILAB: A Platform for Brain–Computer Interface Development.” Journal of Neural Engineering 10 (5):056014. doi:10.1088/1741-2560/10/5/056014
   PubMed Web of Science ®Google Scholar
• Lang, A. 2017. “Limited Capacity Model of Motivated Mediated Message Processing (LC4MP).” In The International Encyclopedia of Media Effects, edited by P. Rössler, C. A. Hoffner, and L. Zoonen, 1–9. Hoboken, NJ: John Wiley & Sons, Inc. doi: 10.1002/9781118783764.wbieme0077
   Google Scholar
• Lee. 2022. “Study on Commercial Break.” January 10. https://osf.io/93ydk/?view_only=53101a7c9e3c4cb18616508645b2639c
   Google Scholar
• Li, H., and H.-Y. Lo. 2015. “Do You Recognize Its Brand? the Effectiveness of Online in-Stream Video Advertisements.” Journal of Advertising 44 (3):208–18. doi:10.1080/00913367.2014.956376
   Web of Science ®Google Scholar
• Libkuman, T. M., P. Nichols-Whitehead, J. Griffith, and R. Thomas. 1999. “Source of Arousal and Memory for Detail.” Memory & Cognition 27 (1):166–90. doi:10.3758/bf03201222
   PubMed Web of Science ®Google Scholar
• Lim, W. M. 2018. “What Will Business-to-Business Marketers Learn from Neuro-Marketing? Insights for Business Marketing Practice.” Journal of Business-to-Business Marketing 25 (3):251–9. doi:10.1080/1051712X.2018.1488915
   Web of Science ®Google Scholar
• Lloyd, D. W., and K. J. Clancy. 1991. “Television Program Involvement and Advertising Response: Some Unsettling Implications for Copy Research.” Journal of Consumer Marketing 8 (4):61–74. doi:10.1108/07363769110035162
   Google Scholar
• MathWorks Inc. (2022). MATLAB version: 9.13.0 (R2022b). Natick, MA: MathWorks, Inc. https://www.mathworks.com
   Google Scholar
• McCreery, S., and D. M. Krugman. 2017. “Tablets and TV Advertising: Understanding the Viewing Experience.” Journal of Current Issues & Research in Advertising 38 (2):197–211. doi:10.1080/10641734.2017.1291386
   Google Scholar
• Meinhardt, J., and R. Pekrun. 2003. “Attentional Resource Allocation to Emotional Events: An ERP Study.” Cognition & Emotion 17 (3):477–500. doi:10.1080/02699930244000039
   PubMed Web of Science ®Google Scholar
• Moorman, Marjolein, Peter C. Neijens, and Edith G. Smit. 2005. “The Effects of Program Responses on the Processing of Commercials Placed at Various Positions in the Program and the Block.” Journal of Advertising Research 45 (01):49. doi:10.1017/S0021849905050105
   Web of Science ®Google Scholar
• Moorman, M., L. M. Willemsen, P. C. Neijens, and E. G. Smit. 2012. “Program-Involvement Effects on Commercial Attention and Recall of Successive and Embedded Advertising.” Journal of Advertising 41 (2):25–38. doi:10.2753/JOA0091-3367410202
   Web of Science ®Google Scholar
• Nam, Y., H. S. Lee, and J. W. Jun. 2019. “The Influence of Pre-Roll Advertising VOD via IPTV and Mobile TV on Consumers in Korea.” International Journal of Advertising 38 (6):867–85. doi:10.1080/02650487.2019.1637613
   Google Scholar
• Ofcom. 2020. “The Ofcom Broadcasting Code (with the Cross-promotion Code and the On Demand Programme Service Rules).” December 31. https://www.ofcom.org.uk/tv-radio-and-on-demand/broadcast-codes/legacy
   Google Scholar
• Ohme, R., D. Reykowska, D. Wiener, and A. Choromanska. 2010. “Application of Frontal EEG Asymmetry to Advertising Research.” Journal of Economic Psychology 31 (5):785–93. doi:10.1016/j.joep.2010.03.008
   Web of Science ®Google Scholar
• Peters, R. G., and T. H. Bijmolt. 1997. “Consumer Memory for Television Advertising: A Field Study of Duration, Serial Position, and Competition Effects.” Journal of Consumer Research 23 (4):362–372. doi:10.1086/209489
   Web of Science ®Google Scholar
• Pion-Tonachini, L., K. Kreutz-Delgado, and S. Makeig. 2019. “ICLabel: An Automated Electroencephalographic Independent Component Classifier, Dataset, and Website.” NeuroImage 198:181–97. doi:10.1016/j.neuroimage.2019.05.026
   PubMed Web of Science ®Google Scholar
• Plassmann, H., V. Venkatraman, S. Huettel, and C. Yoon. 2015. “Consumer Neuroscience: Applications, Challenges, and Possible Solutions.” Journal of Marketing Research 52 (4):427–35. doi:10.1509/jmr.14.0048
   Web of Science ®Google Scholar
• Potter, R. F., and P. Bolls. 2012. Psychophysiological Measurement and Meaning: Cognitive and Emotional Processing of Media. New York: Routledge. doi:10.4324/9780203181027
   Google Scholar
• Pozharliev, R., W. J. M. I. Verbeke, and R. P. Bagozzi. 2017. “Social Consumer Neuroscience: Neurophysiological Measures of Advertising Effectiveness in a Social Context.” Journal of Advertising 46 (3):351–62. doi:10.1080/00913367.2017.1343162
   Web of Science ®Google Scholar
• Read, G. L., and I. J. Innis. 2018. “Electroencephalography (EEG).” In The International Encyclopedia of Communication Research Methods, edited by J. Matthes, C. S. Davis, & R. F. Potter, 1–18. Hoboken, NJ: Wiley-Blackwell.
   Google Scholar
• Read, G. L., I. J. Innis, I. I. van Driel, and R. F. Potter. 2019. “Mates or Married? Implications of Gender Composition and Physical Intimacy on Evaluation of Images Tested for Advertising.” Communication Research Reports 36 (3):220–30. doi:10.1080/08824096.2019.1605894
   Web of Science ®Google Scholar
• Reeves, B., E. Thorson, M. L. Rothschild, D. McDonald, J. Hirsch, and R. Goldstein. 1985. “Attention to Television: Intrastimulus Effects of Movement and Scene Changes on Alpha Variation over Time.” The International Journal of Neuroscience 27 (3–4):241–55. doi:10.3109/00207458509149770
   PubMed Web of Science ®Google Scholar
• Roy, M. 2013. “Effects of Commercial Breaks Placement on Television Advertisement Effectiveness.” International Journal of Business and Social Science 4 (9):73–79.
   PubMedGoogle Scholar
• Stanton, S. J., W. Sinnott-Armstrong, and S. A. Huettel. 2017. “Neuromarketing: Ethical Implications of Its Use and Potential Misuse.” Journal of Business Ethics 144 (4):799–811. doi:10.1007/s10551-016-3059-0
   Web of Science ®Google Scholar
• Vecchiato, G., L. Astolfi, F. De Vico Fallani, F. Cincotti, D. Mattia, S. Salinari, R. Soranzo, and F. Babiloni. 2010. “Changes in Brain Activity during the Observation of TV Commercials by Using EEG, GSR and HR Measurements.” Brain Topography 23 (2):165–79. doi:10.1007/s10548-009-0127-0
   PubMed Web of Science ®Google Scholar
• Wilson, T. D., and D. T. Gilbert. 2008. “Explaining Away: A Model of Affective Adaptation.” Perspectives on Psychological Science: A Journal of the Association for Psychological Science 3 (5):370–86. doi:10.1111/j.1745-6924.2008.00085.x
   PubMedGoogle Scholar
• Yadava, M., P. Kumar, R. Saini, P. P. Roy, and D. P. Dogra. 2017. “Analysis of EEG Signals and Its Application to Neuromarketing.” Multimedia Tools and Applications 76 (18):19087–111. doi:10.1007/s11042-017-4580-6
   Web of Science ®Google Scholar
• Yonhap. 2021. “Commercial Breaks to Be Allowed for Terrestrial TV Networks.” The Korean Herald, June 30.
   Google Scholar