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The Face of Bad Advertising: Assessing the Effects of Human Face Images in Advertisement Design Using Eye-Tracking

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2021)

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Abstract

Visual messaging has been widely researched in psychology and communications specifically within the area of advertising [2, 3]. Such messaging research seeks to identify the characteristics and variables within an advertisement that contribute most to its effectiveness [4]. The present study aimed to investigate the relationship between the presence of a human face image in print advertising and viewer affinity for ad content. Thirty-three participants were instructed to preview 42 different personal injury law firm advertisements. Mean eye gaze fixation durations were recorded within both text and image areas of interest (AOIs). Additionally, self-reported advertisement ratings were used to stratify ads into low and high-affinity categories. Findings from the study indicate that there was less time spent engaging with text content in poorly rated advertisements when an image of a human face was present. Interestingly, this effect was not present in advertisements with favorable ratings, where longer fixation durations were dedicated to text AOIs as opposed to image AOIs regardless of the presence of a face image. These results suggest that negatively perceived human faces may impact the perception of an advertisement’s message and demonstrates that combined eye-tracking and self-reported measures can provide a comprehensive neuroergonomic assessment of advertisement preference and engagement in real-world environments.

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References

  1. Nasiri, S., Sammaknejad, N., Sabetghadam, M.A.: The effect of human face and gaze direction in advertising. Int. J. Bus. Forecast. Mark. Intell. 6(3), 221–237 (2020)

    Google Scholar 

  2. Scott, L.M.: Images in advertising: the need for a theory of visual rhetoric. J. Consum. Res. 21(2), 252–273 (1994)

    Article  Google Scholar 

  3. Phillips, B.J., McQuarrie, E.F.: Beyond visual metaphor: a new typology of visual rhetoric in advertising. Mark. Theory 4(1–2), 113–136 (2004)

    Article  Google Scholar 

  4. Mehta, A.: Advertising attitudes and advertising effectiveness. J. Advertising Res. 40(3), 67–72 (2000)

    Article  Google Scholar 

  5. Xiao, L., Ding, M.: Just the faces: exploring the effects of facial features in print advertising. Mark. Sci. 33(3), 338–352 (2014)

    Article  Google Scholar 

  6. Pascalis, O., De Haan, M., Nelson, C.A.: Is face processing species-specific during the first year of life? Science 296(5571), 1321–1323 (2002)

    Article  Google Scholar 

  7. Hancock, P.J., Burton, A.M., Bruce, V.: Face processing: human perception and principal components analysis. Memory Cogn. 24(1), 26–40 (1996)

    Article  Google Scholar 

  8. Guido, G., et al.: Effects of face images and face pareidolia on consumers’ responses to print advertising: an empirical investigation. J. Advertising Res. 59(2), 219–231 (2019)

    Article  Google Scholar 

  9. Henderson, J.M., Choi, W.: Neural correlates of fixation duration during real-world scene viewing: evidence from fixation-related (FIRE) fMRI. J. Cogn. Neurosci. 27(6), 1137–1145 (2015)

    Article  Google Scholar 

  10. Ales, F., Giromini, L., Zennaro, A.: Complexity and cognitive engagement in the Rorschach task: an eye-tracking study. J. Pers. Assess. 102(4), 538–550 (2020)

    Article  Google Scholar 

  11. Ayaz, H., et al.: Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: empirical examples and a technological development. Front. Hum. Neurosci. 7, 871 (2013)

    Article  Google Scholar 

  12. Mehta, R.K., Parasuraman, R.: Neuroergonomics: a review of applications to physical and cognitive work. Front. Hum. Neurosci. 7, 889 (2013)

    Article  Google Scholar 

  13. Ayaz, H., Dehais, F.: Neuroergonomics: The Brain at Work and in Everyday Life. Academic Press, Cambridge (2018)

    Google Scholar 

  14. Parasuraman, R., Rizzo, M.: Neuroergonomics: The Brain at Work. Oxford University Press, Oxford (2008)

    Google Scholar 

  15. Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research & Applications (2000)

    Google Scholar 

  16. Voßkühler, A., et al.: OGAMA (Open Gaze and Mouse Analyzer): open-source software designed to analyze eye and mouse movements in slideshow study designs. Behav. Res. Methods 40(4), 1150–1162 (2008)

    Article  Google Scholar 

  17. Fink, B., Penton-Voak, I.: Evolutionary psychology of facial attractiveness. Curr. Dir. Psychol. Sci. 11(5), 154–158 (2002)

    Article  Google Scholar 

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Correspondence to Jan Watson .

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Watson, J., Ye, H., Zhang, J., Topoglu, Y., Suri, R., Ayaz, H. (2021). The Face of Bad Advertising: Assessing the Effects of Human Face Images in Advertisement Design Using Eye-Tracking. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_18

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  • DOI: https://doi.org/10.1007/978-3-030-80285-1_18

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