Book chapter
The Face of Bad Advertising: Assessing the Effects of Human Face Images in Advertisement Design Using Eye-Tracking
Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, 2021, pp.143-148
Lecture Notes in Networks and Systems, v. 259, Springer
2021
DOI: 10.1007/978-3-030-80285-1_18
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.
Details
- Title: Subtitle
- The Face of Bad Advertising: Assessing the Effects of Human Face Images in Advertisement Design Using Eye-Tracking
- Creators
- Jan Watson - Drexel UniversityHongjun Ye - Drexel UniversityJintao Zhang - Drexel UniversityYigit Topoglu - Drexel UniversityRajneesh Suri - Drexel UniversityHasan Ayaz - Drexel University
- Resource Type
- Book chapter
- Publication Details
- Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, 2021, pp.143-148
- Series
- Lecture Notes in Networks and Systems; v. 259
- DOI
- 10.1007/978-3-030-80285-1_18
- eISSN
- 2367-3389
- ISSN
- 2367-3370
- Publisher
- Springer; Cham
- Number of pages
- 6
- Language
- English
- Date published
- 2021
- Academic Unit
- Marketing
- Record Identifier
- 9984963149802771
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