Understanding Consumers’ Visual Attention in Mobile Advertisements: An Ambulatory Eye-Tracking Study with Machine Learning Techniques-Reference-Cited by-同舟云学术

Understanding Consumers’ Visual Attention in Mobile Advertisements: An Ambulatory Eye-Tracking Study with Machine Learning Techniques

Published:2023-11-03 Issue: Volume: Page:1-19
ISSN:0091-3367
Container-title:Journal of Advertising
language:en
Short-container-title:Journal of Advertising

Author:

Xie Wen¹^ORCID,Lee Mi Hyun²^ORCID,Chen Ming³^ORCID,Han Zhu¹^ORCID

Affiliation:

1. University of Houston, Houston, Texas, USA

2. Northwestern University, Evanston, Illinois, USA

3. University of North Carolina, Charlotte, Charlotte, North Carolina, USA

Funder

2021 Amazon Research Award

Publisher

Informa UK Limited

Subject

Marketing,Communication,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00913367.2023.2258388

Reference55 articles.

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3. To Fit In or to Stand out? An Eye-Tracking Study Investigating Online Banner Effectiveness in a Media Multitasking Context

4. Brône, G., B. Oben, and T. Goedemé. 2011. “Towards a More Effective Method for Analyzing Mobile Eye-tracking Data: Integrating Gaze Data with Object Recognition Algorithms.” Proceedings of the 1st International Workshop on Pervasive Eye Tracking & Mobile Eye-based Interaction, Beijing, China.

5. Callemein, T., K. V. Beeck, G. Brône, and T. Goedemé. 2018. “Automated Analysis of Eye-Tracker-Based Human-Human Interaction Studies.” International Conference on Information Science and Applications, Singapore.