Tracking users' visual attention and responses to personalized advertising based on task cognitive demand
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Personalized ads can positively influence attention, attitudes, purchases, and click-through rates.
“academic research shows that personalized ads can positively influence attention, attitudes, purchases, and click-through rates (e.g., Aguirre, Mahr, Grewal, Ruyter, & Wetzels, 2015;Bang and Wojdynski 2016;Bartsch and Kloβ 2019;Lambrecht and Tucker 2013;Matz, Kosinski, Nave, & Stillwell, 2017).”
From When is personalized advertising crossing personal boundaries? How type of information, data sharing, and personalized pricing influence consumer perceptions of personalized advertising (2021) · cites this paper as Bang and Wojdynski 2016
Ad relevance increases the potential to capture users' attention and produce desired conversions.
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [71]
Cites
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048 · see citing works
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868 · see citing works
Kalyanaraman, S., & Sundar, S. S. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00006.x · Cited by 475 · see citing works
Getting Too Personal: Reactance to Highly Personalized Email Solicitations
White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008) · Marketing Letters · doi:10.1007/s11002-007-9027-9 · Cited by 365 · see citing works
Flagged first, then by citations
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Online behavioral advertising: A literature review and research agenda
Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1339368 · Cited by 607 · see citing works
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595 · see citing works
Boerman, S. C., Kruikemeier, S., & Bol, N. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100144 · Cited by 80 · see citing works
“On the one hand, marketers see strong results from ad personalization and continue to invest in it (Evergage 2019), and academic research shows that personalized ads can positively influence attention, attitudes, purchases, and click-through rates (e.g., Aguirre, Mahr, Grewal, Ruyter, & Wetzels, 2015; Bang and Wojdyns…”
BackgroundMcKee, K. M., Dahl, A. J., & Peltier, J. W. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2199 · Cited by 75 · see citing works
Khan, A., Rezaei, S., & Valaei, N. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.102976 · Cited by 69 · see citing works
Semeradova, T., & Weinlich, P. (2019) · IEEE Access · doi:10.1109/access.2019.2948401 · Cited by 39 · see citing works
“As mentioned by Bang and Wojdynski [71], personalized ads are”
BackgroundInfluential
- Authors
- Bang, H., & Wojdynski, B. W.
- Affiliations
- University of Georgia (US)
- Corresponding author
- Bang, Hyejin
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 55
- Pages
- 867-876
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2177961586
- Cited by
- 174
- References
- 4
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 13 · 2023: 22 · 2022: 25 · 2021: 22 · 2020: 21 · 2019: 18 · 2018: 7 · 2017: 13 · 2016: 4 · 2015: 1
- FWCI
- 27.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- personalized advertising, banner advertising, visual attention, cognitive load, eye tracking, consumer attitudes toward advertising
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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