Examining Visual Attention to Tobacco Marketing Materials Among Young Adult Smokers: Protocol for a Remote Webcam-Based Eye-Tracking Experiment.
Examining Visual Attention to Tobacco Marketing Materials Among Young Adult Smokers: Protocol for a Remote Webcam-Based Eye-Tracking Experiment.
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DOI：
10.2196/43512
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发表时间：
2023-04-13
影响因子：
1.7
通讯作者：
Wackowski, Olivia A.
中科院分区：
文献类型：
--
作者：
Chen-Sankey, Julia;Elhabashy, Maryam;Gratale, Stefanie;Geller, Jason;Mercincavage, Melissa;Strasser, Andrew A.;Delnevo, Cristine D.;Jeong, Michelle;Wackowski, Olivia A.
眼动追踪提供了一种测量注意力的客观方法，可以促进研究人员和政策制定者对烟草营销影响的理解。基于远程网络摄像头的眼动跟踪技术的开发，结合基于网络的众包研究，可能是基于实验室的眼动跟踪方法的一种具有成本效益和时间效益的替代方法。然而，需要研究来评估远程眼动跟踪方法的实用性。本研究的目的是详细设计一个远程网络摄像头为基础的眼动追踪实验的过程，并提供数据的参与者特征和实验完成的结果之间的关联。在美国，共有2023名年轻的成年人（年龄在18-34岁之间）吸烟者被招募来完成一项基于网络的调查，其中包括一项90秒的远程眼动跟踪实验，该实验检查了对电子烟营销材料的注意力。主要结果指标评估了远程眼动追踪实验的完成情况，具体而言，实验启动与未启动，实验完成与未完成，以及生成的可用与不可用眼动追踪数据。多变量logistic回归分析了结果指标与参与者的社会人口学背景、烟草使用史和实验期间使用的电子设备（移动的与台式机）之间的关联。研究招募开始于2022年4月14日，结束于2022年5月3日。在2023名调查参与者中，1887人（93.28%）发起了实验，777人（38.41%）完成了实验。在完成实验的777名参与者中，381人（49%）生成了可用数据。全回归模型的结果显示，非西班牙裔黑人参与者（调整后的比值比[AOR] 0.64，95% CI 0.45-0.91）完成眼动追踪实验的可能性低于非西班牙裔白色参与者。此外，女性（vs男性）参与者（AOR 1.46，95% CI 1.01-2.11）、目前使用（vs不使用）电子烟的参与者（AOR 2.08，95% CI 1.13-3.82）和使用移动的（vs桌面）设备的参与者（AOR 5.10，95% CI 3.05-8.52）更有可能生成可用的眼动追踪数据。年轻的成年参与者愿意尝试远程眼动追踪技术，完成实验的人中有近一半生成了可用的眼动追踪数据（381/777，49%）。因此，我们认为，使用远程眼动追踪工具，结合众包招募，可以成为烟草监管科学研究界及时收集高质量、大规模眼动追踪数据的有用方法，从而解决与不断发展的烟草营销格局相关的研究问题。研究提高完成率和数据可用性的技术将是有益的。RR1-10.2196/43512
Eye tracking provides an objective way to measure attention, which can advance researchers’ and policy makers’ understanding of tobacco marketing influences. The development of remote webcam-based eye-tracking technology, integrated with web-based crowdsourcing studies, may be a cost-effective and time-efficient alternative to laboratory-based eye-tracking methods. However, research is needed to evaluate the utility of remote eye-tracking methods. This study aimed to detail the process of designing a remote webcam-based eye-tracking experiment and provide data on associations between participant characteristics and the outcomes of experiment completion. A total of 2023 young adult (aged 18-34 years) cigarette smokers in the United States were recruited to complete a web-based survey that included a 90-second remote eye-tracking experiment that examined attention to e-cigarette marketing materials. Primary outcome measures assessed the completion of the remote eye-tracking experiment—specifically, experiment initiated versus not initiated, experiment completed versus not completed, and usable versus nonusable eye-tracking data generated. Multivariable logistic regressions examined the associations between outcome measures and participants’ sociodemographic backgrounds, tobacco use history, and electronic devices (mobile vs desktop) used during the experiment. Study recruitment began on April 14, 2022, and ended on May 3, 2022. Of the 2023 survey participants, 1887 (93.28%) initiated the experiment, and 777 (38.41%) completed the experiment. Of the 777 participants who completed the experiment, 381 (49%) generated usable data. Results from the full regression models show that non-Hispanic Black participants (adjusted odds ratio [AOR] 0.64, 95% CI 0.45-0.91) were less likely to complete the eye-tracking experiment than non-Hispanic White participants. In addition, female (vs male) participants (AOR 1.46, 95% CI 1.01-2.11), those currently using (vs not using) e-cigarettes (AOR 2.08, 95% CI 1.13-3.82), and those who used mobile (vs desktop) devices (AOR 5.10, 95% CI 3.05-8.52) were more likely to generate usable eye-tracking data. Young adult participants were willing to try remote eye-tracking technology, and nearly half of those who completed the experiment generated usable eye-tracking data (381/777, 49%). Thus, we believe that the use of remote eye-tracking tools, integrated with crowdsourcing recruitment, can be a useful approach for the tobacco regulatory science research community to collect high-quality, large-scale eye-tracking data in a timely fashion and thereby address research questions related to the ever-evolving tobacco marketing landscape. It would be useful to investigate techniques to enhance completion rates and data usability. RR1-10.2196/43512
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影响因子：
2.1
作者：
Valsecchi, Matteo;Codispoti, Maurizio
通讯作者：
Codispoti, Maurizio
影响因子：
4.2
作者：
Lochbuehler K;Tang KZ;Souprountchouk V;Campetti D;Cappella JN;Kozlowski LT;Strasser AA
通讯作者：
Strasser AA
影响因子：
5.4
作者：
Semmelmann, Kilian;Weigelt, Sarah
通讯作者：
Weigelt, Sarah
影响因子：
4.4
作者：
Keller-Hamilton B;Fioritto M;Klein EG;Brinkman MC;Pennell ML;Nini P;Patterson JG;Ferketich AK
通讯作者：
Ferketich AK
影响因子：
7.4
作者：
Allem JP;Dormanesh A;Majmundar A;Rivera V;Chu M;Unger JB;Cruz TB
通讯作者：
Cruz TB