Effect of Online Weight Loss Advertising in Young Women with Body Dissatisfaction: An Experimental Protocol Using Eye-Tracking and Facial Electromyography

Carlos A. Almenara, Annie Aimé, Christophe Maïano

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

The weight loss industry is projected to reach USD$ 278.95 billion worldwide by 2023. Weight loss companies devote a large part of their budget for advertising their products. Unfortunately, as revealed by the Federal Trade Commission (FTC), there are many deceptive ads. The effect of weight loss advertising on consumer’s diet and eating behavior is so large that it has been proposed a causal relationship between advertising and diet. Adolescents, women with appearance concerns, and obese people, are the most vulnerable consumers for this kind of advertising. Within the Internet, most weight loss products are advertised under algorithmic rules. This algorithmic regulation refers to the online advertising being established by a series of rules (i.e., algorithms). These algorithms collect information about our online identity and behavior (e.g., sociodemographic characteristics, online searches we do, online content we download, “liked” content, etc.), to personalize the content displayed while we browse the Internet. Because of it, this algorithmic regulation has been described as a “filter bubble”, because most content we see on the Internet is reflecting our idiosyncratic interests, desires, and needs. Following this paradigm, this study presents a research protocol to experimentally examine the effect of online weight loss advertising in the attention (using eye-tracking) and physiological response (using facial electromyography) of women with different levels of body dissatisfaction. The protocol describes the methodology for: participants’ recruitment; collecting weight loss ads; and the experimental study, which includes the stimuli (ads) and the responses (eye fixations and facial muscles activity).

Idioma originalInglés
Título de la publicación alojadaHCI International 2020 - Posters - 22nd International Conference, HCII 2020, Proceedings
EditoresConstantine Stephanidis, Margherita Antona
EditorialSpringer
Páginas139-148
Número de páginas10
ISBN (versión impresa)9783030507312
DOI
EstadoPublicada - 2020
Evento22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Dinamarca
Duración: 19 jul. 202024 jul. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1226 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia22nd International Conference on Human-Computer Interaction, HCII 2020
País/TerritorioDinamarca
CiudadCopenhagen
Período19/07/2024/07/20

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