The Impact of an Artificial Intelligence Chatbot on Brazilian Adolescents' Body Image

Summary

High prevalence of body and eating concerns in Brazilian populations is well-documented, with risk observed across the lifespan. Prevalence rates of body dissatisfaction range between 26.6 - 56% and 10.7- 36% for adolescent girls and boys, respectively (1, 2, 3). The prevalence of these disordered attitudes and behaviours are mirrored in older populations, and have shown to manifest within family units (6). Further, Brazilian consumer trends reflect these attitudes and behaviours, with it being the leading country in diet pill consumption and aesthetic surgeries, and second in the world for total aesthetic procedures (i.e., surgical and non-surgical), with 2.27 million procedures conducted annually (8).

Despite the scope of body and eating concerns, few evidence-based interventions have been developed and tested for Brazilian populations and even fewer are accessible, scalable or cost-effective. Harnessing technology to deliver evidence-based care is a key focus for researchers. Micro-interventions (brief, low intensity, self-administered interventions), offer an alternative to traditional, intense interventions that may be unsuitable for milder concerns. Body image micro-interventions have proven effective at providing immediate and short-term improvements in body image among women (9). To date, body image micro-interventions have been developed and evaluated among high-income, White, English-speaking samples, with little research exploring how this intervention model may cater to other cultures and countries.

The aim of the present study is to conduct a randomised controlled trial (RCT) to evaluate the immediate and short-term impact of a chatbot on Brazilian adolescents' body image, affect and body image self-efficacy. Primary outcomes include immediate and short-term changes in state- and trait-based body image, respectively. Secondary outcomes include immediate changes in state-based affect and short-term changes in trait affect and body image self-efficacy.

The chatbot intervention is designed to target sociocultural risk and protective factors for body image using eight, brief therapeutic techniques derived from several evidence-based theories, including media literacy, cognitive behaviour theory and positive body image. The chatbot was developed through a collaboration between Dove (Unilever), United Nations Children's Fund (UNICEF), The Centre for Appearance Research, and Talk 2 U.

The comparison control condition will be assessment only. This is informed by a care as usual framework; whereby, Brazilian adolescents are not currently offered body image prevention or intervention resources at school or within the community.

To undertake this project, 2800 adolescent girls and boys will be recruited through an external research agency. Participants will be randomised to either the chatbot or assessment only conditions. Those in the intervention condition, will be encouraged to engage with the chatbot over a 72-hour period, where they will be assessed on state-body satisfaction and affect immediately before and after completing an intervention technique. All participants will be assessed on trait body image, affect and body image self-efficacy at baseline, post-intervention (72-hours) and at one-week and one-month follow-ups. At completion of the one-month follow-up, all participants will receive a debrief form, outlining the study aims and objectives, and additional resources for body and eating concerns. Those in the assessment only condition will be invited to engage with the chatbot; however, their engagement will not be monitored or assessed. Lastly, to compensate participants for their time, they will receive an electronic voucher to the value of approx. US$25 and US$21, for the intervention and control condition, respectively.

Conditions

• Body Image

Interventions

BEHAVIORAL

Body image chatbot

See arm/group description.

Sponsors & Collaborators

• Unilever R&D

  collaborator INDUSTRY

• UNICEF

  collaborator OTHER

• Talk 2 U

  collaborator UNKNOWN

• Instituto Federal Sudeste de Minas Gerais

  collaborator OTHER

• Deakin University

  collaborator OTHER

• University of the West of England

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

13 Years

Max Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2021-04-06

Primary Completion

2021-08-08

Completion

2021-08-08

Countries

• Brazil

Study Locations