Dr Charlotte Kerner is a Senior Lecturer in Sport, Health and Exercise Sciences. Her research focuses on exploring relationships between body image, physical activity motivation and technology (e.g., social media, wearable technology etc.) in a range of populations, but with a focus on young people. Dr Kerner is specifically interested in how learning environments and technology can facilitate physical activity motivation and support the development of a positive body image. Her work focuses on adopting mixed-method approaches and applying social psychological theory to explore these issues.
We are seeking applicants for a self-funded PhD examining how artificial intelligence (AI) within digital fitness environments shapes body image and physical activity (PA) behaviours.
AI is increasingly embedded within social media and fitness platforms. On platforms such as TikTok and Instagram, generative AI tools are used to enhance or create idealised body imagery and content. Additionally, AI-powered fitness apps and chatbots (e.g. Chat GPT) can deliver exercise guidance, provide feedback, and motivational prompts. Despite rapid developments in generative AI, little is known about how this shapes individuals' self-perceptions, body image, and physical activity behaviours.
This project may adopt qualitative, quantitative, or mixed-method approaches and will be underpinned by theory in social psychology and/or exercise psychology.
Project focus
The specific focus of the PhD will be determined by the applicant, but may:
- Explore the impact of AI-generated or AI-enhanced fitness imagery and content on social media.
- Investigate how users interpret and relate to AI as a source of physical activity and exercise guidance/motivation.
- Consider how AI within digital fitness environments shapes body image and physical activity motivation.
Applicant profile
- Applicants should have a background in psychology, sport and exercise sciences, health psychology, public health, or a related field.
- Strong methodological skills (qualitative, quantitative or mixed methods)
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the "Apply here" button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
Good luck!
This is a self-funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.
