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Designing Technology for Personalised Nutrition

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

This PhD investigates the design of technology to provide personalised nutrition advice. Non-communicable diseases such as diabetes and cardiovascular disease are major challenges globally, and can be addressed, in part, by eating a healthier diet. Yet, we know that general diet advice such as the "5 a day" campaign in the UK is largely ineffective. There is also evidence that personalised nutrition advice – that is, advice that is *tailored* to the person – can be more effective in changing people’s diet. There is scope within this project for designing new human-computer interfaces for capturing a person’s diet, researching methods for automatically deriving appropriate food-based recommendations that are tailored for that person, and/or designing technologies that can support people to adopt healthier diets. The project is a collaboration with the Human Nutrition Unit at the University of Reading.

Funding Notes

Eligibility requirements:

Applicants should have a bachelors (at least 2.1 or equivalent) or masters degree in Computer Science, Engineering, Human Computer Interaction or a strongly-related discipline.

References

Zenun Franco, R., Alawadhi, B., Fallaize, R., Lovegrove, J. A. and Hwang, F. (2017)A web-based graphical food frequency assessment system: design, development and usability metrics. Journal of Medical Internet Research Human Factors, 4 (2).  10.2196/humanfactors.7287

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