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Creating personas for exposome research: the experience from the HEAP project.

Heather CoombsTracy WoottonJoakim DillnerHeimo MüllerAnouk BergerZisis Kozlakidis
Published in: Open research Europe (2023)
The exposome is a complex scientific field that has enjoyed consistent growth over the last two decades, defined as the composite of every exposure to which an individual is subjected from conception to death. The study of the exposome requires consideration of both the nature of those exposures and their changes over time, and as such necessitates high quality data and software solutions. As the exposome is both a broad and a recent concept, it is challenging to define or to introduce in a structured way. Thus, an approach to assist with clear definitions and a structured framework is needed for the wider scientific and public communication. Results: A set of 14 personas were developed through three focus groups and a series of 14 semi-structured interviews. The focus groups defined the broad themes specific to exposome research, while the sub-themes emerged to saturation via the interviews process. Personas are imaginary individuals that represent segments/groups of real people within a population. Within the context of the HEAP project, the created personas represented both exposome data generators and users. Conclusion: Personas have been implemented successfully in computer science, improving the understanding of human-computer interaction. The creation of personas specific to exposome research adds a useful tool supporting education and outreach activities for a complex scientific field.
Keyphrases
  • quality improvement
  • electronic health record
  • deep learning
  • mental health
  • emergency department
  • machine learning
  • air pollution
  • data analysis
  • artificial intelligence