Literature

The Scientific Diet Selector is based on solid academic research, which adds to its credibility: it actually works.

More specifically, we collect insights from a large sample of people, to match people with diets that most people find suitable for them, based on a set of criteria. Theoretically, this relies fully on the concept of the wisdom of the crowd.

The whole process leads to the plugin offer decision support from people just like your visitors: information people can trust. This means the visitors will also trust your site. You are the one offering this. Make it yours: you are permitted to build the story around why you are offering the plugin.

The principles behind the plugin have been published in prestigious venues such as The British Human-Computer Interaction Conference [1], the ACM Human Factors in Computing Systems conference (top venue of its field) [2], and IEEE Computer [3].

  1. Hosio S, Goncalves J, Anagnostopoulos T & Kostakos V (2016) Leveraging Wisdom of the Crowd for Decision Support, In Proc. British Human Computer Interaction Conference (HCI)
  2. van Berkel N, Hosio S, Goncalves J, Kostakos V (2018) Informed Diet Selection: Increasing Food Literacy through Crowdsourcing, In ACM SIGCHI Conference on Human Factors in Computing Systems 2018 Extended Abstracts (CHI 2018 EA), International Workshop on Designing Recipes for Digital Food Futures
  3. Hosio S, van Berkel N, Oppenlaender J & Goncalves J (2019) Crowdsourcing Personalized Weight Loss Diets, IEEE Computer, to appear.