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The majority of the public is not aware that common objects in their backyard can be mosquito breeding sites, thus leading to an increase in mosquitoes and mosquito-borne diseases affecting humans and animals during the peak seasons. An engaging app that instructs people of all ages how to identify, prevent,

The majority of the public is not aware that common objects in their backyard can be mosquito breeding sites, thus leading to an increase in mosquitoes and mosquito-borne diseases affecting humans and animals during the peak seasons. An engaging app that instructs people of all ages how to identify, prevent, and eliminate breeding sites may be of use in increasing positive behavioral changes in people, and therefore reducing available breeding sites for mosquitoes. The Embodied Games Lab in Psychology at Arizona State University created an educational game phone app using machine learning to teach students how to identify and eliminate mosquito breeding sites. Skeeter Breeder is an interactive, educational game that teaches participants about potential mosquito breeding sites and how to eliminate them from the immediate environment as documented by smartphone imagery. Currently, there is no educational game phone app that uses machine learning to teach this topic. This Thesis describes a pilot study focused on educating about common mosquito breeding sites and increasing the knowledge of 5th graders on the topic through an agentic (by taking their own pictures), engaging (game-like platform with rewards), and interactive (receiving immediate feedback on pictures) game developed from scratch at ASU.

ContributorsBharti, Aarushi (Author) / Johnson-Glenberg, Mina (Thesis director) / Huijben, Silvie (Committee member) / Barrett, The Honors College (Contributor) / Tech Entrepreneurship & Mgmt (Contributor) / Computing and Informatics Program (Contributor)
Created2023-05