{"id":322,"date":"2026-01-31T23:54:52","date_gmt":"2026-01-31T23:54:52","guid":{"rendered":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/?p=322"},"modified":"2026-05-06T20:07:10","modified_gmt":"2026-05-06T20:07:10","slug":"time-management","status":"publish","type":"post","link":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/2026\/01\/31\/time-management\/","title":{"rendered":"EverFit – Motivation to Exercise"},"content":{"rendered":"\n
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EverFit – Motivation to Exercise<\/h2>\n\n

Often times people will say they\u2019re going to go to the gym or get more exercise only to give up in a few months. Motivation is a key factor in exercise, but people often struggle with a lack of motivation. <\/p><\/div>\n\n\n

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Research<\/h2>\n\n\n\n

Consistent exercise is fueled by motivation. However, a large portion of people struggle with motivation: less than 50% of adults in the U.S. are considered regularly physically active. Apps have tried to promote or sustain motivation through goal tracking and notifications, but their users still burn out. The sooner adults start to work out consistently the higher the chance they continue later in life.<\/p>\n\n\n\n

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Problem<\/h3>\n\n\n\n

How might we provide feedback and reminders to keep users motivated and consistent in their physical activity goals?<\/p>\n<\/div>\n\n\n\n

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Solution<\/h3>\n\n\n\n

An application that utilizes AI to support consistency in physical activity and enable the user to fulfill their personal goals.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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View Design Framing Worksheet<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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1. Empathize<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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During this stage we wanted to better understand our potential users by knowing their goals, needs, and challenges. Individually we interviewed 3 people each for a total of 9, looking at college students that exercise consistently and those that don’t. We recorded our interviews, so that we had a transcript to refer to. <\/p>\n\n\n\n

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Empathy Maps<\/h3>\n<\/div>\n\n\n\n

We analyzed the interview transcripts with ChatGPT, ensuring that we engineered a suitable prompt. It responded with participants\u2019 individual quotes, organizing them into thinks, says, feels, and does. We verified the information and created empathy maps. View all Empathy Maps.<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

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Thematic analysis<\/h3>\n\n\n\n

We then engineered a prompt for ChatGPT to conduct a thematic analysis. We refine its parameters and developed central themes.<\/p>\n\n\n\n