Presentation
Can We Predict Shoe-Floor Friction by Analyzing Amazon Reviews With ChatGPT?
SessionHC8: AI in Healthcare
DescriptionCustomer reviews of slip resistant shoes have the potential to become an inexpensive and readily available resource for assessing the friction performance of slip resistant shoes. The purpose of this study is to assess whether narrative reviews analyzed with ChatGPT can predict friction performance of slip resistant shoes. Specifically, we investigated the correlation between a score developed form narrative reviews, the overall satisfaction ratings, and available coefficient of friction (ACOF). Twenty slip-resistant shoes were tested with a slip tester, and their reviews were categorized by generative artificial intelligence using a prompt that targeted friction performance. Results show a weak association between narrative score and ACOF, an association between narrative score and overall satisfaction, and an association between overall satisfaction and ACOF. In conclusion, our results suggest a moderate correlation between a person's overall satisfaction and objective slip resistance measures like ACOF.
Event Type
Lecture
TimeWednesday, September 11th11:35am - 11:55am MST
LocationGrand Ballroom
Health Care