Search and Filter

Repository Feedback

Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.

Submit feedback

Submit a research study

Contribute to the repository:

Add a paper

Uniform And Accelerated Circular Motion With A Smartphone: A No-Code, AI-Generated Browser Laboratory

Authors
Josep Ll. Suner,
Francisco M. Munoz-Perez,
Juan C. Castro-Palacio,
Juan A. Monsoriu,
Martin Monteiro,
Cecilia Stari,
Arturo C. Martí
Date
Publisher
arXiv
Smartphones have become a standard measurement instrument in the physics laboratory. Their built-in accelerometers, gyroscopes, magnetometers, and cameras have been used to investigate a wide range of phenomena in mechanics, and rotational motion in particular has proven especially well-suited to smartphone-based experiments. A recurring limitation, however, is that most experiments rely on precompiled sensor apps whose interfaces cannot be tailored to a specific activity, and until recently creating customized smartphone laboratories required programming knowledge beyond what most physics teachers possess. This paper makes two connected contributions. First, we present a validated smartphone experiment for uniform circular motion (UCM) and uniformly accelerated circular motion (UACM), in which the angular velocity and the angular acceleration are obtained from two independent smartphone channels and checked against independent video analysis with Tracker.10,14 Second, we show that generative AI can serve as a no-code development tool for the physics laboratory: the browser-based application used here was produced entirely through natural-language prompting, with no manual coding, extending to rotational motion the approach we recently introduced for acoustic experiments. The emphasis is therefore not only on what is measured, but also on how the measuring instrument itself was built.
Study at a glance
  • Question: Can generative AI be used to create custom smartphone physics laboratory tools without coding?
  • Setting and data: Not stated in the abstract
  • Method: Tool development and experimental validation comparing smartphone measurements to video analysis
Why it matters

Most smartphone physics experiments rely on precompiled sensor apps that cannot be tailored to specific activities. Until recently, creating customized smartphone laboratories required programming knowledge beyond what most physics teachers possess.

Key findings
  • In physics laboratories, generative AI can produce customized, browser-based experiment tools entirely from natural-language prompts without manual computer coding.
  • Smartphone sensors yielded validated measurements of circular motion and acceleration that matched independent video tracking data.
  • Conversational generative AI extended no-code science laboratory development from acoustics into rotational and accelerated motion studies.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

What is the application?
Who is the user?
Who age?
Why use AI?