Zhiyuan Zhu1 and Garret Washburn2, 1USA, 2California State Polytechnic University, USA
The temptation to lose oneself in the digital world is more prevalent now in the present state of the internet than ever before. Many internet users often fall into this temptation, voiding their efforts to get any productive work done that they may need to utilize their internet browser. To solve this problem, this paper proposes the ScreenTimeSage Chrome Extension available on the Chrome Web Store [12]. The ScreenTimeSage Chrome Extension seeks to remedy this issue of internet users getting off task but utilizing AI to analyze their specific browsing behavior and analyzing where and how they tend to get off task. Once the extension has analyzed how the user gets off task, it is able to provide customized support and advice on how to help the user stay focused. This extension relies on the Gemini LLM API, as it utilizes prompt engineering and Chrome storage to keep an active record of the user’s browsing habits, and classifying how productive the user is on each web page [13]. This extension has been tested for its content classification as well as its back-end server reliability, which is available in this paper. Both experiments are demonstrations of good results from the extension. The ScreenTimeSage Chrome Extension is ultimately a great option for those seeking a way to combat their inclination to get distracted while using their browser, as it provides customized insights on how they individually get distracted and how they can combat this for themselves.
Productivity, AI-driven browsing analysis, Distraction, Chrome extension
