Item logo image for HabitLab

HabitLab

habitlab.stanford.edu
4.3(

31 ratings

)
ExtensionEducation5,000 users
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Overview

Build better habits online! Tell HabitLab your goals, and it will determine the appropriate interventions via experimentation.

HabitLab is an open-source research project from Stanford on helping users reduce their time online. It includes various tools like news feed blockers, comment hiders, and more. HabitLab will try out different tools and figure out what is most effective for you. Data on effectiveness will be recorded for research purposes. HOW IT WORKS Tell HabitLab which sites you want to spend less time on. We support all sites, including popular sites like Facebook, Youtube, Reddit, Buzzfeed, Netflix. Each time you visit a site, we will intelligently choose an intervention (which use techniques such as hiding your news feed, hiding comments, pausing videos, showing notifications if you've been on a site too long, and more) to help you reduce your time on the site. If you don’t like an intervention, you can choose to disable it. HabitLab learns which interventions work best for you based on your browsing history and their past effectiveness, and uses this to more effectively help you reduce your time online. ABOUT HabitLab is an open-source project developed by the Stanford HCI Group. You can find source code at https://github.com/habitlab/habitlab PERMISSIONS Chrome will ask you for the following permissions when you install. Here’s how we use them: * tabs: We use this for showing productivity interventions such as showing timers, removing feeds, pausing video auto-play, etc (by using content scripts to modify sites) and monitoring time spent on sites (by detecting when tabs are opened and closed) * webNavigation: We use this for detecting page navigations within a tab - such as clicking on a new video in Youtube - so we know when the productivity intervention needs to be updated * storage: We use this for storing logs of how long the user has spent on each site and how effective interventions have been for the user. This is used for: 1) visualizing intervention effectiveness to users in the productivity dashboard, and 2) personalizing interventions to users by selecting those that have been most effective for that user * history: We use the browsing history to determine what the user's most frequently sites are at the time of install, so we can show those to them as sites they want to set as goals to reduce time on. Is also used to show users how much time they are saving compared to before installing HabitLab. * idle: We use this for determining when the user is idle, so we don't count that time in our time tracker. notifications: We use notifications such as "You already spent 10 minutes on Facebook today" as a type of productivity intervention to help reduce users' time on sites they set as their goal sites. * http://*/ and https://*/: Our productivity interventions (such as showing timers, removing feeds, pausing video auto-play, etc) are shown on all sites, so we need the 'http://*/' and 'https://*/' permissions. PRIVACY POLICY HabitLab sends us anonymized data about the effects of interventions on your browsing. You can opt-out of sharing data when you set up HabitLab, or later. See https://github.com/habitlab/habitlab/wiki/Privacy for our privacy policy.

4.3 out of 531 ratings

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Details

  • Version
    1.0.277
  • Updated
    April 24, 2021
  • Size
    5.49MiB
  • Languages
    5 languages
  • Developer
    Stanford HCI Research Group
    353 Serra Mall Stanford, CA 94305 United States
    Website
    Email
    geza@cs.stanford.edu
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

HabitLab has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

HabitLab handles the following:

Web history

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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