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Life Cycle - Track Your Time App - App Store

Download Life Cycle - Track Your Time by Sleep Cycle AB on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Life Cycle - Track…

FitnessSyncer joins your health and fitness clouds into one Dashboard and Stream. Supporting over 50 health and fitness providers, including Strava, Fitbit, Garmin Connect, Samsung Health, Google Health Connect, RunKeeper, and more!

FitnessSyncer joins your health and fitness clouds into one Dashboard and Stream. Supporting over 50 health and fitness providers!

KFF Tracking Poll on Health Information and Trust: Use of AI For Health Information and Advice | KFF

This poll finds that about as many adults are turning to AI for health information as social media, with health care costs and access driving many users, particularly younger users.

Your Fit. Your Way. | A Mobile App That Makes Motivation Easier | Yes.Fit

The Global Leader in Virtual Races and Fitness Challenges. Interactive, motivating, and fun. Earn medals and other rewards. Get started for free.

Bee - Your new wearable personal AI

Bee is the personal wearable Ai that understands you.

KFF Tracking Poll on Health Information and Trust: Use of Social Media and AI For Health Information and Advice | KFF

This poll finds that about 3 in 10 adults turn to social media for health information and advice at least monthly. Community connection and the need for immediate answers are the top reasons why people are turning to these tools. Slim majorities of those who use social media for health are confident they can tell what is true, and relatively few take steps to check the information they receive.

Your medical provider might be recording your mental health care visits – The Markup

Mental health providers are increasingly using AI technology to record conversations, raising privacy concerns among patients and practitioners.

Data privacy concerns in AI companion apps - Surfshark

As AI grows, digital companions help with loneliness but raise questions about user data privacy. Many seek virtual relationships, but it's important to remember they are business-driven, not personal bonds.

FOSDEM 2025 - Human-Computer Counter-Choreographies

Human-Computer Counter-Choreographies is an artistic research project that combines critical design, choreography and embodied sense-making with data tracking. The project has evolved into various formats such as workshops, a live-coding performance piece, web-based tools and artworks. In this talk, Joana Chicau will introduce the motivations behind the project and how it has impacted audiences by raising awareness of data tracking. She will also demo a custom version of the open-source DuckDuckGo privacy extension which unveils online tracking algorithms through audio and visual feedback.

Alexander Obenauer

Exploring new and renewed ideas for how personal computing and the interfaces we think with can better serve people’s lives – expanding opportunity, agency, curiosity, and creativity.

User Behavior Tracking - Techniques, Tools & Best Practices

User behavior tracking is the process of collecting and analyzing data on how users interact with your app or website.

ActivityPods - Personal data spaces powered with ActivityPub

Brings together ActivityPub and Solid Pods and empowers developers to create truly decentralized applications.

bsky.app | WhoTracks.Me

Explore the tracking landscape of bsky.app on WhoTracks.Me, revealing the most common trackers like Sentry and their impact on privacy

Co-creation process of an app for people with rare diseases - a citizen science approach

Background Rare diseases affect a small percentage of the population, leading to challenges such as delayed diagnoses and limited treatment options. Mobile health technologies offer solutions to improve patient outcomes, yet their application in rare diseases remains underexplored. The German citizen science project SelEe created a customizable app for the self-management of rare diseases through a co-creation process that involved patients with such conditions. Methods The project consisted of three phases. In Phase 1, 9 to 68 patients or relatives of patients participated in workshops to define research topics and app requirements. Phase 2 involved a core research team of nine patients and researchers who iteratively developed the app, released in March 2023. Phase 3 focused on evaluating the app’s usage and usability through an in-app survey conducted from March 2023 to February 2024. We utilized descriptive statistics to evaluate app usage and employed the mHealth App Usability Questionnaire to assess usability. Results The SelEe app offers the possibility to create and store data in a personalized health diary. Patients can create their own templates or use templates which were defined by the core research team. Users can record findings (e.g. blood test results) and export data using different graphs and formats. Furthermore, the app supports blind users. The app was downloaded 3040 times and 1456 users registered, with 1967 unique diseases entered. 50.7% of the diseases were rare, 30.5% non-rare, and 18.8% were classified as suspected, undefined, or symptoms. A total of 1223 valid user profiles were analyzed for app usage and demographics. Furthermore, 432 users qualified for the in-app survey by making at least one health diary entry, and 117 participated. The app was rated with an overall usability score of 5.19 out of 7. While the app’s health diary function was frequently used, other functionalities like findings and data export were less utilized. Feedback highlighted the need for improved usability and additional features. Conclusions The study highlights active patient engagement in developing a mobile health app for individuals with rare diseases. Although improvements are necessary for broader acceptance, the app is promising for the management of rare diseases. Supplementary information The online version contains supplementary material available at 10.1186/s13023-025-04140-1.