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Moodset

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Moodset: Uniting Music and Emotion for Better Mood Management

New AI ToolsFreeFree tier
#mood tracking#emotion management#self-awareness#music integration#mood map#circumplex model of affect#automatic music mood detection#personalized playlist#emotional history#data security#iOS expansion
Type
Saas
Company
Moodset
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About Moodset

Moodset is a mental well-being companion that helps users understand their mood through a two-dimensional model of emotional state assessment. It automatically tracks music listening habits to provide additional insights into emotional well-being. The app allows users to record their emotions by placing a dot on a mood map based on valence and arousal values, and add personal notes. It also detects the mood of the music being listened to. Moodset offers a mood history screen with charts and lists to explore emotional journeys over time. It empowers users to shape their emotions with mood-based playlists, suggesting songs that align with their current state of mind. Moodset prioritizes user privacy and data security with on-device protection, server security, and encrypted connections. Users have control to delete their account and data. Seamless data synchronization allows access on multiple devices.

How to Use

Use Moodset to track your mood by placing a dot on the mood map, add notes, and let the app automatically detect the mood of your music. Explore your mood history through charts and lists, and create mood-based playlists to shape your emotions.

Key Features

  • Mood tracking using a two-dimensional model (valence and arousal)
  • Automatic music mood detection
  • Mood history visualization (charts and lists)
  • Mood-based playlist creation
  • Data synchronization across devices
  • Privacy and data security measures

Use Cases

  • Understanding emotional patterns and triggers
  • Improving mental well-being through music
  • Creating personalized playlists to manage mood
  • Tracking mood changes over time
  • Identifying correlations between music and mood

Key Features

Visual Mood Map employs the circumplex model of affect for nuanced emotional understanding.
Detailed Mood Logging with optional notes for personalized records.
Mood History Tracking via visual charts to identify emotional patterns.
Music Mood Detection analyzes music to enhance mood-music connection.
Mood-Based Playlists generate playlists to match or alter moods.
Data Synchronization for secure backup and sync across devices.
Privacy and Security with end-to-end encryption for data management.
Reminders send notifications to encourage constant mood tracking.

Pros & Cons

Pros
  • Scientifically grounded two-dimensional mood model for precise and nuanced mood logging
  • Integrates music listening data automatically for additional emotional insights
  • Allows adding contextual notes to understand why mood changes
  • Mood-based playlist generation helps regulate emotions through music
  • Real-time sync across devices for seamless access
  • Strong emphasis on privacy and data security
  • Intuitive interface with multiple views (chart, list, mood map) and flexible time ranges
Cons
  • Currently only available on Android (iOS version is planned but not yet released)
  • Free version may have limited features (premium subscription available for additional features)

Best For

Individuals seeking self-reflection: Use Moodset for personal self-reflection to better understand emotional patterns.Productive people: Identify optimal moods for different activities to enhance productivity.Mental health professionals: Offer it as a tool for mental health initiatives by sharing mood data.Music therapists: Employ its music therapy potential to regulate emotions through curated playlists.Privacy-conscious users: Trust in Moodset's secure data handling for tracking emotional data.Android users: Utilize the app's functions currently available for Android users.iOS users: Anticipate future availability and features for iOS devices.Tech enthusiasts: Explore the innovative integration of music in mood tracking.Emotionally curious people: Use the circumplex model to gain deeper emotional insights.Healthcare providers: Support patients with data-driven mood management tools.

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