Mobile Device User Interface Innovation

As the vision of Internet of Things starts to take hold, how do people engage and interact with the plethora of new connected devices? Will each thing have its own interface or will it rely on some common, external method such as a mobile device or a wall-mounted display?

This study examines current user interfaces for computing systems and mobile devices, analyzes new functionality available for interface development, and predicts the impact of mobile device innovation on adjacent and emerging market applications.

  • 1. A PLETHORA OF USER INTERFACES CAUSING MOBILE DEVICE COMPLEXITY
    • 1.1. Executive Summary
    • 1.2. Key Findings
  • 2. MORE UIS THAN USE CASES
    • 2.1. UI Navigation and Information Architecture
    • 2.2. Types of UI
      • 2.2.1. Graphical UI
      • 2.2.2. Home Screens
      • 2.2.3. Sensors and Perceptual Computing
      • 2.2.4. Voice and Natural Language
      • 2.2.5. Eye Tracking
      • 2.2.6. Gestures and Proximity
      • 2.2.7. Sensor Integration
      • 2.2.8. GNSS/GPS
      • 2.2.9. Augmented Reality Applications
      • 2.2.10. Hybrid or Blended Interfaces
    • 2.3. UI Layers/Skins
    • 2.4. UI Tools for Health and Fitness Information
      • 2.4.1. Apple Health
      • 2.4.2. Google Fit
    • 2.5. Section Summary
  • 3. UI ADOPTION BY DEVICE FORM FACTOR
    • 3.1. UI Functionality by Device/System Form Factor
      • 3.1.1. Smartphones
      • 3.1.2. Tablets
      • 3.1.3. Wearables
    • 3.2. UI Vendor Ecosystem
    • 3.3. Section Summary

Tables

  1. UI Skin/Layer Vendors, World Market, Select Vendors by Type
  2. Smartphone Technology/Feature Attach Rate, World Market, Forecast: 2014 to 2019
  3. Tablet Technology/Feature Attach Rate, World Market, Forecast: 2014 to 2019
  4. UI Vendor Ecosystem, World Market, Select Vendors by Type

Figures

  1. Home Screen Example of CyanogenMod on Android
  2. Eye Tracking Technology Enables More Efficient User Experience, Predictive Input Example
  3. Infrared Proximity Sensor for Human Face Detection
  4. Apple Health App, Dashboard for Health and Fitness Data
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Research Information

Publish Date
3Q 2014
Code
AN-1667
Research Type
Technology Analysis Report
Pages
19