Exploratorium_8.1.1
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Output
- to Directly Activate/Control user

Annotated Bibliography

Category
  • Visions of the Future
    • PAST Visions of the Future
  • Input
    • using Text
    • using Pointing Devices
    • using eyes
    • using Voice or Sign
    • using Machine Vision
    • using 1D Continuous Controls
    • using 2D to 6D Continuous Controls
    • using Gestures on a Surface (2D)
    • using Gestures in 3-space
    • Unique Combinations of Input Devices
    • Enhancing/Accelerating Input
  • Sensing (by device)
    • Biological
    • Mechanisms for Sensing
    • Environmental
    • Virtual sensors
    • Other
  • Output
    • to Visual sense
    • to Tactile or Pain sense
    • as Language (speech, text, sign-lang)
    • to Auditory sense
    • to Directly Activate/Control user
  • Altering/Enhancing Sensory Input
    • what is Seen
    • Translating Between Senses
  • Direct Brain Interfaces
    • Unique Combinations of DBI types
    • Mechanisms for Direct Brain Interfaces
    • DB Output, to Control or Project
    • DB Input - into Brain
    • Direct Brain Monitoring
  • Virtual & Augmented Reality (xR)
    • Mechanisms for AR/VR/xR
    • Uses of AR/VR/xR
  • Uses of AI
    • to Enhance Input
    • as Assistant (voice, text, etc.)
    • to Enhance/Adapt Output
    • to Enhance Sensing
    • Other uses of AI in interfaces
  • Accessibility + Digital Divide
    • Accessibility & HCI
    • Digital Divide - Digital Affinity
    • Digital Divide - Disability
  • Other
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COPY currently shown bibliography

Batzianoulis, I., Iwane, F., Wei, S. et al. Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials. Commun Biol 4, 1406 (2021). https://doi.org/10.1038/s42003-021-02891-8

  • Use of reinforcement learning to learn users' preferences and adapt robotic manipulators.

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