interfaces: media and devices
DESCRIPTION
Interfaces: Media and Devices. CS 365 HCI Prof. Ahmed Sameh. Major Categories. Input Harder Output More successful history. Inputs - 1. Clickless Interface Example http://www.dontclick.it TTY Voice Gesture Haptic Phantom devices, etc Handwriting. Inputs - 2. Eye tracking - PowerPoint PPT PresentationTRANSCRIPT
PSUPSU
Interfaces: Media and DevicesInterfaces: Media and Devices
CS 365
HCI
Prof. Ahmed Sameh
CS 365
HCI
Prof. Ahmed Sameh
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 22slide slide 22Fall 2007Fall 2007
Major CategoriesMajor Categories
• Input - Harder
• Output- More successful history
• Input - Harder
• Output- More successful history
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 33slide slide 33Fall 2007Fall 2007
Inputs - 1Inputs - 1
• Clickless Interface Example- http://www.dontclick.it
• TTY• Voice• Gesture• Haptic
- Phantom devices, etc
• Handwriting
• Clickless Interface Example- http://www.dontclick.it
• TTY• Voice• Gesture• Haptic
- Phantom devices, etc
• Handwriting
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 44slide slide 44Fall 2007Fall 2007
Inputs - 2Inputs - 2
• Eye tracking• Body forces
- Live seat- Sides of back- Etc
• Structured light• Body sensors
- Animation
• Eye tracking• Body forces
- Live seat- Sides of back- Etc
• Structured light• Body sensors
- Animation
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 55slide slide 55Fall 2007Fall 2007
Inputs - 3Inputs - 3
• Widgets- Buttons, sliders, menus, toggles, etc
• User Recognition- Get your coffee the way you always get it!
• Machine Learning- Watch and learn- Windows menus: What is on top of menu?
• Widgets- Buttons, sliders, menus, toggles, etc
• User Recognition- Get your coffee the way you always get it!
• Machine Learning- Watch and learn- Windows menus: What is on top of menu?
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 66slide slide 66Fall 2007Fall 2007
Inputs - 4Inputs - 4
• Read CNS signals- Muscle signals- Lie detector
Skin conductivity
- Direct brain signal interface cyberkineticsinc.com ALS Spinal cord injury sufferers
• Read CNS signals- Muscle signals- Lie detector
Skin conductivity
- Direct brain signal interface cyberkineticsinc.com ALS Spinal cord injury sufferers
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 77slide slide 77Fall 2007Fall 2007
Outputs – 1 Outputs – 1
• Flat screen- Resolution, colors, refresh rate, …
• Stereopsis Techniques- Color filters: R/G, etc- Polarized glasses
• Sound- Synthetic effects- Speech
• Flat screen- Resolution, colors, refresh rate, …
• Stereopsis Techniques- Color filters: R/G, etc- Polarized glasses
• Sound- Synthetic effects- Speech
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 88slide slide 88Fall 2007Fall 2007
Outputs – 2 Outputs – 2
• Sound- Synthetic, unnatural sounds
Laser, “wrong,” “dive”
- Realistic: prerecorded DB generated
- Speech Synthetic Real, prerecorded
• Sound- Synthetic, unnatural sounds
Laser, “wrong,” “dive”
- Realistic: prerecorded DB generated
- Speech Synthetic Real, prerecorded
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 99slide slide 99Fall 2007Fall 2007
Outputs – 3 Outputs – 3
• VR Environments- 3D- Fantasy worlds- Overlays on realworld
Breast biopsy procedure Assembly or Maintenance Info HUDs in cockpit
Reduce cognitive overload
• VR Environments- 3D- Fantasy worlds- Overlays on realworld
Breast biopsy procedure Assembly or Maintenance Info HUDs in cockpit
Reduce cognitive overload
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 1010slide slide 1010Fall 2007Fall 2007
Outputs – 3 Outputs – 3
• VR Environments• Smell• Vibrations• Newtonian Physics: ON
- Exploit the known, natural experience Highly predictable Concise
- Provide normal physics of environment Inertia Collisions (no penetrations) Gravity Friction Noise
• VR Environments• Smell• Vibrations• Newtonian Physics: ON
- Exploit the known, natural experience Highly predictable Concise
- Provide normal physics of environment Inertia Collisions (no penetrations) Gravity Friction Noise
Student Name ServerStudent Name ServerUtah School of ComputingUtah School of Computing slide slide 1111slide slide 1111Fall 2007Fall 2007
Outputs – 4Outputs – 4
• Background sound- Movie score
Important Not natural
• Background sound- Movie score
Important Not natural
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Interfaces: Media and Devices Interfaces: Media and Devices