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Hype Cycle for Human-Computer Interaction, 2004
7 June 2004
 
Jackie Fenn   Alexander Linden   Steve Cramoysan  

Human-computer interaction technologies typically are slow to mature and gain widespread adoption. Deployment should focus on specific applications with quantifiable value, such as speech recognition in the call center.







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Table of Contents


1.0
    
 Hype Cycle for Human-Computer Interaction, 2004

2.0
    
 On the Rise

2.1
    
 Unconstrained Natural-Language Speech Recognition
2.2
    
 Computer-Brain Interface/Thought Recognition
2.3
    
 Chip Implants for Identification
2.4
    
 Gaze Tracking
2.5
    
 Gesture Recognition
2.6
    
 Truth Verification
2.7
    
 Emotion Detection/Affective Computing
2.8
    
 Retinal Displays
2.9
    
 Speech-to-Speech Translation
2.10
    
 Augmented Reality
2.11
    
 Haptics
2.12
    
 Wearable Computers

3.0
    
 At the Peak

3.1
    
 Electronic Ink/Digital Paper
3.2
    
 Speech Recognition for Mobile Devices

4.0
    
 Sliding Into the Trough

4.1
    
 Natural-Language Search
4.2
    
 Intelligent Agents
4.3
    
 Speech Recognition for the Desktop
4.4
    
 Synthetic Characters/Chatterbots
4.5
    
 Virtual Reality

5.0
    
 Climbing the Slope

5.1
    
 Handwriting Recognition
5.2
    
 Machine Translation

6.0
    
 Entering the Plateau

6.1
    
 Speech Recognition for Telephony and Call Center
6.2
    
 Text-to-Speech/Speech Synthesis

7.0
    
 Off the Hype Cycle

7.1
    
 3-D Web

8.0
    
 Conclusions

Appendix A.
    
 Hype Cycle for Human-Computer Interaction, 2003

Appendix B.
    
 Hype Cycle Phase Definitions

Appendix C.
    
 Benefit Rating and Maturity Level Definitions

Appendix D.
    
 Acronym Key


List of Figures


Figure 1. 
 Hype Cycle for Human-Computer Interaction, 2004
 

Figure 2. 
 Hype Cycle for Human-Computer Interaction, 2003
 

Figure 3. 
 Benefit Ratings
 

Figure 4. 
 Maturity Levels
 



Browse Topics:
 
Wearable Computers
Emerging Technology Management
Desktop Speech Recognition
Biometrics
Emerging Technologies
Natural Language Processing
Telephony Speech Recognition




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Resource Id: 450050