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Hype Cycle for Human-Computer Interaction, 2005
16 June 2005
 
Jackie Fenn   Alexander Linden   Steve Cramoysan   Toby Bell   Bern Elliot  

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


    
 Analysis

1.0
    
 The Hype Cycle
2.0
    
 On the Rise

2.1
    
 Computer-Brain Interface
2.2
    
 Gaze Tracking
2.3
    
 Gesture Recognition
2.4
    
 Emotion Detection
2.5
    
 Retinal Displays
2.6
    
 Speech-to-Speech Translation
2.7
    
 Chip Implants for Identification
2.8
    
 Truth Verification
2.9
    
 Augmented Reality
2.10
    
 Telepresence
2.11
    
 Wearable Computers
2.12
    
 Haptics
3.0
    
 At the Peak

3.1
    
 Speech Recognition for Mobile Devices
3.2
    
 Electronic Ink/Digital Paper
4.0
    
 Sliding Into the Trough

4.1
    
 Natural-Language Search
4.2
    
 Intelligent Agents
4.3
    
 Synthetic Characters/Chatterbots
4.4
    
 Virtual Reality
4.5
    
 Handwriting Capture
4.6
    
 Speech Recognition for the Desktop
5.0
    
 Climbing the Slope

5.1
    
 Handwriting Recognition
5.2
    
 Machine Translation
5.3
    
 Speech Recognition for Telephony and Call Center
6.0
    
 Entering the Plateau

6.1
    
 Text-to-Speech/Speech Synthesis
7.0
    
 Appendix A: Previous Iteration of the Hype Cycle
8.0
    
 Appendix B: Hype Cycle Phases, Benefit Ratings and Maturity Levels

    
 Recommended Reading


List of Tables


Table 1.  
 Hype Cycle Phases
 

Table 2.  
 Benefit Ratings
 

Table 3.  
 Maturity Levels
 

List of Figures


Figure 1. 
 Hype Cycle for Human-Computer Interaction, 2005
 

Figure 2. 
 Hype Cycle for Human-Computer Interaction, 2004
 



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




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Resource Id: 481880