Human Information Processing Li Liu Human Computer Interaction
- Slides: 58
Human Information. Processing Li Liu
Human Computer Interaction ”Human Information Processing” How much information can she receive?
Case 1
Personal Area Network
Principle
Speech – Control Technology Name Dialing Hand Free
Speech Recognizer ”repeat”
Speech Signal Waveform
Effect of Background Noises
Performance Words Correct Rate (%) 100 0 -30 Speech-to-Noise Ratio (d. B) 0
Lip Tracker
Performance of Speech Recognition Words Correct Rate (%) 100 Auditory and visual cues Auditory cues only 0 -30 Speech-to-Noise Ratio (d. B) 0
How to Design A Headset? Tip ?
Mobile Phones
Braille Code for English
Tactile Display
Problem: Usable? Efficiency? Reliability?
Braille Code for English
How Many Letters Can be Represented?
Combination
Tactile Pins
Braille Code for English W=2. 4093 The average number of active tactile pins. Wopt=1. 2118 Letters in written English
New Code W=1. 2316
Information
Information Theory If all eight horses are equally good, then the chance for a horse to win the race is 1/8! What is the probability? The probability for a horse to win is Pi=1/8
Information Theory If a horse wins the game, how much information is it given? How to measure information?
Measure of information 1/8 1/8 • A source A={a 1, a 2…a. N} the probability of each event P={P 1, P 2…PN} • More information if Pi is low, less information is Pi is high 1/2 1/4 1/8 1/16 • I(ai)=log(1/Pi) is called self information
Entropy 1/8 1/8 1/2 1/4 1/8 1/16 Taking the mean value over all symbols with the alphabet
Communication Theory I H R source If R < H error-free representation impossible!
Coding 1/8 1/8 000 001 010 111 1/2 1/4 1/8 1/16 0 10 1110 111101 111110 111111
How much information does a picture contain? 255 254 0
How much information does a picture contain? Suppose the size of a picture is 256 x 256, And each pixel is represented by 8 bits, then Total bits to represent such a picture is 8 x 256= 524288 bits/picture How many pictures can be represented by a half Mbits? 010011010100001110101010. . . Total number of pictures 2524288 = 10158000
How many pictures have human beings been perceived Up to now, the number of all pictures which have been perceived by human beings is only 1019 <<< 10158000 Assume that 30 frames of pictures per second are perceived by human eyes. If the average life-span is 70 years and 8 hours per day are spent on sleep, then about 108 frames are received by one person in all his/her life. Furthermore, if the total number of human beings who lived in the earth is 1011, then, the total number of all pictures which have been perceived by human beings is only 1019.
Entropy of an image probability intensity 45 123 208 001 00010 00011 H=6. 9
Entropy of human face images A face image = 50 bytes (400 bits) !
Communication
Brain Wave H C source channel
Communication Channel Abstract Channel Model Ex. Noiseless Binary Channel Capacity C= 1 bit 0 0 1 1
Communication Channel Abstract Channel Model Ex. Noisy Binary Channel 0 Channel Capacity 1 C= 1 + p log 2 p + (1 -p) log 2 (1 -p) bits 1 -p p p 1 -p 0 1
Communication & Design receiver transmitter
Different Decoders ”When a group of people look at an object, none of them sees exactly the same thing as anyone else. Even if they receive approximately the same image on their retina and interpret the image in basically the same way, this image is always revised by the observer’s personality and situation. ” Rune Monö
Real-World Channel Model Ex. Band-limited Gaussian Channel Y(t) X(t) Z(t) Gaussian noise C = Wlog 2(1+P/N) bits/s W: channel bandwidth P/N: signal to noise ratio
Real-World Channel Model Telephone signals are band-limited to 3300 Hz and have a SNR of 20 d. B (P/N=100), C=3, 300 log (1+100)= 22, 000 bits/s Practical modems achieve transmission rates up to 19, 200 bits/s
Communication Theory II H Source R C Channel If H <= C lossless transmission possible If H > C lossless transmission impossible!
Brain Wave
Information Rate Sensory Bandwidth sensation Perceptual Bandwidth data perception information Cognitive Bandwidth cognition knowledge
Information Rates Sense Information Stream Bits/s Vision 10. 000 Hearing 100. 000 Touch 10. 000 Smell 1. 000 Taste 1. 000 Sense Bandwidth of consciousness bits/s vision 40 hearing 30 touch 5 Taste and smell 1
Channel=”Bandpass Filter”
Effect of Bandpass Effect of degrading the speech signal by spectral filtering The original speech signal contains significant energy up to 7 k. Hz a) signal bandpass filtered (0. 25 - 0. 75 k. Hz) b) signal bandpass filtered (1. 0 – 3. 0 k. Hz) c) original signal
Bandpass System Most long-haul transmission systems have a bandpass Frequency response The transfer function can be written as R =C L where the resonant frequency fo and quality factor Q are The 3 d. B bandwidth between the lower and upper cutoff 1. 0 0. 707 frequencies is B fl fo fu f
Bandpass System Since practical tuned circuits usually have 10 < Q <100, the fractional bandwidth B/fc should be kept within the range As a rough rue of thumb, the carrier frequencies and corresponding nominal bandwidth can be
Bandpass System Selected carrier frequencies and nominal bandwidth Frequency band Longwave radio Carrier frequency Bandwidth 100 k. Hz 2 k. Hz 5 MHz 100 k. Hz 100 MHz 2 MHz 5 GHz 100 MHz Millimeterwave 1 00 GHz 2 GHz Optical 5 x 1014 Hz 1013 Hz Shortwave radio VHF Microwave
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