User:Max/rwm/bridge
Predictive Text
The first text message was sent in 1992 from Neil Papworth, a former developer at Sema Group Telecoms. Mobile phones did not have keyboards at the time, so Papworth had to type the message on a PC. Papworth's text — "Merry Christmas" — was successfully sent to Richard Jarvis at Vodafone. Most early GSM mobile phones did not support sending SMS (Short Message Service) text messages and only Nokia supported the sending of SMS text messages. Like often with new technology (Link to M McLuhan) the initial growth was slow.
0.4 SMS were sent per month per person / customer in 1995. In the year 2000 customers sent 35 SMS per month. Then in 2007 for the first time there were more text messages than phone calls per month.
Writing text messages on mobile phones was always hard. Because the available space on a mobile phone is very limited keyboards are not very convenient. A mobile phone in the early days had 9 number-keys, the first common method of commercial texting was "multi-tap", which means that each key displayed three to four letters. For example the key "3" holds "D", "E" and "F". To select the letter "E" you would have to tap two times the number-key "3". "Multi tap" was not very efficient.
In the 90s Tegic Communications developed a system/technology to simplify keying: T9. T9 stands for Text on 9 keys and was one of the first predictive text technologies. Instead of selecting each letter by tapping multiple times on the number keys with T9 the word gets formed by a single keypress for each letter. The groups of letters on each key are connected to a dictionary of words and the telephone looks up in this dictionary what words can be built out of the typed sequence. For example pressing "4663" will typically be interpreted as the word "good" (alternatives like "home", "hood" and "hoof" are also valid interpretations of this sequence). By offering words it speeds up the process of writing texts. It was also possible to extend the dictionary with individual entries and phones could learn to adapt to the user (= feedback loop, Norbert Wiener).
With the upcoming of touchscreens other types of predictive text technologies were developed.
Norbert wiener
boston arm
hearing glove / seeing glove
Keywords:
hot cold
participation
redundancy
1500 words
read: Cybernetic Brain
1) Explain my work
2) compare it make bridges to
McLuhan > Media circulates and changes the society
Wiener > Feedback Loops, systems adapt and learn (iPhone dictionary)
Shannon > Redundancy / Messages