John Long (computer scientist)

John Brian Long (born 3 December 1935) is a British computer scientist and Emeritus Professor of Cognitive Engineering at the University College London,[1] known for his work on "cognitive ergonomics and human-computer interaction."[2][3]

Biography

Long obtained his BA in Modern Languages from Cambridge University in 1960, his BSc in Psychology from Hull University in 1970, and his PhD in Cognitive Engineering from Cambridge University in 1978 with the thesis, entitled “Multidimensional Signal Recognition: Reduced Efficiency and Process Interaction,” under supervision of Donald Broadbent. In 2001 he obtained his D.Eng from the London University.[4]

Long started his academic career as Reader at the University College London in 1979, and was later appointed Professor of Cognitive Ergonomics> He also chaired its Ergonomics and HCI Unit, and was Director of Studies for both their MSc and PhD programs. in 2001 he became Emeritus Professor of Cognitive Engineering. Since 1989 he is Concurrent Professor at the Northeastern Forestry University in Harbin, China, and he has been Visiting Professor at the Swinburne University of Technology in 1997, Melbourne, at the Eindhoven University of Technology in 1998–2000, and at the Universiti Malaysia Sarawak in 2000.[4]

Long is seen as one of the founders of the field of human-computer interactions in the UK. In 2010 Journal Interacting with Computers published a Special Issue Festschrift for John Long.

Selected publications

Articles, a selection:

References

  1. Sutcliffe, Alistair; Blandford, Ann (2010). "Guest Editors' Introduction". Interacting with Computers. 22 (1): 1–2. doi:10.1016/j.intcom.2009.11.005.
  2. Gorayska, Barbara, and Jacob L. Mey. Cognitive technology. Springer London, 1996.
  3. Grudin, Jonathan (2005). "Three faces of human-computer interaction". IEEE Annals of the History of Computing. 4: 46–62.
  4. 1 2 Long, John; education at ucl.ac.uk. Accessed 17-04-2015.

External links

This article is issued from Wikipedia - version of the 5/27/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.