Abigail Sellen

Abigail J. Sellen FREng FBCS is a Canadian[1] cognitive scientist, industrial engineer, and computer scientist who works for Microsoft Research in Cambridge.[2][3] She is also an honorary professor at the University of Nottingham and University College London.[4]

Sellen earned a master's degree in industrial engineering from the University of Toronto, and a PhD in cognitive science from the University of California, San Diego under the supervision of Don Norman. She has worked as a research fellow at Darwin College, Cambridge as well as for various corporate research laboratories including Xerox PARC, Apple Inc., and HP Labs before joining Microsoft in 2004.[2]

With Richard H. R. Harper, Sellen wrote The Myth of the Paperless Office (MIT Press, 2001).[5]

She is a fellow of the Royal Academy of Engineering and the British Computer Society.[3] She was inducted into the CHI Academy in 2011.[6] in 2016 she became a fellow of the Association for Computing Machinery "for contributions to human-computer interaction and the design of human-centered technology".[1][3]

References

  1. "Abigail Sellen", ACM Fellows, Association for Computing Machinery, retrieved 2017-10-07
  2. "Abigail Sellen", People, Microsoft Research, retrieved 2017-10-07
  3. "Abigail Sellen", People of ACM, Association for Computing Machinery, February 7, 2017, retrieved 2017-10-07
  4. "Professor Abigail Sellen", Diversity in our Fellowship, Royal Academy of Engineering, retrieved 2017-10-07
  5. Reviews of The Myth of the Paperless Office: Robert Horton (2002), The American Archivist 65 (1), , JSTOR 40294195; Frederick E. Allen (2002), American Heritage 53 (6), ; J. Michael Pemberton (2002), Information Management Journal, ; Tom Wilson (2002), Information Research, ; Gloria Meynen (2003), Zeitschrift für Germanistik 13 (3): 668–670, JSTOR 23977312; Christine Reid (2003), Journal of Documentation 59 (2): 220, ; Jennifer Weintraub (2003), Libraries and the Academy 3 (1): 161–162, doi:10.1353/pla.2003.0023.
  6. 2011 SIGCHI AWARDS, ACM SIGCHI, retrieved 2017-10-07
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