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Jofish Kaye

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Jofish Kaye
Born
Joseph Kaye

London, United Kingdom
CitizenshipBritish
American
Alma materMassachusetts Institute of Technology (BSc, MSc)
Cornell University (PhD)
Known forHuman-Computer Interaction, digital smell output
Scientific career
Theses
Doctoral advisorPhoebe Sengers
Other academic advisorsMichael Lynch (ethnomethodologist), Jeffrey T. Hancock, Kristina Höök
Websitewww.jofish.com

Jofish Kaye is an American and British scientist specializing in human-computer interaction and artificial intelligence. He supports the Innovation Enablement team's research function as Principle Scientist at Wells Fargo, and previously ran interaction design and user research teams at anthem.ai and at Mozilla.

Education

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Jofish Kaye was born in London and lived in Paris, Singapore, and Tokyo before returning to London. He received a B.S. in Brain and Cognitive Sciences from MIT, followed by a Master in Media Arts & Sciences from the MIT Media Lab[1] where he did work on the internet of things.[2] His masters thesis, Symbolic Olfactory Display,[3] was a pioneer in using digital smell output for information display, where he first characterized the "smicon" or smell icon, in contrast to the "olfactory icon", by analogy to the notion of the phicon introduced by Hiroshi Ishi. He was the first student to come to Cornell to join the Cornell Information Science Ph.D program, where his advisor was Phoebe Sengers. During his Ph.D, he was a Visiting Research Scientist at Microsoft Research, Cambridge, where he contributed to the evaluation of the Whereabouts Clock,[4] and also interned with Genevieve Bell at Intel. He graduated with his Ph.D in 2009, where his thesis looked at the evaluation of non-task-focused human-computer interaction[5]

Professional career

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After graduating with his Ph.D, he joined Nokia Research in Palo Alto, California, in 2010, where he studied family use of video chat,[6] and worked on using RFID to improve access to clean water supplies in Haiti.[7] In 2012, he was elected vice president at large of ACM SIGCHI. In 2013 he joined Yahoo Labs, where he studied how people think about money,[8] as well as data narratives, the stories people tell about data.[9] He co-chaired the CHI Conference with Allison Druin in 2016. He then joined Mozilla as principal research scientist, where his team built Firefox Voice, an open source smart speaker that ran in the browser. He also ran the Mozilla Research Grant program, funding some 50 research projects over three years. In 2021, he joined anthem.ai, part of Anthem (company), as Senior Director of Interaction Design & Artificial Intelligence.[1]In 2024, he joined Wells Fargo as a Principle Scientist within the Strategy, Design & Innovation organization.

Kaye has a strong interest in promoting diversity in tech, and has served on the ACM Diversity & Inclusion Council.[1]

Teaching & Advising

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Kaye has taught Stanford University’s CS247 Human-Computer Interaction Studio[10] in 2014 (with John Tang[11]) and 2015 (with six collaborators, 120 students). Jofish also coached and co-taught the Stanford d.School class Designing Liberation Technology in 2013 with Terry Winograd, Josh Cohen, and Zia Yuseff.

Selected works

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  • 2019 - Music, search, and IoT: How people (really) use voice assistants. Tawfiq Ammari, Jofish Kaye, Janice Y Tsai, Frank Bentley. ACM Transactions on Computer-Human Interaction (TOCHI) 26 (3)
  • 2005 - Reflective design. P Sengers, K Boehner, S David, JJ Kaye. Proceedings of the 4th decennial conference on Critical computing
  • 2007 - Locating family values: A field trial of the Whereabouts Clock[4] B Brown, AS Taylor, S Izadi, A Sellen, J Jofish’Kaye, R Eardley.
  • 2007 - Making love in the network closet: the benefits and work of family video chat. MG Ames, J Go, JJ Kaye, M Spasojevic. International Conference on Ubiquitous Computing, 354-371

References

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  1. ^ a b c "Jofish Kaye, Ph.D". jofish.com. Retrieved 2021-01-05.
  2. ^ Hamilton, William L. (18 February 1999). "IN THE KITCHEN WITH: M.I.T. Media Lab; Let Them Eat Cache". The New York Times.
  3. ^ Kaye, Joseph Nathaniel (2001). Symbolic olfactory display (Thesis thesis). Massachusetts Institute of Technology. hdl:1721.1/16788.
  4. ^ a b Brown, Barry; Taylor, Alex S.; Izadi, Shahram; Sellen, Abigail; Kaye, Joseph Jofish’; Eardley, Rachel (2007), Krumm, John; Abowd, Gregory D.; Seneviratne, Aruna; Strang, Thomas (eds.), "Locating Family Values: A Field Trial of the Whereabouts Clock: (Nominated for the Best Paper Award)", UbiComp 2007: Ubiquitous Computing, Lecture Notes in Computer Science, vol. 4717, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 354–371, doi:10.1007/978-3-540-74853-3_21, ISBN 978-3-540-74852-6, S2CID 6392274, retrieved 2021-01-05
  5. ^ Kaye, Joseph (2008-12-18). The Epistemology and Evaluation of Experience-focused HCI (Thesis). Cornell University.
  6. ^ Ames, Morgan G.; Go, Janet; Kaye, Joseph 'Jofish'; Spasojevic, Mirjana (2010). "Making love in the network closet". Proceedings of the 2010 ACM conference on Computer supported cooperative work. Savannah, Georgia, USA: ACM Press. pp. 145–154. doi:10.1145/1718918.1718946. ISBN 978-1-60558-795-0. S2CID 37245035.
  7. ^ Holstius, David; Kaye, Joseph "Jofish"; Seto, Edmund (2010). "Wireless monitoring of a distributed environmental health intervention in Haiti". Wireless Health 2010. San Diego, California: ACM Press. pp. 204–205. doi:10.1145/1921081.1921113. ISBN 978-1-60558-989-3. S2CID 207184367.
  8. ^ Kaye, Joseph Jofish; McCuistion, Mary; Gulotta, Rebecca; Shamma, David A. (2014-04-26). "Money talks". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Toronto Ontario Canada: ACM. pp. 521–530. doi:10.1145/2556288.2556975. ISBN 978-1-4503-2473-1. S2CID 23647705.
  9. ^ Vertesi, Janet; Kaye, Jofish; Jarosewski, Samantha N.; Khovanskaya, Vera D.; Song, Jenna (2016-02-27). "Data Narratives". Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. San Francisco California USA: ACM. pp. 478–490. doi:10.1145/2818048.2820017. ISBN 978-1-4503-3592-8. S2CID 18082882.
  10. ^ "CS 247 - HCI Design Studio". HCI Design Studios | CS 247. Retrieved 2021-01-05.
  11. ^ "John C. Tang's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2021-01-05.


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