Human-centered machine learning

Conference on Human Factors in Computing Systems - Proceedings

Volumn 07-12-May-2016, Issue , 2016, Pages 3558-3565

  Gillies, Marco ^a   Fiebrink, Rebecca ^a   Tanaka, Atau ^a   Garcia, Jérémie ^a   Bevilacqua, Frédéric ^b   Heloir, Alexis ^c,d   Nunnari, Fabrizio ^d   Mackay, Wendy ^e   Amershi, Saleema ^f   Lee, Bongshin ^f   D'alessandro, Nicolas ^g   Tilmanne, Joëlle ^g   Kulesza, Todd ^h   Caramiaux, Baptiste ⁱ  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b CNRS   (France)

^c GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^d LAMIH   (France)

^e INRIA   (France)

^f MICROSOFT RESEARCH   (United States)

^g UNIVERSITY OF MONS   (Belgium)

^h MICROSOFT   (United States)

ⁱ MCGILL UNIVERSITY   (Canada)

Author keywords

Data; Machine learning; User centered design

Indexed keywords

ARTIFICIAL INTELLIGENCE; HUMAN ENGINEERING; LEARNING SYSTEMS; USER CENTERED DESIGN;

CO-ADAPTATION; DATA; HUMAN CONTEXT; LEARNING TOOL; MACHINE-LEARNING; REFRAMING; SITUATED HUMAN; STATISTICAL INFERENCE; WORK-FLOWS; WORKING PRACTICES;

HUMAN COMPUTER INTERACTION;

EID: 85014636018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2851581.2856492     Document Type: Conference Paper

References (9)

1. Saleema Amershi, Maya Cakmak, W. Bradley Knox, and Todd Kulesza. 2014. Power to the people: The role of humans in interactive machine learning. AI Magazine 35, 4(2014), 105-120.
2. Saleema Amershi, James Fogarty, and Daniel S. Weld. 2012. Regroup: Interactive machine learning for ondemand group creation in social networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12). 21-30. DOI: http://dx.doi.org/10.1145/2207676.2207680
3. Bill Buxton. 2007. Sketching user experiences: Getting the design right and the right design. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
4. Steven P. Dow, Alana Glassco, Jonathan Kass, Melissa Schwarz, Daniel L. Schwartz, and Scott R. Klemmer. 2010. Parallel prototyping leads to better design results, more divergence, and increased self-efficacy. ACM Transactions on Computer-Human Interaction 17, 4(Dec. 2010), 1-24. DOI: http://dx.doi.org/10.1145/1879831.1879836
5. Jerry Alan Fails and Dan R. Olsen Jr. 2003. Interactive machine learning. In Proceedings of the International Conference on Intelligent User Interfaces (IUI'03). 39-45. DOI: http://dx.doi.org/10.1145/604045.604056
6. Rebecca Fiebrink. 2011. Real-time human interaction with supervised learning algorithms for music composition and performance. Ph. D. Dissertation. Princeton University, Princeton, NJ, USA.
7. Andrea Kleinsmith and Marco Gillies. 2013. Customizing by doing for responsive video game characters. International Journal of Human-Computer Studies 71, 7-8(2013), 775-784. DOI: http://dx.doi.org/10.1016/j. ijhcs.2013.03.005
8. Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, and Denis Charles. 2014. Structured labeling for facilitating concept evolution in machine learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'14). 3075-3084. DOI: http://dx.doi.org/10.1145/2556288. 2557238
9. Kayur Patel, James Fogarty, James A. Landay, and Beverly Harrison. 2008. Investigating statistical machine learning as a tool for software development. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'08). 667-676. DOI: http://dx.doi.org/10.1145/1357054.1357160