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CHI
2009
ACM
14 years 9 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 8 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
CHI
2007
ACM
14 years 8 months ago
Sharing a single expert among multiple partners
Expertise to assist people on complex tasks is often in short supply. One solution to this problem is to design systems that allow remote experts to help multiple people in simult...
Jeffrey Wong, Lui Min Oh, Jiazhi Ou, Carolyn Penst...
CHI
2004
ACM
14 years 8 months ago
IM here: public instant messaging on large, shared displays for workgroup interactions
Instant messaging (IM) in the workplace has proven to be a valuable tool for facilitating informal communication. Its benefits, however, are generally limited to times when users ...
Elaine M. Huang, Daniel M. Russell, Alison E. Sue
EUROSYS
2006
ACM
14 years 5 months ago
Automated known problem diagnosis with event traces
Computer problem diagnosis remains a serious challenge to users and support professionals. Traditional troubleshooting methods relying heavily on human intervention make the proce...
Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zh...