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CHI
2009
ACM
16 years 7 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
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 7 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
143
Voted
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
16 years 7 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
CHI
2008
ACM
16 years 7 months ago
Generalized selection via interactive query relaxation
Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of select...
Jeffrey Heer, Maneesh Agrawala, Wesley Willett
CHI
2006
ACM
16 years 7 months ago
Design and experimental analysis of continuous location tracking techniques for Wizard of Oz testing
Wizard of Oz (WOz) testing has shown promise as an effective way to test location-enhanced applications. However, it is challenging to conduct a location-based WOz test because of...
Yang Li, Evan Welbourne, James A. Landay