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CHI
2009
ACM
14 years 5 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
ECIS
2003
13 years 5 months ago
An empirical investigation of intelligent agents for e-business customer relationship management: a knowledge management perspec
: Using a knowledge management perspective, this paper investigates new and efficient ways of applying intelligent agents to e-business customer relationship management. Intelligen...
Weiquan Wang, Izak Benbasat
IAT
2010
IEEE
13 years 2 months ago
Design and Evaluation of Explainable BDI Agents
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...
Maaike Harbers, Karel van den Bosch, John-Jules Ch...
AE
2001
Springer
13 years 9 months ago
Why Biologists and Computer Scientists Should Work Together
This is a time of increasing interdisciplinary research. Computer science is learning more from biology every day, enabling a plethora of new software techniques to flourish. And b...
Peter J. Bentley
IUI
2010
ACM
14 years 1 months ago
The why UI: using goal networks to improve user interfaces
People interact with interfaces to accomplish goals, and knowledge about human goals can be useful for building intelligent user interfaces. We suggest that modeling high, human-l...
Dustin Arthur Smith, Henry Lieberman