DocumentCode :
1892520
Title :
Discovering action idioms bridging the gap between system-level events and human-level actions
Author :
Gervasio, Melinda ; Lee, Tien Jung
Author_Institution :
Artificial Intell. Center, SRI Int., Menlo Park, CA, USA
fYear :
2013
fDate :
15-19 Sept. 2013
Firstpage :
11
Lastpage :
14
Abstract :
As computing devices become more pervasive in our daily lives, effective communication between the user and the system becomes increasingly important. The ability to describe actions at a human level of abstraction is key. However, the level at which computer system events is most easily captured is often well below the level at which humans conceptualize actions. We present a sequential pattern mining approach to discovering human-level actions-action idioms - from instrumentation logs of lower-level events. To support validation by a human expert, idiom discovery is designed to maximize recall, with filtering heuristics applied to help eliminate false positives. Empirical evaluation on data from a fielded application shows the promise of the approach for the automatic discovery of action idioms.
Keywords :
data mining; ubiquitous computing; action idioms; computer system events; effective communication; human-level actions; pervasive computing; sequential pattern mining; system-level events; Bridges; Data mining; Filtering; Gold; Instruments; Programming; Standards; action abstraction; action modeling; end-user programming; intelligent computational assistants; sequential pattern mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Languages and Human-Centric Computing (VL/HCC), 2013 IEEE Symposium on
Conference_Location :
San Jose, CA
ISSN :
1943-6092
Type :
conf
DOI :
10.1109/VLHCC.2013.6645236
Filename :
6645236
Link To Document :
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