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Abstract: Recent debate has centered on the relative promise of focusing user-interface research on developing new metaphors and tools that enhance users' abilities to directly manipulate objects versus directing effort toward developing interface agents that provide automation. In this paper, we review principles that show promise for allowing engineers to enhance human---computer interaction through an elegant coupling of automated services with direct manipulation. Key ideas will be highlighted in... (Update)
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BibTeX entry: (Update)
E. Horvitz, "Principles of Mixed-Initiative User Interfaces," Proc. ACM SIGCHI Conf. Human Factors in Computing Systems, ACM press, New York, 1999, pp. 159--166; http://research.microsoft.com/~horvitz/uiact.htm. http://citeseer.ist.psu.edu/horvitz99principles.html More
@inproceedings{ horvitz99principles,
author = "Eric Horvitz",
title = "Principles of Mixed-Initiative User Interfaces",
booktitle = "{CHI}",
pages = "159-166",
year = "1999",
url = "citeseer.ist.psu.edu/horvitz99principles.html" }
Citations (may not include all citations):1543 Probabilistic Reasoning in Intelligent Systems: Networks of .. (context) - Pearl - 1991 ACM
404 Agents that Reduce Work and Information Overload (context) - Maes ACM DBLP
244 Letizia: An Agent That Assists Web Browsing - Lieberman - 1995 DBLP
184 Visual information seeking: Tight coupling of dynamic query .. - Ahlberg, Schneiderman - 1994
120 Inductive learning algorithms and representations for text c.. (context) - Dumais, Platt et al. - 1998 ACM DBLP
65 The Lumiere Project: Bayesian User Modeling for Inferring th.. - Horvitz, Breese et al. - 1998
46 Decision theory in Expert Systems and Artificial Intelligenc.. - Horvitz, Breese et al. ACM
39 Designing the User Interface: Strategies for Effective Human.. (context) - Schneiderman - 1992 ACM
32 Display of Information for Time-Critical Decision Making - Horvitz, Barry - 1995 DBLP
13 Inferring Informational Goals from Free-Text Queries: A Baye.. - Heckerman, Horvitz - 1998 DBLP
12 Challenge Problems for Artificial Intelligence - Selman, Brooks et al. - 1996
12 Fast training of SVMs using sequential minimal optimization (context) - Platt - 1999
4 Direct Manipulation vs (context) - Maes, Schneiderman - 1997
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