Principles of mixed-initiative user interfaces

Recent debate has centered on the relative promise of focusinguser-interface research on developing new metaphors and tools thatenhance users abilities to directly manipulate objects versusdirecting effort toward developing interface agents that provideautomation. In this paper, we review principles that show promisefor allowing engineers to enhance human-computer interactionthrough an elegant coupling of automated services with directmanipulation. Key ideas will be highlighted in terms of the Lookoutsystem for scheduling and meeting management.

[1]  John Platt,et al.  Fast training of svms using sequential minimal optimization , 1998 .

[2]  Susan T. Dumais,et al.  Inductive learning algorithms and representations for text categorization , 1998, CIKM '98.

[3]  Eric Horvitz,et al.  Display of Information for Time-Critical Decision Making , 1995, UAI.

[4]  Eric Horvitz,et al.  Decision theory in expert systems and artificial intelligenc , 1988, Int. J. Approx. Reason..

[5]  Henry Lieberman,et al.  Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.

[6]  Ben Shneiderman,et al.  Visual information seeking: tight coupling of dynamic query filters with starfield displays , 1994, CHI '94.

[7]  Ben Shneiderman,et al.  Designing The User Interface , 2013 .

[8]  B. Schneirdeman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[9]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[10]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[11]  Henry Lieberman,et al.  Compelling intelligent user interfaces—how much AI? , 1997, IUI '97.

[13]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[14]  Eric Horvitz,et al.  Inferring Informational Goals from Free-Text Queries: A Bayesian Approach , 1998, UAI.

[15]  Eric Horvitz,et al.  The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.

[16]  Eric Horvitz,et al.  Challenge problems for artificial intelligence , 1996, AAAI 1996.

[17]  Ben Shneiderman,et al.  Direct manipulation vs. interface agents , 1997, INTR.