Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
Little is known about the strategies end-user programmers use in debugging their programs, and even less is known about gender differences that may exist in these strategies. With...
Neeraja Subrahmaniyan, Laura Beckwith, Valentina G...
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
The problem of dependability in end-user programming is an emerging area of interest. Pair collaboration in end-user software development may offer a way for end users to debug th...
Thippaya Chintakovid, Susan Wiedenbeck, Margaret M...