Oznur Alkan, Massimilliano Mattetti, et al.
INFORMS 2020
Users of complex applications need advice, assistance, and feedback while they work. We are experimenting with `adjunct' user agents that are aware of the history of interaction surrounding the accomplishment of a task. This paper describes an architectural framework for constructing these agents. Using this framework, we have implemented a critiquing system that can give task-oriented critiques to trainees while they use operating system tools and software applications. Our approach is generic, widely applicable, and works directly with off-the-shelf software packages.
Oznur Alkan, Massimilliano Mattetti, et al.
INFORMS 2020
Rajesh Balchandran, Leonid Rachevsky, et al.
INTERSPEECH 2009
Casey Dugan, Werner Geyer, et al.
CHI 2010
Elaine Hill
Human-Computer Interaction