This paper focuses on question selection methods for conversational recommender systems. We consider a scenario, where given an initial user query, the recommender system may ask ...
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...
The present study demonstrates how the emotional content of search terms and their eventual results affects the breadth of a users' search for information. We observed the qu...
Databases containing microscopy images and associated meta-data present users with the challenge of interpreting complex interrelationships between objects. Effective user tools m...
Many systems provide the user with a limited viewport of a larger graphical workspace. In these systems, the user often needs to find and select targets that are in the workspace,...