We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
In this paper, we report a study that examines the relationship between image-based computational analyses of web pages and users’ aesthetic judgments about the same image mater...
Xianjun Sam Zheng, Ishani Chakraborty, James Jeng-...
Television news has become the predominant way of understanding the world around us, but individual news broadcasters can frame or mislead an audience’s understanding of politic...
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...