In decision making under risk, people prefer the risk aversive choices for gains and the risk seeking choices for losses. This paper presents an analysis describing that those cho...
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
Although a significant body of research has focused on understanding the effect of media differences on group behaviors and processes, little is known about how media differences ...
Joseph S. Valacich, Saonee Sarker, Jamie Pratt, Mi...
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
Humans currently use arguments for explaining choices which are already made, or for evaluating potential choices. Each potential choice has usually pros and cons of various stren...