Decision behavior and performance in mobile trading applications

A common belief about decision making is that the more information we process the better our decisions. Increasingly, we rely on (mobile) information systems to filter, aggregate and present information in order to make it easier to process. With the rise of mobile IS the question arises how decision behavior differs compared to stationary settings. In this paper we analyze user actions in a repeated market environment. We conduct a field experiment in which participants can choose stationary and/or mobile access. Exhaustingly recording all user actions we can compare user performance depending on the device. We are able to distinguish between decision accuracy and behavior in a market environment and thereby provide insight into the interplay between interface, information and decision making.