The relationships between emotional states and information processing strategies in IS decision support—a neuroIS approach

Abstract

In this Work-in-Progress report, we describe an innovative experiment design for investigating the potential relationships between IS users’ emotional states (positive vs. negative) and their information processing strategies (automatic processing vs. controlled processing) during decision makings in an IS decision support environment. In the extant literature studying this topic, the users’ emotional states are usually determined by self-report or mental cue induction, and their information processing strategies by self-report or experiment task performance. In this paper, we describe an experiment design that utilizes neural and psychophysiological signals from the users to infer their emotional states and information processing strategies in real time. Our results will provide additional empirical evidence that are objective and accurate to this significant open research question.