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Detecting Users’ Psychological States through Mouse Cursor Movements

Referenz

Schneider, C., Weinmann, M., Valacich, J. S., & Robra-Bissantz, S. (2012). Detecting Users’ Psychological States through Mouse Cursor Movements. Paper presented at the 18th Americas Conference on Information Systems (AMCIS 2012). (VHB: D)

Publikationsart

Beitrag auf wissenschaftlicher Konferenz

Abstract

Behavioral research in information systems is testing increasingly complex models using increasingly sophisticated statistical methodologies. However, at the same time, the inputs into these models are often unobservable constructs, and are subject to biases such as social desirability or demand effects. Recently, IS researchers have turned to the use of psychophysiological tools to get a deeper understanding of the constructs of interest. However, such tools also have a number of drawbacks. To this end, we propose augmenting the use of traditional measurement scales and NeuroIS tools with other, readily observable phenomena. As a case in point, we propose mouse cursor movements as having the potential to provide online retailers with possibilities to infer users' state of flow, and discuss the potential of using mouse cursor movements for inferring users' psychological states in other settings and contexts.

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