Detecting users' psychological states through mouse cursor movements

Christoph Schneider, Joe S. Valacich, Markus Weinmann, Susanne Robra-Bissantz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Behavioral research in information systems is testing increasingly complex models using sophisticated statistical methodologies. As the inputs into these models are often unobservable constructs, they are subject to various biases such as social desirability or demand effects. Responding to such problems, IS researchers have recently 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, such as high costs or increased artificiality of the setting, potentially limiting external validity. To this end, we propose augmenting the use of traditional measurement scales and psychophysiological 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.

Original languageEnglish (US)
Title of host publication18th Americas Conference on Information Systems 2012, AMCIS 2012
Number of pages1
StatePublished - Dec 1 2012
Event18th Americas Conference on Information Systems 2012, AMCIS 2012 - Seattle, WA, United States
Duration: Aug 9 2012Aug 12 2012

Publication series

Name18th Americas Conference on Information Systems 2012, AMCIS 2012
Volume4

Other

Other18th Americas Conference on Information Systems 2012, AMCIS 2012
CountryUnited States
CitySeattle, WA
Period8/9/128/12/12

Keywords

  • Human-computer interaction
  • Mouse cursor movements
  • Psychophysiology

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

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    Schneider, C., Valacich, J. S., Weinmann, M., & Robra-Bissantz, S. (2012). Detecting users' psychological states through mouse cursor movements. In 18th Americas Conference on Information Systems 2012, AMCIS 2012 (18th Americas Conference on Information Systems 2012, AMCIS 2012; Vol. 4).