Keywords

survey research, response bias, mouse-cursor movements, response deviation, response time, data quality, social desirability bias

Abstract

The Information Systems discipline, as well as countless others, rely on surveys to explore hypotheses and answer research questions. All research methods have strengths and weaknesses. A significant threat to the validity of surveys are response biases – i.e., the tendency of people to respond to questions on some basis other than the question content. We propose that by monitoring how a respondent answers an online survey—through monitoring Human-Computer Interaction movement indicators, specifically mousecursor movements—can provide novel information that can be used to statistically detect, understand, and control for many different types of response biases. We explore this proposition in an experiment that examined the relationship between intentions and one’s actual behavior overtime. By moderating the relationship between intentions and behavior using respondents’ mouse-cursor movements, we approximately doubled the rsquared of our conceptual model. The results suggest that some response biases influence mouse-cursor movements when completing an online survey.

Original Publication Citation

Jenkins, J. L., Valacich, J. S, Williams, P. (2017) “Human-Computer Interaction Movement Indicators of Response Biases in Online Surveys”. International Conference on Information Systems. Seoul, Korea, December 10-13.

Document Type

Conference Paper

Publication Date

2017

Publisher

International Conference on Information Systems

Language

English

College

Marriott School of Business

Department

Information Systems Management

University Standing at Time of Publication

Full Professor

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