Location
260-057, Owen G. Glenn Building
Start Date
12-15-2014
Description
The completion of online forms is the catalyst for many business and governmental processes. However, providing fraudulent information in such forms is pervasive, resulting in costly consequences for organizations and society. Furthermore, detecting fraudulent responses in online forms is often very difficult, time consuming, and expensive. This research proposes that analyzing users’ mouse movements may reveal when a person is being fraudulent. Namely, based on neuroscience and deception theory, the paper explains how deception may influence hand movements captured via the computer mouse. In an insurance fraud context, a study is conducted to explore these proposed relationships. The results suggest that being deceptive may increase the normalized distance of movement, decrease the speed of movement, increase the response time, and result in more left clicks. Implications for human-computer interaction research and practice are discussed.
Recommended Citation
Hibbeln, Martin; Jenkins, Jeffrey; Schneider, Christoph; Valacich, Joseph; and Weinmann, Markus, "Investigating the Effect of Insurance Fraud on Mouse Usage in Human-Computer Interactions" (2014). ICIS 2014 Proceedings. 8.
https://aisel.aisnet.org/icis2014/proceedings/HCI/8
Investigating the Effect of Insurance Fraud on Mouse Usage in Human-Computer Interactions
260-057, Owen G. Glenn Building
The completion of online forms is the catalyst for many business and governmental processes. However, providing fraudulent information in such forms is pervasive, resulting in costly consequences for organizations and society. Furthermore, detecting fraudulent responses in online forms is often very difficult, time consuming, and expensive. This research proposes that analyzing users’ mouse movements may reveal when a person is being fraudulent. Namely, based on neuroscience and deception theory, the paper explains how deception may influence hand movements captured via the computer mouse. In an insurance fraud context, a study is conducted to explore these proposed relationships. The results suggest that being deceptive may increase the normalized distance of movement, decrease the speed of movement, increase the response time, and result in more left clicks. Implications for human-computer interaction research and practice are discussed.