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.

Share

COinS
 
Dec 15th, 12:00 AM

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.