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Don’t Lie to Me: Tracking Eye Movement and Mouse Trajectory to Detect Deception in Sharing Economy

  • Ping Wu
  • Jie Gu
  • Tian Lu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 850)

Abstract

As trust and security are key for the sustainability of sharing economy, it is important to detect deceptive information and screen out suspicious users. This study aims to design a new paradigm to identify deceptive information based on eye movement and mouse trajectory. A collaborative travelling experiment environment is developed to collect data. By tracking and analyzing abnormal user reactions and the consistency between eye movement and mouse trajectory, this research-in-progress work expects to distinguish lie-telling users from honest ones. Our design is expected to improve the efficiency to detect deceptive information and identify suspicious users.

Keywords

Nuanced behavioral cue Eye movement Mouse trajectory HCI Deception detection 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Fudan UniversityShanghaiChina
  2. 2.Shanghai Academy of Social SciencesShanghaiChina

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