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Eye Gaze Based Dynamic Warnings

Authors:
Mini Zeng
Feng Zhu
Sandra Carpenter

Keywords: dynamic warning; eye gaze interaction; identity theft; warning design and evaluation

Abstract:
Various websites and mobile applications collect personal identity information. Personal privacy might be in danger if we exposed our identity information to a malicious third party. Warning countermeasures have been designed to mitigate identity theft. However, people often click the OK button without reading warning messages. We propose a dynamic warning system based on eye gaze information. The warning messages display just-in-time, and they fade out after users read them. To evaluate attention switch and maintenance, we developed an Eye Tracking Information Analysis tool. In addition, we built a simulated restaurant reservation app, named ReservME that integrated our dynamic warning system. We conducted a three-condition experiment with a comprehensive follow-up survey. Our experiment results show that the eye gaze based dynamic warning system helped participants reduce unnecessary identity disclosure.

Pages: 204 to 211

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-468-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016