Sänger, Johannes, Hänsch, Norman, Glass, Brian, Benenson, Zinaida, Landwirth, Robert and Sasse, M. Angela
(2016)
Look Before You Leap: Improving the Users’ Ability to Detect Fraud in Electronic Marketplaces.
In:
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems.
ACM, New York, NY, USA, pp. 3870-3882.
ISBN 978-1-4503-3362-7.
Date of publication of this fulltext: 20 May 2016 07:55at publisher (via DOI)
Abstract
Reputation systems in current electronic marketplaces can easily be manipulated by malicious sellers in order to appear more reputable than appropriate. We conducted a controlled experiment with 40 UK and 41 German participants on their ability to detect malicious behavior by means of an eBay-like feedback profile versus a novel interface involving an interactive visualization of reputation data. ...
Abstract
Reputation systems in current electronic marketplaces can easily be manipulated by malicious sellers in order to appear more reputable than appropriate. We conducted a controlled experiment with 40 UK and 41 German participants on their ability to detect malicious behavior by means of an eBay-like feedback profile versus a novel interface involving an interactive visualization of reputation data. The results show that participants using the new interface could better detect and understand malicious behavior in three out of four attacks (the overall detection accuracy 77% in the new vs. 56% in the old interface). Moreover, with the new interface, only 7% of the users decided to buy from the malicious seller (the options being to buy from one of the available sellers or to abstain from buying), as opposed to 30% in the old interface condition.
Export bibliographical data
Download Statistics