Pfeiffer, Thomas ; Theuerling, Heike ; Kauer, Michaela (2013)
Click me if you can! - How do users decide whether to follow a call to action in an online message?
Human Aspects of Information Security, Privacy, and Trust. Las Vegas, NV (27 - 26 Jul 2013)
Conference or Workshop Item, Primary publication
|
Accepted author's final draft -
Text
(PDF)
Click_me_if_you_can_with_notice.pdf - Accepted Version Copyright Information: In Copyright. Download (1MB) | Preview |
Item Type: | Conference or Workshop Item |
---|---|
Type of entry: | Primary publication |
Title: | Click me if you can! - How do users decide whether to follow a call to action in an online message? |
Language: | English |
Date: | July 2013 |
Place of Publication: | Berlin Heidelberg |
Book Title: | Human Aspects of Information Security, Privacy, and Trust |
Series: | Lecture Notes in Computer Science |
Series Volume: | 8030 |
Event Title: | Human Aspects of Information Security, Privacy, and Trust |
Event Location: | Las Vegas, NV |
Event Dates: | 27 - 26 Jul 2013 |
URL / URN: | http://link.springer.com/chapter/10.1007/978-3-642... |
Abstract: | Being able to predict how internet users react when confronted with a potentially dangerous call for action in an online message (such as an e-mail) is important for severalreasons. On the one hand, users have to be protected from fraudulent e-mails such as phishing. On the other hand, over-cautious users would be difficult to communicate with on the internet, so senders of legitimate messages have to know how to convince recipients of the authenticity of their messages. Extensive research already exists from both of these perspectives, but each study only explores certain aspects of the complex system of factors influencing users’ reactions. In this paper the results of our efforts to integrate the various existing findings into one comprehensive model are presented, along with the results of a preliminary qualitative evaluation of some of the model’s predictions using quantitative as well as qualitative measures and eye-tracking. |
Uncontrolled Keywords: | decision model, e-mail, phishing, social engineering, e-commerce, trust, risk |
URN: | urn:nbn:de:tuda-tuprints-35839 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science 100 Philosophy and psychology > 150 Psychology 300 Social sciences > 330 Economics |
Divisions: | 16 Department of Mechanical Engineering > Ergonomics (IAD) 03 Department of Human Sciences > Institute for Psychology |
Date Deposited: | 22 Aug 2013 09:56 |
Last Modified: | 22 Aug 2013 09:56 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/3583 |
PPN: | 386305633 |
Export: |
View Item |