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Click me if you can! - How do users decide whether to follow a call to action in an online message?

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)
Konferenzveröffentlichung, Erstveröffentlichung

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Pfeiffer, Thomas ; Theuerling, Heike ; Kauer, Michaela
Art des Eintrags: Erstveröffentlichung
Titel: Click me if you can! - How do users decide whether to follow a call to action in an online message?
Sprache: Englisch
Publikationsjahr: Juli 2013
Ort: Berlin Heidelberg
Buchtitel: Human Aspects of Information Security, Privacy, and Trust
Reihe: Lecture Notes in Computer Science
Band einer Reihe: 8030
Veranstaltungstitel: Human Aspects of Information Security, Privacy, and Trust
Veranstaltungsort: Las Vegas, NV
Veranstaltungsdatum: 27 - 26 Jul 2013
URL / URN: http://link.springer.com/chapter/10.1007/978-3-642-39345-7_1...
Kurzbeschreibung (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.

Freie Schlagworte: decision model, e-mail, phishing, social engineering, e-commerce, trust, risk
ID-Nummer: IADN: 1946
URN: urn:nbn:de:tuda-tuprints-35839
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
100 Philosophie und Psychologie > 150 Psychologie
300 Sozialwissenschaften > 330 Wirtschaft
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
Hinterlegungsdatum: 25 Aug 2013 19:55
Letzte Änderung: 28 Jun 2018 11:49
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