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?
In: Human Aspects of Information Security, Privacy, and Trust, 2013
Buchkapitel, Zweitveröffentlichung
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
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: | Buchkapitel |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Pfeiffer, Thomas ; Theuerling, Heike ; Kauer, Michaela |
| Art des Eintrags: | Zweitveröffentlichung |
| 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: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2013 |
| Buchtitel: | Human Aspects of Information Security, Privacy, and Trust |
| Reihe: | Lecture Notes in Computer Science |
| Band einer Reihe: | 8030 |
| Veranstaltungsdatum: | 27.07.2013-26.07.2013 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/3583 |
| Zugehörige Links: | |
| 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 |
| Zusätzliche Informationen: | Human Aspects of Information Security, Privacy, and Trust, Las Vegas, NV, 27 - 26 Jul 2013 |
| 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: | 09 Aug 2024 09:09 |
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| Suche nach Titel in: | TUfind oder in Google |
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