The following tables describe the content of the public data set of the paper "Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection: An Empirical Investigation".
Column Name | Description |
---|---|
Subject | participant ID |
Case | survey condition |
Name of Biometric Trait | Explanation Used in the Survey |
---|---|
Keystroke Dynamics | The way you use a keyboard (e.g., how long you hold down a certain key). |
Mouse Dynamics | The way you use a mouse (e.g., how long you hold down a mouse button or how fast you move the mouse pointer). |
Touch Dynamics | The way you use a touchscreen (e.g., how lightly/strongly and how long you touch the screen). |
Device Movement | Information on how your device moves while you use it. |
Gait | Information on how your device (e.g., smartphone or smartwatch) moves as you walk or move. |
Location Data | Information about your location, e.g., via GPS. |
Connectivity Data | Information about what Wi-fi networks or Bluetooth devices are available in your surroundings. |
Usage Profile | What functions of an application you use at what time. |
Device Statistics | Hardware information of your device such as the energy consumption. |
Fingerprint Recognition | Fingerprint sensor data. |
Iris Recognition | Webcam images of your eyes. |
Face Recognition | Webcam images of your face. |
Voice Recognition | Audio data recorded with the microphone of your device. |
Electroencephalogram (EEG) | Data from a sensor that monitors the activity of your brain. |
Electrocardiogram (ECG) | Data from a sensor that monitors the activity of your heart (e.g., in a smartwatch). |
Column Name | Scale of Measure | Scale Range |
---|---|---|
WTD_MouseDynamics | metric | 0 (not willing at all) - 100 (very willing) |
WTD_KeystrokeDynamics | metric | 0 (not willing at all) - 100 (very willing) |
WTD_FaceRecognition | metric | 0 (not willing at all) - 100 (very willing) |
WTD_IrisRecognition | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Fingerprint | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Voice | metric | 0 (not willing at all) - 100 (very willing) |
WTD_TouchDynamics | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Profiling | metric | 0 (not willing at all) - 100 (very willing) |
WTD_ConnectionData | metric | 0 (not willing at all) - 100 (very willing) |
WTD_DeviceStatistics | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Location | metric | 0 (not willing at all) - 100 (very willing) |
WTD_ECG | metric | 0 (not willing at all) - 100 (very willing) |
WTD_EEG | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Move | metric | 0 (not willing at all) - 100 (very willing) |
WTD_Gait | metric | 0 (not willing at all) - 100 (very willing) |
Column Name | Scale of Measure | Scale Range |
---|---|---|
EFFIC_MouseDynamics | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_KeystrokeDynamics | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_FaceRecognition | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_IrisRecognition | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Fingerprint | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Voice | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_TouchDynamics | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Profiling | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_ConnectionData | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_DeviceStatistics | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Location | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_ECG | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_EEG | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Move | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
EFFIC_Gait | metric | 0 (I don't believe it helps) - 100 (I believe it helps) |
Column Name | Scale of Measure | Scale Range |
---|---|---|
RISK_MouseDynamics | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_KeystrokeDynamics | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_FaceRecognition | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_IrisRecognition | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Fingerprint | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Voice | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_TouchDynamics | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Profiling | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_ConnectionData | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_DeviceStatistics | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Location | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_ECG | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_EEG | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Move | metric | 0 (no privacy risk) - 100 (high privacy risk) |
RISK_Gait | metric | 0 (no privacy risk) - 100 (high privacy risk) |
Construct to measure security attitudes.
Cori Faklaris, Laura Dabbish, and Jason I. Hong. 2019. A self-report measure of end-user security attitudes (SA-6). In Proceedings of the Fifteenth USENIX Conference on Usable Privacy and Security (SOUPS'19). USENIX Association, USA, 61–77.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
QSA6.SA601. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | I seek out opportunities to learn about security measures that are relevant to me. |
QSA6.SA602. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | I am extremely motivated to take all the steps needed to keep my online data and accounts safe. |
QSA6.SA603. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | Generally, I diligently follow a routine about security practices. |
QSA6.SA604. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | I often am interested in articles about security threats. |
QSA6.SA605. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | I always pay attention to experts’ advice about the steps I need to take to keep my online data and accounts safe. |
QSA6.SA606. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | I am extremely knowledgeable about all the steps needed to keep my online data and accounts safe. |
Construct to measure internet users' privacy concern.
Thomas Groß. 2021. Validity and Reliability of the Scale Internet Users’ Informa-
tion Privacy Concerns (IUIPC). Proceedings on Privacy Enhancing Technologies
2021, 2 (2021), 235–258.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
QIUIPC1.IUI01. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | Consumer online privacy is really a matter of consumers’ right to exercise control and autonomy over decisions about how their information is collected, used, and shared. |
QIUIPC1.IUI02. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | Consumer control of personal information lies at the heart of consumer privacy. |
QIUIPC1.IUI03. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | Companies seeking information online should disclose the way the data are collected, processed, and used. |
QIUIPC1.IUI04. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | A good consumer online privacy policy should have a clear and conspicuous disclosure. |
QIUIPC1.IUI05. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | It usually bothers me when online companies ask me for personal information. |
QIUIPC1.IUI06. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | When online companies ask me for personal information, I sometimes think twice before providing it. |
QIUIPC1.IUI07. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | It bothers me to give personal information to so many online companies. |
QIUIPC1.IUI08. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | I’m concerned that online companies are collecting too much personal information about me. |
Construct to measure risk related to the disclosure of biometric traits to a website or app provider for continuous authentication.
Naresh K Malhotra, Sung S Kim, and James Agarwal. 2004. Internet Users’
Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal
Model. Information Systems Research 15, 4 (2004), 336–355.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
RASSETS.RAS01. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | In general, it would be risky if an unauthorized person had access to my account on my favorite {service type} website or mobile app. |
RASSETS.RAS02. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | There would be high potential for loss associated with an unauthorized person having access to my account on my favorite {service type} website or mobile app. |
RASSETS.RAS03. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | There would be too much uncertainty if an unauthorized person had access to my account on my favorite {service type} website or mobile app. |
RASSETS.RAS04. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | If an unauthorized person were to gain access to my account on my favorite {service type} website or mobile app, it would involve many unexpected problems. |
RASSETS.RAS05. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | I would feel safe even if an unauthorized person had access to my account on my favorite {service type} website or mobile app. |
Construct to measure trust in the appropriate handling of biometric data by a website or app provider.
Naresh K Malhotra, Sung S Kim, and James Agarwal. 2004. Internet Users’
Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal
Model. Information Systems Research 15, 4 (2004), 336–355.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
RTPROV.TP01. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | The provider of my favorite {service type} website or mobile app would be trustworthy in handling biometric data. |
RTPROV.TP02. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | The provider of my favorite {service type} website or mobile app would tell the truth and fulfill promises related to biometric data provided by me. |
RTPROV.TP03. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | I trust that the provider of my favorite {service type} website or mobile app would keep my best interests in mind when dealing with my biometric traits. |
RTPROV.TP04. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | The provider of my favorite {service type} website or mobile app is in general predictable and consistent regarding the usage of my biometric traits. |
RTPROV.TP05. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | The provider of my favorite {service type} website or mobile app is always honest with customers when it comes to using biometric traits that I would provide. |
Construct to measure risk related to the disclosure of biometric traits for continuous authentication to a website or app provider.
Naresh K Malhotra, Sung S Kim, and James Agarwal. 2004. Internet Users’
Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal
Model. Information Systems Research 15, 4 (2004), 336–355.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
RTPROV.RP01. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | In general, it would be risky to give my biometric traits to the provider of my favorite {service type} website or mobile app. |
RTPROV.RP02. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | There would be high potential for loss associated with giving my biometric traits to the provider of my favorite {service type} website or mobile app. |
RTPROV.RP03. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | There would be too much uncertainty associated with giving my biometric traits to the provider of my favorite {service type} website or mobile app. |
RTPROV.RP04. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | Providing the provider of my favorite {service type} website or mobile app with my biometric traits would involve many unexpected problems. |
RTPROV.RP05. | ordinale | 1 (Strongly disagree) - 7 (Strongly agree), 0 = prefer not to answer | I would feel safe giving my biometric traits to the provider of my favorite {service type} website or mobile app. |
Construct to measure the susceptibility of unauthorized access to a website or mobile app.
Johnston and Warkentin. 2010. Fear Appeals and Information Security Behav-
iors: An Empirical Study. MIS Quarterly 34, 3 (2010), 549.
Column Name | Scale of Measure | Scale Range | Item |
---|---|---|---|
SUSCEP.SAS01. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | My account on my favorite {service type} website or mobile app is at risk to be accessed by an unauthorized person. |
SUSCEP.SAS02. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | It is likely that my account on my favorite {service type} website or mobile app gets accessed by an unauthorized person. |
SUSCEP.SAS03. | ordinale | 1 (Strongly disagree) - 5 (Strongly agree), 0 = prefer not to answer | It is possible that my account on my favorite {service type} website or mobile app gets accessed by an unauthorized person. |
Column Name | Description | Scale of Measure |
---|---|---|
Highest.education.level.completed | Highest education level | ordinale |
Household.income. | Annual houshold income | ordinale |
Age | Age | metric |
Sex | Sex | nominal |
Ethnicity.simplified | Ethnicity | nominal |
Country.of.residence | Country of residience | nominal |
Nationality | Nationality | nominal |
Language | Primary language | nominal |