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Public dataset of the publication "Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection: An Empirical Investigation"

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Data description

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".

General

Column Name Description
Subject participant ID
Case survey condition

Biometric Traits

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).

Willingness to Disclose Biometric Traits

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)

Response Efficacy Related to Discolsure of Biometric Traits

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)

Risk Related to Discolsure of Biometric Traits

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)

SA-6

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.

IUIPC-8

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.

Risk Asset

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.

Trust Provider

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.

Risk Provider

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.

Susceptibility

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.

Demographics

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

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Public dataset of the publication "Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection: An Empirical Investigation"

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