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