Extending the Technology Acceptance Model to Adopting ECG Wearable Authentication Devices

T. Thomas Lahoud, Pace University


The availability, affordability and pervasiveness of mobile and wearable devices is at an all-time high. New applications are constantly being developed and deployed to increase the functionality and usefulness of wearable devices in order to enhance and improve quality-of-life areas such as communications, workplace productivity, electronic commerce, personal fitness, and healthcare. At the same time, the increasing magnitude of security breaches, including sophisticated hacking methods, ransomware, malware and phishing attacks, have reached alarming levels. Fortune 500 companies and government institutions are at the forefront of such breaches. In most incidents, Personally Identifiable Information (PII) was compromised, such as login credentials, credit card information and healthcare records (Berghel, 2017; Bonner, 2012; Armerding, 2018). In spite of the availability of tools to protect our records, such as the use of multi-factor authentication protocols, possession protocols, or inherence protocols, the threat remains persistent. My research will attempt to understand how the workplace and societal perceptions of wearable ECG-based authentication will ultimately impact how readily a new form of mobile technology will be adopted within the workplace. The framework of this research is based on extending the Technology Acceptance Model into ECG-based wearable authentication devices in order to define and evaluate whether such devices will be accepted and used to the extent possible to prevent fraudulent activities by validating identity, granting access or authorizing usage. Furthermore, this research will gather data from participants in a field study, irrespective of their demographic profile so as to gain insights into user-specific perceptions of interacting with an ECG-based wearable form of technology and will assess the users’ perceptions of the technology as it relates to ease of use, perceived usefulness and the workplace factors that influence usage decisions. A theoretical model featuring 12 hypotheses was developed and tested against the empirical data collected using a survey instrument. A measurement model was established using structural equation modelling with partial least squares to validate the hypotheses. Findings of this research confirmed the hypotheses suggesting that the Technology Acceptance Model indeed offers a suitable, robust and predictive framework for the acceptance of ECG-based wearable authentication devices in the workplace.

Subject Area

Computer science|Information science|Theoretical Mathematics

Recommended Citation

Lahoud, T. Thomas, "Extending the Technology Acceptance Model to Adopting ECG Wearable Authentication Devices" (2019). ETD Collection for Pace University. AAI22622899.



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