Author ORCID Identifier
0000-0002-0890-7390
Document Type
Dissertation
Date of Award
5-31-2024
Degree Name
Doctor of Philosophy in Information Systems - (Ph.D.)
Department
Informatics
First Advisor
Jerry Fjermestad
Second Advisor
Jorge Eduardo Fresneda Fernandez
Third Advisor
Julie Rachel Ancis
Fourth Advisor
Frank Biocca
Fifth Advisor
Kaveh Abhari
Abstract
Deep and machine learning now offer immense benefits for consumer choice, decision-making, medicine, mental health and education, smart cities, and intelligent transportation and driver safety. However, as communication and Internet technology further advances, these benefits have the potential to be outweighed by compromises to privacy, personal freedom, consumer trust, and discrimination. While ethical consequences for personal freedom and equity rise from these technological advances, the issue may not be the technology itself but a lack of regulation and policy that allow abuses to occur. A first study examines how emerging sensor-based technologies, limited to only accelerometer and gyroscope data from common consumer smartphones, recognize transit activity, with exceptional accuracy and far-reaching potential for societal and business applications. Next, a second study analyzes under what circumstances might consumer concerns over data privacy on their smartphone app lead to changes in consumer sentiment, and could lead to the intent to delete or disuse the app, even when those apps that may directly benefit people's own health. Overall, these studies both explore the ability of everyday devices to elicit real-time personal physiological data, and then when such data, if breached might have consequences to consumer trust and consumer concerns related to the use or disuse of an app.
Recommended Citation
Eisenberg, David, "Sensing with integrity: responsible sensor systems in an era of ai" (2024). Dissertations. 1764.
https://digitalcommons.njit.edu/dissertations/1764
Included in
Artificial Intelligence and Robotics Commons, Business Law, Public Responsibility, and Ethics Commons, Management Information Systems Commons, Marketing Commons
