MIS Distinguished Speaker Series

Temple University

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Apr 22 – Joey George to present “Using Eye Tracking to Discover Why People Believe Disinformation about Healthcare”

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Using Eye Tracking to Discover Why People Believe Disinformation about Healthcare

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Joey George

The John D. DeVries Endowed Chair in Business
Distinguished Professor in Business
Ivy College of Business
Iowa State University

Friday, Apr 22
10:30 am – 12:00 pm
In-person: 1810 Liacouras Walk, Room 420

 

Abstract:

Disinformation – false information intended to cause harm or for profit – is pervasive. While disinformation exists in several domains, one area with the most potential for personal harm from disinformation is healthcare. The ongoing study described in this presentation seeks to determine what aspects of multimedia social network posts lead people to believe and potentially act on healthcare disinformation. The study has two parts: one online and one in our neuroscience laboratory. In both parts, study participants viewed a series of false social media posts dealing with various aspects of healthcare. They were asked to determine if the posts were true or false and then to provide the reasoning behind their choices. In the second part of the study, participant gaze was captured through eye tracking technology. This approach has the potential to discover the elements of disinformation that help convince the viewer a given post is true. In the long term, it is hoped that these discoveries will lead to the development of interventions that will discourage people from acting on healthcare related disinformation.

Bio:

Joey F. George is the John D. DeVries Endowed Chair in Business and a Distinguished Professor in Business at Iowa State University. He earned a bachelor’s degree at Stanford University and a doctorate at the University of California Irvine. His research interests focus on deceptive computer-mediated communication. He is a past president of the Association for Information Systems (AIS), a Fellow of AIS, and in 2014, he was awarded the AIS LEO lifetime achievement award.

Nov 1 – Idris Adjerid to present “Consumer Consent and Firm Targeting after GDPR: The Case of a Large Telecom Provider”

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Consumer Consent and Firm Targeting after GDPR: The Case of a Large Telecom Provider

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Idris Adjerid

Associate Professor
Pamplin College of Business
Virginia Tech

Friday, November 1

10:30 – 12:00 pm | Speakman 200

Abstact:

The General Data Protection Regulation (GDRP) represents a dramatic shift in global privacy regulation. In this manuscript, we focus on the impact of GDPR’s enhanced consumer consent requirements that focus on transparent and active elicitation of data allowances. We evaluate the effect of enhanced consent on consumer opt-in behavior and firm targeting after consent is solicited. Utilizing an experiment at a large telecommunications provider with operations in Europe, we find that opt-in for different data types and uses increased once GDPR-compliant consent was elicited. We also find that firm targeting, revenue, and lock-in increased after consumer consent was elicited. Our analysis suggests that these gains to the firm are because of the ability to utilize more targeted marketing campaigns after consumers provide additional data allowances. Our results have significant implications for firms and policymakers and provide insights relevant to the emerging debate on the balance between consumer privacy protection and firms’ collection and use of personal information.

January 19 – Anthony Vance to Present “Using NeuroIS to Improve Security Warning Behavior”

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Using NeuroIS to Improve Security Warning Behavior

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Anthony Vance

Danny & Elsa Lui Distinguished Associate Professor in Information Technology Management
Shidler College of Business, University of Hawaiʻi at Mānoa
Associate Professor in Information Systems
Marriott School of Business, Brigham Young University

Friday, January 19, 2018

9:00 AM – 10:30 AM (Note that the time has changed)

Speakman Hall Suite 200

 

Abstract

A popular saying in information security is, “Given a choice between dancing pigs and security, users will pick dancing pigs every time.” However, this statement is unfair—insights from neuroscience show that users’ seemingly lazy or careless security behaviors are not necessarily careless at all, but are a natural consequence of how the brain works.

In this talk, I’ll show how neuroscience can be used to better understand users’ security warning behavior and design more usable security user interfaces (UI). To illustrate, I’ll share insights from a series of experiments that combine functional magnetic resonance imaging (fMRI), tracking and field experiments. The results reveal the substantial effect of neurobiology on users’ security warning behavior, and suggest practical ways to improve security UI.

Bio

Anthony Vance is the Danny & Elsa Lui Distinguished Associate Professor in the Information Technology Management Department at the Shidler College of Business of the University of Hawaiʻi at Mānoa, as well as Associate Professor of Information Systems at the Marriott School of Business of Brigham Young University. He earned Ph.D. degrees in Information Systems from Georgia State University, USA; the University of Paris— Dauphine, France; and the University of Oulu, Finland. His previous experience includes working as a security consultant at Deloitte and as a research professor in the Information Systems Security Research Center at the University of Oulu.

His research focuses on behavioral and neuroscience applications to information security. His work is published in outlets such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, European Journal of Information Systems, Journal of the American Society for Information Science and Technology, and Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI). He currently is an associate editor at MIS Quarterly and serves on the editorial board of Journal of the Association for Information Systems.

Research website:

https://neurosecurity.byu.edu

Blog posts summarizing the attached articles:

https://neurosecurity.byu.edu/misq-longitudinal-2018
https://neurosecurity.byu.edu/dti-isr