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Author: 6549

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Participatory Design to Address Disclosure-Based Cyberbullying

Disclosure-based cyberbullying is defined as sharing personal in- formation without consent, often with malicious intentions. This affects young adults and leads to long-term personal damage (i.e., career, reputation, and family). Current strategies on social media platforms fall short of addressing this problem. We e…

Sadiq Aliyu et al.University of Lausanne

"I Know I'm Being Observed:" Video Interventions to Educate Users about Targeted Advertising on Facebook

Recent work explores how to educate and encourage users to protect their online privacy. We tested the efficacy of short videos for educating users about targeted advertising on Facebook. We designed a video that utilized an emotional appeal to explain risks associated with targeted advertising (fear appeal), and whic…

Garrett Smith et al.Brigham Young University

Teaching Middle Schoolers about the Privacy Threats of Tracking and Pervasive Personalization: A Classroom Intervention Using Design-Based Research

With the pervasive and evolving use of tracking and AI to make inferences about online platform users, it has become imperative for adolescents---a key demographic using such platforms---to develop a deep understanding of these practices to protect their privacy. Traditionally, K-12 cybersecurity education has largely…

Sushmita Khan et al.Clemson University

Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender System

A growing organizational trend is to utilize ad-hoc team formation which allows for teams to intentionally form based on the member skills required to accomplish a specific task. Due to the unfamiliar nature of these teams, teammates are often limited by their understanding of one another (e.g., teammate preferences,…

Geoff Musick et al.Clemson University

Teams

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Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules

Machine learning technologies are increasingly being applied in many different domains in the real world. As autonomous machines and black-box algorithms begin making decisions previously entrusted to humans, great academic and public interest has been spurred to provide explanations that allow users to understand the…

Lijie Guo et al.Clemson University

Many Islands, Many Problems: An Empirical Examination of Online Safety Behaviors in the Caribbean

Little is known about non-Western social media users' motivations for adopting behaviors that protect them against pervasive threats to their privacy, security, and personal well-being. Drawing on Rogers' Protection Motivation Theory (PMT), this survey study explores Caribbean people’s (N=551) perceptions of safety th…

Daricia Wilkinson et al.Arizona State University

Permission vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management

We conducted a user study with 380 Android users, profiling them according to two key privacy behaviors: the number of apps installed and the Dangerous permissions granted to those apps. We identified four unique privacy profiles: 1) Privacy Balancers (49.74% of participants), 2) Permission Limiters (28.68% ), 3) App…

Ashwaq Alsoubai et al.University of Central Florida

The Differential Effect of Privacy-Related Trust on Groupware Application Adoption and Use during the COVID-19 pandemic

The COVID-19 pandemic lockdown lead to the rapid adoption and use of various groupware applications(“apps”) for remote connection with colleagues, friends, and family. Different factors such as user experiences, trust, and social influences (“user-situational motivations”) were instrumental in determining how and wha…

Moses Namara et al.Clemson University

Privacy and Trust

Using Intersectional Representation & Embodied Identification in Standard Video Game Play to Reduce Societal Biases

While virtual character embodiment has been studied as a mitigator of singular societal biases in fully immersive VR and empathy games, there have been no major studies on representation featuring standard game play or intersectional identities. In our study, participants played a short 2D video game with racial and g…

Marie Jarrell et al.Clemson University

Pragmatic Tool vs. Relational Hindrance: Exploring Why Some Social Media Users Avoid Privacy Features

Social media privacy features can act as a mechanism for regulating interpersonal relationships, but why do some people not use these features? Through an interview study of 56 social media users, we found two high-level perspectives towards social media and privacy that affected attitudes towards and usage of privacy…

Xinru Page et al.Bentley University

Privacy and Security

A Data-Driven Approach to Developing IoT Privacy-Setting Interfaces

User testing is often used to inform the development of user interfaces (UIs). But what if an interface needs to be developed for a system that does not yet exist? In that case, existing datasets can provide valuable input for UI development. We apply a data-driven approach to the development of a privacy-setting inte…

Bart Knijnenburg et al.Clemson University

Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos

Current collaborative photo privacy protection solutions can be categorized into two approaches: controlling the recipient, which restricts certain viewers' access to the photo, and controlling the content, which protects all or part of the photo from being viewed. Focusing on the latter approach, we introduce privacy…

Yifang Li et al.Clemson University

Privacy and Security

Paper Title	Authors	Research Topics
Participatory Design to Address Disclosure-Based Cyberbullying Disclosure-based cyberbullying is defined as sharing personal in- formation without consent, often with malicious intentions. This affects young adults and leads to long-term personal damage (i.e., career, reputation, and family). Current strategies on social media platforms fall short of addressing this problem. We e…	SA Sadiq Aliyu et al.University of Lausanne
emoji_events "I Know I'm Being Observed:" Video Interventions to Educate Users about Targeted Advertising on Facebook Recent work explores how to educate and encourage users to protect their online privacy. We tested the efficacy of short videos for educating users about targeted advertising on Facebook. We designed a video that utilized an emotional appeal to explain risks associated with targeted advertising (fear appeal), and whic…	GS Garrett Smith et al.Brigham Young University
Teaching Middle Schoolers about the Privacy Threats of Tracking and Pervasive Personalization: A Classroom Intervention Using Design-Based Research With the pervasive and evolving use of tracking and AI to make inferences about online platform users, it has become imperative for adolescents---a key demographic using such platforms---to develop a deep understanding of these practices to protect their privacy. Traditionally, K-12 cybersecurity education has largely…	SK Sushmita Khan et al.Clemson University
Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender System A growing organizational trend is to utilize ad-hoc team formation which allows for teams to intentionally form based on the member skills required to accomplish a specific task. Due to the unfamiliar nature of these teams, teammates are often limited by their understanding of one another (e.g., teammate preferences,…	GM Geoff Musick et al.Clemson University	Teams
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules Machine learning technologies are increasingly being applied in many different domains in the real world. As autonomous machines and black-box algorithms begin making decisions previously entrusted to humans, great academic and public interest has been spurred to provide explanations that allow users to understand the…	LG Lijie Guo et al.Clemson University
Many Islands, Many Problems: An Empirical Examination of Online Safety Behaviors in the Caribbean Little is known about non-Western social media users' motivations for adopting behaviors that protect them against pervasive threats to their privacy, security, and personal well-being. Drawing on Rogers' Protection Motivation Theory (PMT), this survey study explores Caribbean people’s (N=551) perceptions of safety th…	DW Daricia Wilkinson et al.Arizona State University
Permission vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management We conducted a user study with 380 Android users, profiling them according to two key privacy behaviors: the number of apps installed and the Dangerous permissions granted to those apps. We identified four unique privacy profiles: 1) Privacy Balancers (49.74% of participants), 2) Permission Limiters (28.68% ), 3) App…	AA Ashwaq Alsoubai et al.University of Central Florida
The Differential Effect of Privacy-Related Trust on Groupware Application Adoption and Use during the COVID-19 pandemic The COVID-19 pandemic lockdown lead to the rapid adoption and use of various groupware applications(“apps”) for remote connection with colleagues, friends, and family. Different factors such as user experiences, trust, and social influences (“user-situational motivations”) were instrumental in determining how and wha…	MN Moses Namara et al.Clemson University	Privacy and Trust
Using Intersectional Representation & Embodied Identification in Standard Video Game Play to Reduce Societal Biases While virtual character embodiment has been studied as a mitigator of singular societal biases in fully immersive VR and empathy games, there have been no major studies on representation featuring standard game play or intersectional identities. In our study, participants played a short 2D video game with racial and g…	MJ Marie Jarrell et al.Clemson University
Pragmatic Tool vs. Relational Hindrance: Exploring Why Some Social Media Users Avoid Privacy Features Social media privacy features can act as a mechanism for regulating interpersonal relationships, but why do some people not use these features? Through an interview study of 56 social media users, we found two high-level perspectives towards social media and privacy that affected attitudes towards and usage of privacy…	XP Xinru Page et al.Bentley University	Privacy and Security
A Data-Driven Approach to Developing IoT Privacy-Setting Interfaces User testing is often used to inform the development of user interfaces (UIs). But what if an interface needs to be developed for a system that does not yet exist? In that case, existing datasets can provide valuable input for UI development. We apply a data-driven approach to the development of a privacy-setting inte…	BK Bart Knijnenburg et al.Clemson University
Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos Current collaborative photo privacy protection solutions can be categorized into two approaches: controlling the recipient, which restricts certain viewers' access to the photo, and controlling the content, which protects all or part of the photo from being viewed. Focusing on the latter approach, we introduce privacy…	YL Yifang Li et al.Clemson University	Privacy and Security