Human Computer Interaction
Explore our Research Topics
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Julie Ancis |
Research Areas: Cyberpsychology, human-computer interaction, tailored social media messaging, disinformation, bias Social and Behavioral Impacts of Online Information The informational landscape and how individuals and groups engage with this information has implications for a broad range of human behaviors. Using qualitative and quantitative approaches grounded in psychology and computing, we analyze how both the text and visual components of social media messages are constructed to convey information about issues ranging from health crises to critical societal events. Our research investigates the impact of these messages on risk perception, decision making, proactive health behaviors, civil discourse, and bias. This work has four major foci: 1. The evaluation of tailored and targeted online messaging. 2. Its impact on psychological processes and human behavior. 3. Development of culturally informed online information and messages to enable adaptive behavior. 4. Testing the psychological and behavioral impact of culturally relevant messaging on perceptions and intentions. |
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Mark Cartwright
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Research Areas: Machine listening, interactive machine learning, human-computer interaction, audio processing, music information retrieval Tools for Accessible Sound Understanding and Creation Sound is all around us and in the media we consume. However, for the roughly 1 in 5 people who are to some degree deaf or hard of hearing (DHH), the information contained in this medium is not always accessible. In this project, we aim both to develop tools to increase the accessibility of information contained in sound and to develop tools to make the creation of audio artifacts more accessible.
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Aritra Dasgupta |
Research Areas: Information visualization, human-centered data science, science communication NJIT’s Intelligible Information Visualization Lab (NiiV) As George Bernard Shaw so eloquently said: “The single biggest problem in communication is the illusion that it has taken place.” This is so evident in today’s age, where information, if communicated properly, can cure diseases and fuel discoveries, but, if miscommunicated, can lead to an “infodemic” in the worst-case scenario. To solve this conundrum, at NiiV, we pursue intelligibility as the foundational principle for making information more accessible, meaningful and actionable to domain experts (e.g., doctors, climate scientists, policy-makers, etc.) and non-experts alike. We operationalize this principle by visualizing data, big or small, with the ultimate goal of letting human observers see, understand and trust the information that is often generated by black-box algorithms. By embracing a human-centered data science approach that ultimately culminates in interactive visual analytic interfaces, we preserve the best of both worlds: the power of computational methods and that of human judgment and reasoning. Our research has been supported by grants from the National Science Foundation (NSF) and the U.S. Department of Energy. |
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Amy Hoover |
Research Areas: Optimization Methods in Quality Diversity While many optimization techniques in evolutionary computation maximize fitness with respect to one or more objectives, often such searches restrict the set of candidate solutions to those with objective values lying along the Pareto front of optimality. Instead, algorithms in Quality Diversity (QD) fully explore these objectives by specifying them explicitly as dimensions (called behavioral characteristics) that are characterized by their genomic, phenotypic, or behavioral traits. Such exploration can not only generate a large collection of high-performing solutions, but with well-chosen dimensions can potentially find higher performing solutions than pure- objective based searches alone. |
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Sooyeon Lee |
Research Areas: Human-computer interaction, accessibility, human-AI interaction Design and Evaluation of Accessible AI Technologies for Users with Disabilities Over one billion people in the world live with some type of disability. Many of them experience barriers in accessing information or using technologies, which can limit social interactions in both physical and digital spaces. Our work investigates the diversity of users, explores |
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Yvette Wohn |
Research Areas: Human-computer interaction, social media, digital economy Social Media Content Moderation You may think the Internet is filled with bad content, but things would be much worse if not for the invisible work of armies of people who try to keep the Internet a pleasant space. Supported by the National Science Foundation, this work focuses on the work of content moderators on various social media platforms and understanding how to develop and maintain safe spaces online. New Digital Economies The metaverse may seem like a new phenomenon but research on virtual spaces has been going on for decades. In this research, we focus on systems with novel digital economies in virtual environments that have unique digital currency, such as online games and digital patronage systems. Our research examines spending behaviors and exchange patterns of virtual goods in games and other alternative financial platforms and how these activities are tied with creative content generation. Fandom and Online Communities This project examines how fans around the world use social media to engage in various collective action, including charity projects and political activism. |
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