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Rezvan Joshaghani

dblp:212/1142 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2026
0000-0001-7045-1585ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 77% Health and well-being technologies · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
immersive learning
1.012026
XR Module for Enhancing Glove Hygiene Skills in First-Year Chemistry Laboratories · IEEE Trans. Vis. Comput. Graph. 2026
Health and well-being technologies › mental health › mental healthcare
anxiety reduction
0.312026
XR Module for Enhancing Glove Hygiene Skills in First-Year Chemistry Laboratories · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

user study · 1.0
YearPublicationVenuePosition
2026 XR Module for Enhancing Glove Hygiene Skills in First-Year Chemistry Laboratories
abstract
Extended Reality (XR) technologies offer innovative opportunities to address inequities in laboratory preparation among first-year undergraduate chemistry students, particularly benefiting students from under-served communities. This study presents the development and evaluation of an immersive XR module specifically designed to teach glove hygiene, a critical laboratory safety skill frequently overlooked in traditional high school curricula due to resource constraints. Involving 176 student test cases across diverse institutions, this module integrates active learning and inclusive, equity-driven design principles. A previously piloted VR glove hygiene module revealed significant student enthusiasm but encountered challenges related to nausea during immersive experiences. Addressing this, our refined XR module employs practices for nausea reduction, providing an accessible virtual lab environment with interactive glove hygiene simulations. Preliminary evaluations indicate substantial improvements in students' confidence, reduction in laboratory-related anxiety, and increased engagement, highlighting XR's potential to close preparation gaps. This work underscores the broader impact of XR interventions in STEM education, fostering greater retention and success for underrepresented and first-generation college students.
Rezvan Joshaghani, Alessandra Winters, Yanyan Zong, Steve Cutchin
IEEE Trans. Vis. Comput. Graph.1
2019 Anon what what?: Children's Understanding of the Language of Privacy
abstract
Internet usage continues to increase among children ages 12 and younger. Because their digital interactions can be persistently stored, there is a need for building an understanding and foundational knowledge of privacy. We describe initial investigations into children's understanding of privacy from a Contextual Integrity (CI) perspective by conducting semi-structured interviews. We share results -- that echo what others have shown -- that indicate children have limited knowledge and understanding of CI principles. We also share an initial exploration of utilizing participatory design theater as a possible educational mechanism to help children develop a stronger understanding of important privacy principles.
Stacy Black, Rezvan Joshaghani, Dhanush kumar Ratakonda, Hoda Mehrpouyan, Jerry Alan Fails
IDC2
2019 Formal specification and verification of user-centric privacy policies for ubiquitous systems
abstract
As our society has become more information oriented, each individual is expressed, defined, and impacted by information and information technology. While valuable, the current state-of-the-art mostly are designed to protect the enterprise/ organizational privacy requirements and leave the main actor, i.e., the user, un-involved or with the limited ability to have control over his/her information sharing practices. In order to overcome these limitations, algorithms and tools that provide a user-centric privacy management system to individuals with different privacy concerns are required to take into the consideration the dynamic nature of privacy policies which are constantly changing based on the information sharing context and environmental variables. This paper extends the concept of contextual integrity to provide mathematical models and algorithms that enables the creations and management of privacy norms for individual users. The extension includes the augmentation of environmental variables, i.e. time, date, etc. as part of the privacy norms, while introducing an abstraction and a partial relation over information attributes. Further, a formal verification technique is proposed to ensure privacy norms are enforced for each information sharing action.
Rezvan Joshaghani, Stacy Black, Elena Sherman, Hoda Mehrpouyan
IDEAS1