54 citations · 168 across the 17 of their papers we have counts for
17 papers
Cohort-based Semantic Labeling: AI-Enabled Recovery of Visualization Semantics from Deployed SVGs
Jeongah Lee, Hima Varshini Surisetty, Durga Nirmaleswaran +4
Many web-based visualizations are deployed as Scalable Vector Graphics (SVG), a format that faithfully preserves visual appearance but typically omits the higher-level semantic str…
Investigating How Music Affects Persuasion, Engagement, and Emotion in Data Videos
Sarmistha Sarna Gomasta, Mahmood Jasim, Hossein Hadisi +4
Data videos have become a prominent vessel for communicating data to broad audiences, and a common object of study in information visualization. Many of these videos include music,…
Beyond the Prototype: Challenges of Long-Term Integration of Visual Analytics in Civic Spaces
Mahmood Jasim, Narges Mahyar
Despite the recognized benefits of visual analytics systems in supporting data-driven decision-making, their deployment in real-world civic contexts often faces significant barrier…
AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal +6
Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While v…
Harnessing Visualization for Climate Action and Sustainable Future
Narges Mahyar
The urgency of climate change is now recognized globally. As humanity confronts the critical need to mitigate climate change and foster sustainability, data visualization emerges a…
Reimagining Data Visualization to Address Sustainability Goals
Narges Mahyar
Information visualization holds significant potential to support sustainability goals such as environmental stewardship, and climate resilience by transforming complex data into ac…
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu +4
Differential privacy (DP) has the potential to enable privacy-preserving analysis on sensitive data, but requires analysts to judiciously spend a limited ``privacy loss budget'' $ε…
From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision Making
Emre Oral, Ria Chawla, Michel Wijkstra +2
In the face of complex decisions, people often engage in a three-stage process that spans from (1) exploring and analyzing pertinent information (intelligence); (2) generating and…
How Data Scientists Review the Scholarly Literature
Sheshera Mysore, Mahmood Jasim, Haoru Song +3
Keeping up with the research literature plays an important role in the workflow of scientists - allowing them to understand a field, formulate the problems they focus on, and devel…
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Pantea Haghighatkhah, Mennatallah El-Assady, Jean-Daniel Fekete +4
Current visual text analysis approaches rely on sophisticated processing pipelines. Each step of such a pipeline potentially amplifies any uncertainties from the previous step. To…
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper
Kostiantyn Kucher, Nicole Sultanum, Angel Daza +5
Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languag…
ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives
Abram Handler, Narges Mahyar, Brendan O'Connor
Historians and archivists often find and analyze the occurrences of query words in newspaper archives, to help answer fundamental questions about society. But much work in text ana…
Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions
Mahmood Jasim, Christopher Collins, Ali Sarvghad +1
In this study, we investigate how supporting serendipitous discovery and analysis of online product reviews can encourage readers to explore reviews more comprehensively prior to m…
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization
Alyxander Burns, Thai On, Christiana Lee +3
Accompanying a data visualization with metadata may benefit readers by facilitating content understanding, strengthening trust, and providing accountability. However, providing thi…
Example-Driven User Intent Discovery: Empowering Users to Cross the SQL Barrier Through Query by Example
Anna Fariha, Lucy Cousins, Narges Mahyar +1
Traditional data systems require specialized technical skills where users need to understand the data organization and write precise queries to access data. Therefore, novice users…
CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
Mahmood Jasim, Pooya Khaloo, Somin Wadhwa +3
Local governments still depend on traditional town halls for community consultation, despite problems such as a lack of inclusive participation for attendees and difficulty for civ…
How to evaluate data visualizations across different levels of understanding
Alyxander Burns, Cindy Xiong, Steven Franconeri +2
Understanding a visualization is a multi-level process. A reader must extract and extrapolate from numeric facts, understand how those facts apply to both the context of the data a…