214 citations · 337 across the 26 of their papers we have counts for
27 papers
SkillPE: Creativity-Oriented Cinematic Skill Evolution for Text-to-Video Prompt Engineering
Yanwei Huang, Mingxuan Zhu, Shujie Li +3
Achieving high-quality, cinematic results in text-to-video generation remains challenging for non-experts, whose prompts often lack professional narrative and creative design. We p…
How Do Professional Editors Evaluate the Editing Quality of AI-Generated Cinematic Video Ads?
Po-Ming Law, Weizhi Li, Arpit Narechania
On social media, we often encounter short-form video ads that employ cinematic editing techniques to evoke an emotional response. While AI tools are beginning to generate such cine…
Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles
Nguyen-Truong Thinh, Yuxuan Du, Phongsakon Mark Konrad +1
Data-driven journalism and policy reports frequently rely on statements grounded in statistical evidence, referred to as data claims. Verifying such a claim requires connecting it…
PoseForge: Editable Pose Analytics for AI-Assisted Sports Coaching
Shuvam Swapnil Dash, Arpit Narechania
Athletic coaching increasingly relies on video analysis, yet raw footage lacks tools to quantify motion or simulate valid technique corrections. Drawing on formative interviews wit…
From Interaction to Intent: Inferring User Objectives from Provenance Logs
Steffen Holter, Tobias Stähle, Arpit Narechania +1
The ability to automatically infer analytic intent from user interaction histories could enable interactive AI systems to proactively assist users during exploratory data analysis.…
SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements
Antariksh Verma, Kaustubh Odak, Arpit Narechania
ProvenanceWidgets is an existing JavaScript library that tracks the recency and frequency of user interactions with individual UI controls (e.g., range sliders and dropdowns) and d…
Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate
Haichang Li, Anjun Zhu, Arpit Narechania
In real-world collaboration, alignment, process structure, and outcome quality do not exhibit a simple linear or one-to-one correspondence: similar alignment may accompany either r…
Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
Jianheng Ouyang, Arpit Narechania
As conversational AI systems become popular for information retrieval and question-answering, the references they cite are key to ensuring their answers are reliable and trustworth…
Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek
Yanwei Huang, Arpit Narechania
Web AI agents such as ChatGPT Agent and GenSpark are increasingly used for routine web-based tasks, yet they still rely on text-based input prompts, lack proactive detection of use…
A Design Space for Intelligent Agents in Mixed-Initiative Visual Analytics
Tobias Stähle, Matthijs Jansen op de Haar, Sophia Boyer +3
Mixed-initiative visual analytics (VA) systems, where human and artificial intelligence (AI) agents collaborate as equal partners during analysis, represented a paradigm shift in h…
Exploropleth: exploratory analysis of data binning methods in choropleth maps
Arpit Narechania, Alex Endert, Clio Andris
When creating choropleth maps, mapmakers often bin (i.e., group, classify) quantitative data values into groups to help show that certain areas fall within a similar range of value…
Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
Yanwei Huang, Wesley Hanwen Deng, Sijia Xiao +4
Despite their increasing capabilities, text-to-image generative AI systems are known to produce biased, offensive, and otherwise problematic outputs. While recent advancements have…
Agentic Enterprise: AI-Centric User to User-Centric AI
Arpit Narechania, Alex Endert, Atanu R Sinha
After a very long winter, the Artificial Intelligence (AI) spring is here. Or, so it seems over the last three years. AI has the potential to impact many areas of human life - pers…
Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens
Arpit Narechania, Shunan Guo, Eunyee Koh +2
Analytic provenance can be visually encoded to help users track their ongoing analysis trajectories, recall past interactions, and inform new analytic directions. Despite its signi…
Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations
Arpit Narechania, Alex Endert, Clio Andris
Choropleth maps are a common and effective way to visualize geographic thematic data. Although cartographers have established many principles about map design, data binning and col…
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis
Arpit Narechania, Alex Endert, Atanu R Sinha
The progress in generative AI has fueled AI-powered tools like co-pilots and assistants to provision better guidance, particularly during data analysis. However, research on guidan…
Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models
Subham Sah, Rishab Mitra, Arpit Narechania +3
Recently, large language models (LLMs) have shown great promise in translating natural language (NL) queries into visualizations, but their "black-box" nature often limits explaina…
vitaLITy 2: Reviewing Academic Literature Using Large Language Models
Hongye An, Arpit Narechania, Emily Wall +1
Academic literature reviews have traditionally relied on techniques such as keyword searches and accumulation of relevant back-references, using databases like Google Scholar or IE…
ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance
Arpit Narechania, Kaustubh Odak, Mennatallah El-Assady +1
We present ProvenanceWidgets, a Javascript library of UI control elements such as radio buttons, checkboxes, and dropdowns to track and dynamically overlay a user's analytic proven…
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
Arpit Narechania, Fan Du, Atanu R Sinha +6
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) qual…
Facilitating Conversational Interaction in Natural Language Interfaces for Visualization
Rishab Mitra, Arpit Narechania, Alex Endert +1
Natural language (NL) toolkits enable visualization developers, who may not have a background in natural language processing (NLP), to create natural language interfaces (NLIs) for…
VitaLITy: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics
Arpit Narechania, Alireza Karduni, Ryan Wesslen +1
There are a few prominent practices for conducting reviews of academic literature, including searching for specific keywords on Google Scholar or checking citations from some initi…
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases
Emily Wall, Arpit Narechania, Adam Coscia +2
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognit…
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis
Arpit Narechania, Adam Coscia, Emily Wall +1
Visual data analysis tools provide people with the agency and flexibility to explore data using a variety of interactive functionalities. However, this flexibility may introduce po…