14 papers
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…