Latest papers from Srishti Palani
Decision-making requires examining underlying assumptions and concepts, considering diverse perspectives, and weighing potential consequences with clear, accurate reasoning. Recent large language models (LLMs) show promise for assisting decision-makers by combining reasoning capabilities with the ability to retrieve r…
Conversational interfaces are increasingly used for data analysis, enabling data workers to express complex analytical intents in natural language. Yet, these interactions unfold as long, linear transcripts that are misaligned with the iterative, nonlinear nature of real-world analyses. Revisiting and summarizing conv…
Large Language Models (LLMs) are transforming Conversational Visual Analytics (CVA) by enabling data analysis through natural language. However, evaluating LLMs for CVA remains a challenge: requiring programming expertise, overlooking real-world complexity, and lacking interpretable metrics for multi-format (visualiza…
Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that could constrain their ability to write prompts that effectively explore a product design space. To understand how experts explore and commun…
https://hci.top/en/authors/15797?source=all