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Found 10 papers, 0 papers with code
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
The field of Multimodal Large Language Models (MLLMs) has made remarkable progress in visual understanding tasks, presenting a vast opportunity to predict the perceptual and emotional impact of charts.
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
In this work, we research user preferences to see a chart, table, or text given a question asked by the user.
LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education.
RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
RECIPE4U includes comprehensive records of these interactions, including conversation logs, students' intent, students' self-rated satisfaction, and students' essay edit histories.
LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
In the context of English as a Foreign Language (EFL) writing education, LLM-as-a-tutor can assist students by providing real-time feedback on their essays.
ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
We analyze students' usage patterns and perceptions regarding generative AI with respect to their intent and satisfaction.
Insight-centric Visualization Recommendation
This global ranking makes it difficult and time-consuming for users to find the most interesting or relevant insights.
Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback.
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Finally, we observed a strong preference by the human experts in our user study towards the visualizations recommended by our ML-based system as opposed to the rule-based system (5. 92 from a 7-point Likert scale compared to only 3. 45).
Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Topic Labels
Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes.
