Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom
Emelie F\"alton, Isabelle Str\"omstedt, Mathis Brossier, Andreas G\"oransson, Konrad Sch\"onborn, Amy Loutfi, Erik Sunden, Mujtaba Fadhil Jawad, Yadgar Suleiman, Johanna Bj\"orklund, Mario Romero, Anders Ynnerman, Lonni Besan\c{c}on

TL;DR
This study explores how primary school children interact with and evaluate an LLM-enabled spherical visualization platform in a classroom, providing insights into its educational potential and user expectations.
Contribution
It presents empirical findings on children's expectations, engagement, and evaluations of an LLM-augmented visualization system in a formal educational setting.
Findings
Children showed curiosity and positive engagement with the system.
Expectations included natural language interaction and visual explanations.
Children's evaluations highlighted both potential and areas for improvement.
Abstract
We present our first stage results from deploying an LLM-augmented visualization software in a classroom setting to engage primary school children with earth-related datasets. Motivated by the growing interest in conversational AI as a means to support inquiry-based learning, we investigate children's expectations, engagement, and evaluation of a spoken LLM interface with a shared, immersive visualization system in a formal educational context. Our system integrates a speech-capable large language model with an interactive spherical display. It enables children to ask natural-language questions and receive coordinated verbal explanations and visual responses through the LLM-augmented visualization updating in real time based on spoken queries. We report on a classroom study with Swedish children aged 9-10, combining structured observation and small-group discussions to capture…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Teaching and Learning Programming · Multimodal Machine Learning Applications
