Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom

Fuente: arXiv
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Autores principales: Fälton, Emelie, Strömstedt, Isabelle, Brossier, Mathis, Göransson, Andreas, Schönborn, Konrad, Loutfi, Amy, Sunden, Erik, Jawad, Mujtaba Fadhil, Suleiman, Yadgar, Björklund, Johanna, Romero, Mario, Ynnerman, Anders, Besançon, Lonni
Formato: Preprint
Publicado: 2026
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author Fälton, Emelie
Strömstedt, Isabelle
Brossier, Mathis
Göransson, Andreas
Schönborn, Konrad
Loutfi, Amy
Sunden, Erik
Jawad, Mujtaba Fadhil
Suleiman, Yadgar
Björklund, Johanna
Romero, Mario
Ynnerman, Anders
Besançon, Lonni
author_facet Fälton, Emelie
Strömstedt, Isabelle
Brossier, Mathis
Göransson, Andreas
Schönborn, Konrad
Loutfi, Amy
Sunden, Erik
Jawad, Mujtaba Fadhil
Suleiman, Yadgar
Björklund, Johanna
Romero, Mario
Ynnerman, Anders
Besançon, Lonni
contents 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 expectations prior to interaction, interaction patterns during facilitated sessions, and children's reflections on their encounter afterward. Our results provide empirical insights into children's initial encounters with an LLM-enabled visualization platform within a classroom setting and their expectations, interactions, and evaluations of the system. These findings inform the technology's potential for educational use and highlight important directions for future research.
format Preprint
id arxiv_https___arxiv_org_abs_2601_11060
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom
Fälton, Emelie
Strömstedt, Isabelle
Brossier, Mathis
Göransson, Andreas
Schönborn, Konrad
Loutfi, Amy
Sunden, Erik
Jawad, Mujtaba Fadhil
Suleiman, Yadgar
Björklund, Johanna
Romero, Mario
Ynnerman, Anders
Besançon, Lonni
Human-Computer Interaction
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 expectations prior to interaction, interaction patterns during facilitated sessions, and children's reflections on their encounter afterward. Our results provide empirical insights into children's initial encounters with an LLM-enabled visualization platform within a classroom setting and their expectations, interactions, and evaluations of the system. These findings inform the technology's potential for educational use and highlight important directions for future research.
title Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom
topic Human-Computer Interaction
url https://arxiv.org/abs/2601.11060