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. 2025 May 30;9:e74401. doi: 10.2196/74401

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©Junichi Fujita, Mizuho Takayama, Emi Kamono, Satoru Shinoda, Hiroyuki Yamaguchi, Tomoko Moroga, Mio Ishii, Tomoyuki Miyazaki. Originally published in JMIR Formative Research (https://formative.jmir.org), 30.05.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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Quantitative analysis of emotional expression patterns. Temporal distribution of emotional expressions categorized by valence (positive/negative) across program stages. Frequencies represent word-level sentiment analysis of participant utterances. Scene (A) Cityscape shows predominantly positive expressions during initial interactions. Scene (B) Spaceship/Spaceport demonstrates increased emotional complexity with both positive and negative expressions. Scene (C) Moon reflects a shift toward resolution and hope. *Word frequency counts.