Abstract
As complex societal issues continue to emerge, fostering democratic skills like valuing diverse perspectives and collaborative decision-making is increasingly vital in education. In this paper, we propose a Peer Agent (PA) system designed to simulate a deliberative conversational partner that induces socio-cognitive conflict within dilemma-based game play. Drawing on by the Inner Thoughts framework and grounded in value-sensitive discourse analysis, the PA actively participates in voice-based multi-party deliberation with human players. The system architecture consists of five core modules: Context Interpreter, Agent State Manager, Thought Generator, Thought Evaluator, and Thought Articulator.
| Original language | English |
|---|---|
| Title of host publication | UIST Adjunct 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology |
| Editors | Andrea Bianchi, Elena Glassman, Shengdong Zhao, Jeeeun Kim, Ian Oakley, Wendy E. Mackay |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9798400720369 |
| DOIs | |
| State | Published - 27 Sep 2025 |
| Event | 38th Annual ACM Symposium on User Interface Software and Technology, UIST 2025 - Busan, Korea, Republic of Duration: 28 Sep 2025 → 1 Oct 2025 |
Publication series
| Name | UIST Adjunct 2025 - Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology |
|---|
Conference
| Conference | 38th Annual ACM Symposium on User Interface Software and Technology, UIST 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 28/09/25 → 1/10/25 |
Bibliographical note
Publisher Copyright:© 2025 Copyright held by the owner/author(s).
Keywords
- Conversational Agent
- Human-AI Interaction
- Large Language Models
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