arXiv cs.AI· Seunghyun Oh, Hirotaka Hiraki, Shuyue Stella Li, Yulia Tsvetkov, Shyamnath Gollakota·· 10 天前AI 评分34
Jarvis：面向多方对话的主动式语音智能体
Jarvis: A Proactive Speech Agent for Multi-Party Conversations
AI 导读
Jarvis 是一个实时主动式语音智能体，能参与多人对话，在群体遗漏或说错事实且数轮内未自我纠正时出声介入。它基于事先共享的文档，用小型开放权重模型配合确定性检查，并将每条论断锚定到原文句子。在 CHI-180-proactive 数据集上，Jarvis 对多数介入事件判断正确，群体自行解决问题时 97% 的情况下保持沉默；23 人实时研究验证了该趋势。
正文 · 原文
Abstract:Speech agents are reactive and dyadic: they speak when spoken to, and to one person at a time. We ask what it takes for a speech agent to instead take part in a conversation among several people and speak up only when it can help. We introduce Jarvis, a real-time proactive speech agent that audibly participates in multi-party human conversations. Grounded in a document shared beforehand, Jarvis follows the discussion and intervenes when the group misses or misstates a fact and does not correct itself within a few turns. We make three contributions: a problem setting based on epistemic breakdowns that makes proactive intervention measurable, realized as CHI-180-proactive, a synthetic multi-party dataset seeded with known gaps, errors, and self-corrections; a proactive backbone that harnesses a small, open-weight model with deterministic checks and grounds every claim in a source sentence; and interaction techniques for taking the floor in live speech and showing the cited evidence on screen. On CHI-180-proactive, Jarvis is correct on most events it addresses and stays silent 97% of the time when the group resolves an issue itself. A live study with 23 participants confirms these trends with real-time interventions.
| Comments: | 45 pages, 6 figures, 20 tables |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.07506 [cs.HC] |
| (or arXiv:2610.07506v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.07506 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Seunghyun Oh [view email]
[v1]
Mon, 5 Oct 2026 23:18:04 UTC (3,388 KB)
来源：arXiv cs.AI · arxiv.org