Pask: Providing Answer before AsKing toward Proactive AI agent
We present Pask, a proactive AI agent that provides real-time, context-aware guidance and knowledge support in audio-centric media environments. Unlike passive assistants that follow the ''you ask, I answer'' model, Pask shifts toward ''answering before asking'' by continuously monitoring live audio, anticipating user needs, and proactively offering conceptual explanations and semantic clarifications. It integrates three core components: a silent copilot for in-situ explanation, a structured knowledge base for factual grounding, and a private memory module for personalized adaptation. Pask enhances comprehension and communication in scenarios such as online learning, media consumption, and live meetings through sustained, intelligent guidance. A live demo is available at https://www.youtube.com/watch?v=ki_CKiV9Oyk.
Authors
- Yue Liao (ORCID: https://orcid.org/0000-0002-2671-0655)
- J.Z. Zhang
- Shuicheng Yan (ORCID: https://orcid.org/0000-0001-8906-3777)
- Chunyan Miao (ORCID: https://orcid.org/0000-0002-0300-3448)
- Guibin Zhang (ORCID: https://orcid.org/0009-0001-6405-3289)
- Xie Zhifei
- Hu Zongzheng
Institutions
- National University of Singapore (SG)
- Nanyang Technological University (SG)
- Jiangsu Industry Technology Research Institute (CN)
Publication Details
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1145/3746027.3754487
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00