Abstract
Physiological signals are increasingly used to study stress, engagement, and user experience. Yet collecting and interpreting these signals remains difficult for students and novice researchers, who must navigate complex device setups, scattered software tools, and technical analysis workflows. This demo presents Sensei, an intelligent browser-based platform that streamlines the entire process of running small physiological studies—from connecting sensors and defining protocols to visualizing data and generating interpretations. In this demo, attendees will run a brief recording session and explore Sensei’s AI-assisted analysis tools, illustrating how intelligent support can make physiological computing more approachable for learning and early-stage research.
| Original language | English |
|---|---|
| Title of host publication | Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, IUI 2026 Companion |
| Publisher | Association for Computing Machinery |
| Pages | 198-201 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798400719851 |
| DOIs | |
| State | Published - 22 Mar 2026 |
| Event | 2026 ACM International Conference on Intelligent User Interfaces, IUI 2026 - Paphos, Cyprus Duration: 23 Mar 2026 → 26 Mar 2026 |
Publication series
| Name | International Conference on Intelligent User Interfaces, Proceedings IUI |
|---|
Conference
| Conference | 2026 ACM International Conference on Intelligent User Interfaces, IUI 2026 |
|---|---|
| Country/Territory | Cyprus |
| City | Paphos |
| Period | 23/03/26 → 26/03/26 |
Bibliographical note
Publisher Copyright:© 2026 Copyright held by the owner/author(s).
Keywords
- AI-assisted analysis
- Lab Streaming Layer
- data collection
- multimodal biosignals
- physiological computing
- visualization
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
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