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Sensei: Intelligent Physiological Signal Acquisition and Analysis Dashboard

  • Navya Tiwari
  • , Erin Solovey
  • , Andrew L. Kun
  • , Osnat Mokryn
  • , Orit Shaer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationCompanion Proceedings of the 31st International Conference on Intelligent User Interfaces, IUI 2026 Companion
PublisherAssociation for Computing Machinery
Pages198-201
Number of pages4
ISBN (Electronic)9798400719851
DOIs
StatePublished - 22 Mar 2026
Event2026 ACM International Conference on Intelligent User Interfaces, IUI 2026 - Paphos, Cyprus
Duration: 23 Mar 202626 Mar 2026

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference2026 ACM International Conference on Intelligent User Interfaces, IUI 2026
Country/TerritoryCyprus
CityPaphos
Period23/03/2626/03/26

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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