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Massachusetts Institute of Technology

A personal, mobile system for understanding stress and interruptions

Abstract

dc:description.abstract

A variety of legacy and emerging health applications are designed to monitor sensed information about a person's physiological signals over time. Such applications include systems for tracking heart conditions that have been in use by cardiologists for decades to recent prototypes for monitoring elders in cognitive decline. This thesis focuses on addressing the challenges inherent in an interactive monitoring system - how and when to interact with a user. This research aims to improve these systems in two main ways: 1) explore how to interact through social-emotional, relational dialogue, and 2) explore when to interact by adjusting the timing of these interruptions. An interactive, health application has been developed for data collection, annotation, and feedback that is part of a longer-term research plan for gathering data to understand more about stress, the physiological signals involved in its expression, and the interplay between stress and interruptibility. The system has been developed on a mobile platform and uses affect and interruption-sensitive strategies to engage users and allow for real-time annotation of stress, activity and timing information through text and audio input. The platform supports continuous, wireless, and non-intrusive collection of heart signal data, accelerometer, and pedometer information, as well as automatic labeling of location information from context beacons. This system is the first of its kind to be affect and interruption-responsive - to use physiological data to adjust the timing of interruptions, as well as to adaptively respond with dialogue and relational strategies that specifically address the user's stress levels and the disruption the device may be incurring upon the user.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Liu, Karen Kay-Lynn, 1980-
Advisor dc:contributor.advisor
  • Rosalind W. Picard.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/26918
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/26918

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Liu, Karen Kay-Lynn, 1980-. A personal, mobile system for understanding stress and interruptions. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/26918