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Understanding Self-Tracked Data from Bounded Situational Contexts

Description:

Over the past decade as smartphones and wearable tracking devices have grown in popularity, more individuals have begun collecting their own health and behavioral data. Innovations in sensor technology now allow individuals to continuously collect data over long periods of time with minimal effort. As a result, more data has...

Keyword:

patient-generated data, human-computer interaction, mental health, personal informatics, human-data interaction, and self-tracking

Subject:

Computer science and Communication

Creator:

Ng, Ada

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

10/07/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_840621 and http://dissertations.umi.com/northwestern:15690