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Quantified self: History, Applications, Technology & Measurement

Quantified self is both the cultural phenomenon of self-tracking with technology and a community of users and makers of self-tracking tools who share an interest in "self-knowledge through numbers". Quantified self practices overlap with the practice of lifelogging and other trends that incorporate technology and data acquisition into daily life, often…

Language: English [EN]
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Quantified self topic overview

The analysis highlights History, Applications, Technology and Measurement as prominent areas in the source structure around Quantified self.

Related topics
35
Source areas
5
Connected nodes
40
Extracted relationships
42
Concept neighborhoods
11
Bridge connections
40

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Applications · 11 topics
Overview · 10 topics
History · 6 topics
Methodologies · 6 topics
Debates and criticism · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Methodologies

Applications

Debates and criticism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Quantified self connects Entity context

The extracted context around Quantified self shows recurring relationship patterns in the source. For example, Quantified self → An, Datum, Generally, Survey Consortium Health, The, The European Health Literacy, While Another extracted example is Quantified self → Another, Because, Data, Proponents, Rather, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Quantified self

Top relations

related to Health literacy · 7
Quantified self → An, Datum, Generally, Survey Consortium Health, The, The European Health Literacy, While
related to "Data fetishism" · 6
Quantified self → Another, Because, Data, Proponents, Rather, This
has application · 5
Quantified self → Corporate, Genetic, In, Many, Wall Street Journal
related to Debates and criticism · 5
Quantified self → Generally, The, Usually, While, Within
related to Methodologies · 4
Quantified self → Do-It-Yourself, In, Like, Wiki
related to Quantified baby · 4
Quantified self → Parents, Quantified, Reactions, This

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data quantified self health self-tracking using literacy personal technology also movement practice daily baby criticism wearable use often healthcare tracking

Quantified self relationships Subject–Predicate–Object triples

TTTA extracted 42 structured relationships around Quantified self. Examples in this analysis include the Fitbit or the Apple Watch → instance of → The widespread adoption in recent years of wearable fitness and sleep trackers and eating → instance of → correlate blood-sugar levels with activities. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
the Fitbit or the Apple Watchinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
combined with the increased presence of Internet of things in healthcareinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
in exercise equipmentinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
have made self-tracking accessible to a large segment of the population.Other terms for using self-tracking data to improve daily functioning are auto-analyticsinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
body hackinginstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
self-quantifyinginstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
self-surveillanceinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
sousveillanceinstance ofThe widespread adoption in recent years of wearable fitness and sleep trackers0.80text
eatinginstance ofcorrelate blood-sugar levels with activities0.80text
by capturing a food record of intakeinstance ofcorrelate blood-sugar levels with activities0.80text
blood glucose monitors but also Do-It-Yourself tools such asinstance ofincluding the use of medical devices0.80text
Quantified selfhas applicationIn0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Quantified self bring nearby vocabulary together. In this analysis, examples include Self, Movement and Baby. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Quantified self
    • Self
    • Movement
    • Baby
    • Self-tracking
    • Community
    • Health
    • Personal
    • Using
    • Data
    • Life
    • Practices
    • Proposed
  • quantified self
    • Self
    • Movement
    • Baby
    • Self-tracking
    • Community
    • Practices
    • Users
    • Health
    • Personal
    • Using
    • Data
    • Life
  • data acquisition
    • Using
    • Self-tracking
    • Health
    • Literacy
    • Life
    • Practice
    • Personal
    • Collection
    • Improve
    • Make
    • Daily
    • Many
  • personal science
    • Science
    • Many
    • Activity
    • Tracking
    • Study
    • Quantified
    • Self
    • Become
    • Using
    • Wearable
    • Use
    • Self-tracking
  • health professional
    • Literacy
    • Skills
    • Life
    • Make
    • Tracking
    • Self-tracking
    • Movement
    • Quantified
    • Self
    • Using
    • Improve
    • Practices
  • health literacy
    • Literacy
    • Skills
    • Life
    • Make
    • Proposed
    • Tracking
    • Sense
    • Self-tracking
    • Also
    • Movement
    • Practice
    • Quantified
  • wearable
    • Proposed
    • Many
    • Baby
    • Use
    • Using
    • Made
    • Sleep
    • Self-tracking
    • Activities
    • Healthcare
    • Often
    • Science
  • wearable computing
    • Proposed
    • Many
    • Baby
    • Use
    • Using
    • Made
    • Sleep
    • Self-tracking
    • Activities
    • Healthcare
    • Often
    • Science

Connections between topic areas Semantic bridges

For Quantified self, one of the stronger structural bridges in this analysis connects Quantified self with Applications. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Quantified selfApplications · splits 29 ⟂ 12
Quantified selfOverview · splits 30 ⟂ 11
Quantified selfHistory · splits 34 ⟂ 7
Quantified selfMethodologies · splits 34 ⟂ 7
Quantified selfDebates and criticism · splits 38 ⟂ 3

Map overview Semantic statistics

Quantified self

Nodes41
Edges40
Triples42
Avg. degree1.95
Density0.04878
Components1

Source & methodology

TTTA analyzes the structure around Quantified self to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Technology & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Quantified self · EN edition · Analysis: TopicsToTalkAbout

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