Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Self-Schemas02:16

Self-Schemas

36.5K
In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
36.5K
Introspection01:29

Introspection

414
Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...
414
Personal Identity01:25

Personal Identity

562
Personal identity is the deeply felt sense of self that individuals cultivate over time, intricately woven from intrinsic qualities they consider essential to their existence—qualities such as morality, intelligence, and friendliness. These attributes serve as vital internal benchmarks, guiding individuals in evaluating whether their actions resonate with their true selves.When personal identity takes center stage in one's life, individuals often emphasize their distinctiveness,...
562
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.4K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.4K
Understanding the Self01:28

Understanding the Self

391
The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
391
Data Collection I01:30

Data Collection I

8.9K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
8.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The role of suprapubic catheter insertion in preventing urinary tract infections following intravesical Botulinum toxin A.

European journal of obstetrics, gynecology, and reproductive biology·2021
Same author

Barriers to the Prescription of Psychological Strategies by Strength and Conditioning Specialists.

Journal of strength and conditioning research·2017
Same author

The Perceived Psychological Responsibilities of a Strength and Conditioning Coach.

Journal of strength and conditioning research·2016
Same author

Data Science and its Relationship to Big Data and Data-Driven Decision Making.

Big data·2016
Same author

Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making".

Big data·2016
Same author

Psychological Strategies Included by Strength and Conditioning Coaches in Applied Strength and Conditioning.

Journal of strength and conditioning research·2015

Related Experiment Video

Updated: Mar 17, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K

Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science.

Tom Fawcett1

  • 1Silicon Valley Data Science Mountain View, California.

Big Data
|July 22, 2016
PubMed
Summary
This summary is machine-generated.

The quantified self (QS) movement tracks personal data, but analytics lag behind. This study explores QS challenges and formulates a data-driven approach for actionable health insights.

Keywords:
collection of health datadata scienceinternet of thingsknowledge discoverymobile healthquantified selfwearable devices

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.9K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Related Experiment Videos

Last Updated: Mar 17, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.6K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.9K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Area of Science:

  • Human-computer interaction
  • Data science
  • Personal informatics

Background:

  • The quantified self (QS) movement, involving personal data tracking, has grown significantly.
  • Wearable computing and personal tracking devices fuel the QS ecosystem.
  • Despite data collection advancements, analytical capabilities in QS remain underdeveloped.

Purpose of the Study:

  • To review the opportunities and challenges within the QS movement.
  • To address the gap in analytical capabilities for QS data.
  • To formulate a data science approach for actionable insights in QS.

Main Methods:

  • Review of QS movement trends and data characteristics.
  • Exploration of data science techniques for knowledge discovery.
  • Formulation of the QS problem using personal health time series data.

Main Results:

  • QS data collection is rapidly advancing, outpacing analytical methods.
  • Unique challenges exist in applying data science to QS due to data characteristics and user needs.
  • A formulation connecting QS data to user-relevant decisions is proposed.

Conclusions:

  • Advanced analytical techniques are needed to unlock the potential of QS data.
  • Bridging the gap between data science and user needs is crucial for QS.
  • The proposed formulation offers a path towards more actionable insights from personal tracking data.