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

Introduction to Learning01:18

Introduction to Learning

1.6K
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
1.6K
Humanistic Psychology01:24

Humanistic Psychology

3.0K
Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
3.0K
Behaviorism01:28

Behaviorism

7.5K
The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
7.5K
Naturalistic Observations02:30

Naturalistic Observations

15.1K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.1K
Purposive Learning01:22

Purposive Learning

690
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
690
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

371
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
371

You might also read

Related Articles

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

Sort by
Same author

Zeitschrift fur Gerontologie und Geriatrie·2026
Same author

Automatic Detection of Gait Perturbations With Everyday Wearable Technology.

IEEE open journal of engineering in medicine and biology·2025
Same author

The implementation of frailty assessment in gynecologic oncology: an international multicenter JAGO-NOGGO survey.

Archives of gynecology and obstetrics·2025
Same author

[40th anniversary of the German Society of Geriatrics (DGG)-In demand, matured, strengthened : History of the DGG concerning scientific and professional political aspects].

Zeitschrift fur Gerontologie und Geriatrie·2025
Same author

Survey of drug use and its association with herd-level and farm-level characteristics on German dairy farms.

Journal of dairy science·2023
Same author

[The clinical importance of the critical view of safety in laparoscopic cholecystectomy].

Chirurgie (Heidelberg, Germany)·2023
Same journal

[Journal Club].

Zeitschrift fur Gerontologie und Geriatrie·2026
Same journal

Effect of anticholinergic burden on cardiac functions in older patients.

Zeitschrift fur Gerontologie und Geriatrie·2026
Same journal

[Communication in later life under institutional conditions : Professional perspectives on communication of ageing people with profound intellectual and multiple disabilities].

Zeitschrift fur Gerontologie und Geriatrie·2026
Same journal

Zeitschrift fur Gerontologie und Geriatrie·2026
Same journal

Zeitschrift fur Gerontologie und Geriatrie·2026
Same journal

Zeitschrift fur Gerontologie und Geriatrie·2026
See all related articles

Related Experiment Video

Updated: Apr 23, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

876

A novel approach for discovering human behavior patterns using unsupervised methods.

Ju Wang1, J Bauer, M Becker

  • 1Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Braunschweig, Germany, ju.wang@plri.de.

Zeitschrift Fur Gerontologie Und Geriatrie
|October 2, 2014
PubMed
Summary
This summary is machine-generated.

This study proposes an unsupervised method to discover elderly behavior patterns from sensor data, potentially aiding health assessment. Findings show some correlation between lifestyle changes and health, but more research is needed.

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

4.4K
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

13.0K

Related Experiment Videos

Last Updated: Apr 23, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

876
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

4.4K
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

13.0K

Area of Science:

  • Gerontology and Health Informatics
  • Behavioral Science and Sensor Technology

Background:

  • Elderly individuals experience a decline in self-care abilities, impacting daily behaviors.
  • Sensor-enhanced living environments offer unobtrusive methods for monitoring behavior to assess health status.
  • Unsupervised methods are crucial for extracting insights from sensor data in practical applications.

Purpose of the Study:

  • To propose a novel unsupervised approach for discovering behavioral patterns in the elderly.
  • To investigate the association between lifestyle changes and health status using sensor-derived data.

Main Methods:

  • The proposed approach was applied to datasets from the GAL-NATARS study.
  • Data were collected from older adults (≥70 years) in their home environments post-hospitalization for femoral fracture.
  • Unsupervised methods were employed for behavior pattern discovery.

Main Results:

  • The study measured changes in lifestyle regularity.
  • Analysis revealed that two out of four subjects showed an impressive association between extracted behavioral information and medical assessment results.
  • Two subjects demonstrated less significant associations.

Conclusions:

  • The developed approach may offer complementary information for health assessment in the elderly.
  • Further studies with larger datasets are required to establish a dominant relationship between behavior pattern changes and health status.
  • The current study's limitations include reliance solely on environmental data, excluding wearable sensors.