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

Naturalistic Observations02:30

Naturalistic Observations

17.2K
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...
17.2K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

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

56.1K
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...
56.1K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.5K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.5K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.0K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.0K
Gene-Environment Interactions01:20

Gene-Environment Interactions

1.2K
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.2K
Protein Complex Assembly02:41

Protein Complex Assembly

16.8K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
16.8K

You might also read

Related Articles

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

Sort by
Same author

Choice Blindness in a Military Setting.

Human factors·2026
Same author

Impacts of decision support systems on cognition and performance for intelligence-gathering path planning.

Military psychology : the official journal of the Division of Military Psychology, American Psychological Association·2024
Same author

Evaluation of a decision support system using Bayesian network modeling in an applied Multi-INT surveillance environment.

Military psychology : the official journal of the Division of Military Psychology, American Psychological Association·2023
Same author

Evaluation of Simulated Recognition Aids for Human Sensemaking in Applied Surveillance Scenarios.

Human factors·2022
Same author

Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model.

Behavior research methods·2017
Same author

Utilizing functional near-infrared spectroscopy for prediction of cognitive workload in noisy work environments.

Neurophotonics·2017
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
Same journal

Are 7-point Likert scales preferable to 5-point scales in language research?

Behavior research methods·2026
Same journal

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.

Behavior research methods·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.3K

Scanpath comparisons for complex visual search in a naturalistic environment.

Mary E Frame1, Rik Warren2, Anna M Maresca3

  • 1Wright State University, Dayton, Ohio, USA. mary.frame@wright.edu.

Behavior Research Methods
|December 5, 2018
PubMed
Summary
This summary is machine-generated.

Scanpath similarity analysis effectively characterizes surveillance identification errors. This eye-tracking method reveals visual search patterns, aiding in developing better solutions for surveillance tasks.

Keywords:
Applied researchScanpath analysisVisual search

More Related Videos

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.4K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.8K

Related Experiment Videos

Last Updated: Feb 1, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.3K
Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.4K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

12.8K

Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Visual Perception

Background:

  • Naturalistic surveillance generates complex eye-tracking data.
  • Standard analysis methods struggle with temporal irregularities in events of interest.
  • Naturalistic environments pose challenges: expert analysts, small samples, and long sessions.

Purpose of the Study:

  • To evaluate scanpath similarity as a method for analyzing eye-tracking data in naturalistic surveillance.
  • To compare expert and novice surveillance analysts' visual search patterns.
  • To determine if scanpath analysis can identify and guide solutions for surveillance errors.

Main Methods:

  • Utilized the ScanMatch Matlab tool to compute scanpath similarity on diverse surveillance data.
  • Compared eye-tracking data from a small sample of expert surveillance analysts and novices.
  • Applied an algorithm adapted from DNA sequence comparison to assess scanpath morphology and duration.

Main Results:

  • Both experts and novices exhibited equal dwell time on targets, irrespective of identification accuracy.
  • Scanpath consistency was higher across participants based on target type, not individual preferences.
  • Scanpath similarity scores provided insights into visual search processes.

Conclusions:

  • Scanpath analysis is a powerful computer-based tool for characterizing surveillance identification errors.
  • This methodology can effectively guide the development of practical solutions for surveillance tasks.
  • Scanpath similarity offers valuable insights into the underlying mechanisms of visual search.