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 Experiment Videos

"Seeing" Data Like an Expert: An Eye-Tracking Study Using Graphical Data Representations.

Joseph A Harsh1, Molly Campillo2, Caylin Murray1

  • 1Department of Biology, James Madison University, Harrisonburg, VA 22807.

CBE Life Sciences Education
|August 10, 2019
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Patient-derived organoids across cancers reveal conserved tumor heterogeneity and actionable therapeutic vulnerabilities.

Science advances·2026
Same author

Pharmacokinetics of xylazine and fentanyl in patients presenting to the emergency department after non-fatal opioid overdose.

Drug and alcohol dependence·2026
Same author

Very low-carbohydrate ketogenic diet in treatment-naïve women with endometrial cancer and overweight: a randomized feasibility study.

Nature communications·2026
Same author

Persistent Hypoxia After Tricuspid Valve Replacement.

JACC. Case reports·2026
Same author

Tumor immune microenvironment reconstitution in patient-derived organoids enables therapy modeling for NSCLC.

Cell reports methods·2026
Same author

Safety and efficacy of bilateral same-day optic nerve sheath fenestration.

Orbit (Amsterdam, Netherlands)·2026
Same journal

Assigning Competence Across STEM: Surfacing and Spotlighting Student Contributions through the Competence Amplification Framework.

CBE life sciences education·2026
Same journal

A Non-Volunteer CURE in Introductory Biology Does Not Increase Student Retention at a Regional Comprehensive University.

CBE life sciences education·2026
Same journal

"It's because of me - I made myself get here": First-Generation College Students in STEM Motivations for, and Experiences with, Academic Advising.

CBE life sciences education·2026
Same journal

Career Pathways and Skill Preparedness among Biology PhDs: A Social Cognitive Career Theory Perspective.

CBE life sciences education·2026
Same journal

Fueling Ambition: Graduate Degree Aspirations Among Women of Color in STEM.

CBE life sciences education·2026
Same journal

Social Justice, Science Agency, and Collaborations: Using Participatory Science to Enhance Learning Outcomes in Postsecondary STEM Courses.

CBE life sciences education·2026
See all related articles

This study used eye tracking to explore how science expertise affects graph interpretation. Experts and novices visually process data differently, offering insights for teaching data analysis skills.

Area of Science:

  • Scientific communication
  • Data visualization
  • Graph literacy

Background:

  • Effective communication of scientific information relies heavily on data visualizations.
  • Developing students' graph literacy is crucial for understanding scientific concepts and navigating daily life.
  • While student difficulties in graphing are known, the cognitive development of these skills remains unclear.

Purpose of the Study:

  • To investigate the cognitive processes underlying graph interpretation.
  • To compare the visual strategies of individuals with varying levels of science expertise when interpreting data displays.
  • To understand the novice-to-expert transition in graph comprehension.

Main Methods:

  • Utilized eye tracking (ET) technology to monitor visual attention.

Related Experiment Videos

  • Compared non-science undergraduates, early and advanced biology undergraduates, graduate students, and science faculty.
  • Assessed participants' strategies in making sense of data visualizations during graph-based tasks.

    • Main Results:

    • Significant variations were observed in visual attention patterns (fixations, search paths) based on science expertise.
    • Individuals with higher science expertise exhibited different visual search strategies compared to novices.
    • Attention allocation during graph interpretation is influenced by an individual's level of scientific training.

    Conclusions:

    • Expertise level demonstrably impacts how individuals visually engage with and interpret data visualizations.
    • Understanding these cognitive differences is key to designing effective educational interventions.
    • Findings can inform the development of novel strategies to enhance data analysis and graph literacy instruction.