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

Manipulation and Analysis01:21

Manipulation and Analysis

134
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
134
Levels of Use of a GIS01:29

Levels of Use of a GIS

170
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
170
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

127
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
127
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

171
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
171
Thematic Layering in GIS01:30

Thematic Layering in GIS

145
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
145

You might also read

Related Articles

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

Sort by
Same author

Corneal Innervation Research at a Crossroads: A Tool-Driven Roadmap for the Future.

Investigative ophthalmology & visual science·2026
Same author

WISDOM randomized trial comparing risk-based versus annual breast cancer screening: study cohort characteristics and design.

NPJ breast cancer·2026
Same author

Utility of a Multiplex Molecular Respiratory Pathogen Panel on Clinical Management of Children in the Pediatric Emergency Department.

The Journal of molecular diagnostics : JMD·2026
Same author

RNA exosome-mediated RNA surveillance governs developmental timing in the human cerebellum.

bioRxiv : the preprint server for biology·2026
Same author

Care Variation Among Sites Participating in a National Quality Improvement Initiative for Croup.

Hospital pediatrics·2026
Same author

Clinical, Prognostic, and Biological Features of High-Risk Cardiometabolic Phenotype: The REMODEL Study.

MedComm·2026
Same journal

Designing Videogames to Crowdsource Accelerometer Data Annotation for Activity Recognition Research.

Proceedings of the ... Annual Symposium on Computer-Human Interaction in Play. ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play·2019
See all related articles

Related Experiment Video

Updated: Nov 9, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.3K

Large-Scale Analysis of Visualization Options in a Citizen Science Game.

Josh Aaron Miller1, Vivian Lee1, Seth Cooper1

  • 1Northeastern University Boston, MA, USA.

Proceedings of the ... Annual Symposium on Computer-Human Interaction in Play. ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play
|April 16, 2021
PubMed
Summary
This summary is machine-generated.

Citizen science game players

Keywords:
citizen science gameexpertisevisualization

More Related Videos

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.9K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.2K

Related Experiment Videos

Last Updated: Nov 9, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.3K
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.9K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.2K

Area of Science:

  • * Citizen science and human-computer interaction.
  • * Game-based learning and problem-solving.
  • * Data visualization and user experience design.

Background:

  • * Visualization is crucial for problem-solving in citizen science games.
  • * Understanding player behavior in these games is key to improving engagement and learning.
  • * Expertise and puzzle complexity influence player interaction with visualization tools.

Purpose of the Study:

  • * To analyze how player expertise and puzzle type affect visualization choices in the citizen science game Foldit.
  • * To identify patterns and clusters in visualization option selection.
  • * To provide insights for designing better visualization tools for citizen science platforms.

Main Methods:

  • * Analysis of gameplay data from 36,351 unique Foldit players over 5 years.
  • * Identification of distinct clusters of visualization option usage.
  • * Comparative analysis of visualization preferences between novice and expert players.

Main Results:

  • * Distinct clusters of visualization options were identified among players.
  • * Significant differences were observed in how expert and novice players approach puzzles.
  • * Experts dynamically adjusted their visualization strategies based on puzzle type.

Conclusions:

  • * Player expertise and puzzle characteristics significantly influence visualization choices in citizen science games.
  • * Tailoring visualization tools to different expertise levels and problem types can enhance problem-solving.
  • * Findings can guide the development of more effective citizen science game interfaces.