https://gazeplotter.com/_app/immutable/chunks/C1L5OS0j.js

1var e=[{name:`Getting Started`,href:`/docs`,seoTitle:`Free Eye-Tracking Visualization Tool`,description:`Step-by-step introduction to GazePlotter. Learn to upload data files, manage participant groups, and configure eye-movement plots.`},{name:`Changelog`,href:`/docs/changelog`,seoTitle:`Changelog & Version Updates`,description:`Release history and updates for GazePlotter versions.`},{title:`Uploading Data`,links:[{name:`Supported File Formats`,href:`/docs/upload-data`,seoTitle:`Supported Eye-Tracker File Formats`,description:`Overview of supported eye-tracker file formats. Upload fixation exports from Tobii Pro Lab, SMI BeGaze, Gazepoint, Pupil Cloud, Varjo, OGAMA, or custom CSV.`},{name:`Custom CSV`,href:`/docs/upload-data/custom-csv`,seoTitle:`Upload Custom CSV Eye-Tracking Data`,description:`Upload Custom CSV files using three strict formats (time-series, segmented from/to, or duration-based) with optional x/y coordinate columns.`},{name:`Gazepoint`,href:`/docs/upload-data/gazepoint`,seoTitle:`Visualize Gazepoint Data Online Free`,description:`Import Gazepoint CSV exports. Parses fixation segments and blink events from time-series columns (FPOGS, FPOGD, BKID, BKDUR) and maps stimulus media.`},{name:`OGAMA`,href:`/docs/upload-data/ogama`,seoTitle:`Visualize OGAMA Data Online Free`,description:`Import OGAMA scanpath similarity exports. Parses character-mapped scanpath strings (e.g., A, B, C) with ordinal durations and maps them to AOI sequences.`},{name:`Pupil Cloud`,href:`/docs/upload-data/pupil-cloud`,seoTitle:`Visualize Pupil Labs Pupil Cloud Data`,description:`Import Pupil Cloud ZIP archives containing sections.csv, fixations.csv, and aoi_fixations.csv to parse normalized fixation intervals and AOI hit sets.`},{name:`SMI BeGaze`,href:`/docs/upload-data/smi-begaze`,seoTitle:`Visualize SMI BeGaze Data Online Free`,description:`Ingest SMI BeGaze event-statistics TSV exports. Parses event start and end trial times, participant, stimulus, category (fixation/saccade), and AOI name.`},{name:`Tobii Pro Lab`,href:`/docs/upload-data/tobii-pro-lab`,seoTitle:`Visualize Tobii Pro Lab Data Online Free`,description:`Import Tobii Pro Lab TSV exports. Supports coordinate mapping, AOI column hits, and suffix-driven Event-column interval parsing for web/stimulus timelines.`},{name:`Varjo`,href:`/docs/upload-data/varjo`,seoTitle:`Visualize Varjo Eye-Tracking Data Online`,description:`Import Varjo semicolon-delimited CSV exports. Parses formatted date-time strings and maps the Actor Label column to AOI events under a default VarjoScene.`},{name:`Events`,href:`/docs/upload-data/events`,description:`Format and upload external event files (e.g., user triggers or stimulus change indicators) to overlay dynamic timelines on gaze sequences.`}]},{title:`Workspace`,links:[{name:`Workspace Canvas`,breadcrumbName:`Workspace`,href:`/docs/workspace`,description:`Interface layout guide. Learn to manage the visualization canvas, top ribbon, left rail, right settings pane, and configure customization libraries.`},{name:`AOI Library`,href:`/docs/workspace/aoi-library`,description:`Manage Areas of Interest (AOIs). Customize display names, edit color palettes, hide specific AOIs, and configure No-AOI fallback treatment.`},{name:`Event Library`,href:`/docs/workspace/event-library`,description:`Register and color-code event channels (e.g. key presses, video changes) to render overlay markers alongside gaze sequence data.`},{name:`Eye-movement Type Library`,href:`/docs/workspace/eye-movement-type-library`,description:`Configure and customize eye-movement classification categories (such as fixations, saccades, and unclassified events).`},{name:`Participant Library`,href:`/docs/workspace/participant-library`,description:`Manage participant records. Rename participant IDs individually or in bulk using regex patterns, reorder or sort the active participant sequence, and build named participant selections for cross-cohort comparisons.`},{name:`Stimuli Library`,href:`/docs/workspace/stimuli-library`,description:`Manage stimulus display records. Rename stimulus labels individually or in bulk using regex patterns, and reorder or sort the active stimulus sequence.`}]},{title:`Metrics Library`,links:[{name:`Overview`,breadcrumbName:`Metrics`,href:`/docs/metrics`,seoTitle:`Eye-Tracking Metrics Library`,description:`Calculate eye-tracking metrics: dwell time, fixation count, time to first fixation (TTFF), transition probabilities, and RQA measures.`},{name:`Dwell Time & Fixation Durations`,href:`/docs/metrics/durations`,seoTitle:`Dwell Time & Fixation Duration Metrics`,description:`Calculate dwell time (total fixation duration), percentage-based relative time, and average fixation length for individual Areas of Interest (AOIs).`},{name:`Fixation Counts & Latency`,href:`/docs/metrics/counts-latency`,seoTitle:`Fixation Count & Time to First Fixation`,description:`Track visual salience by measuring total visit counts, fixation frequencies, and Time to First Fixation (TTFF) for specific target regions.`},{name:`AOI Transitions & Markov Metrics`,href:`/docs/metrics/transitions`,seoTitle:`AOI Transition & Markov Metrics`,description:`Compute AOI transition probabilities and k-step Markov chain matrices to quantify directional scanning tendencies between stimulus elements.`},{name:`Recurrence Quantification Analysis (RQA)`,href:`/docs/metrics/rqa`,seoTitle:`Recurrence Quantification Analysis (RQA)`,description:`Quantify scanpath complexity with non-linear dynamics, extracting metrics like determinism, laminarity, entropy, and recurrence rates.`},{name:`Scanpath Similarity`,href:`/docs/metrics/scanpath-similarity`,seoTitle:`Eye-Tracking Scanpath Similarity Metrics`,description:`Mathematical specifications for scanpath comparison algorithms, including Levenshtein edit distance and global Needleman-Wunsch alignments.`},{name:`Eye-movement Type Metrics`,href:`/docs/metrics/eye-movement`,seoTitle:`Eye-movement Type Metrics & Saccadic Latency`,description:`Measure fixations, saccades, and blinks as first-class types: counts, time budgets, segment durations, and time to first saccade (saccadic latency).`},{name:`Event Metrics`,href:`/docs/metrics/events`,seoTitle:`Event Channel Metrics for Eye Tracking`,de

1scription:`Measure uploaded event channels: occurrence counts, active time, time share, occurrence durations, and time to first event, per channel and participant.`}]},{title:`Visualizations`,links:[{name:`Eye-tracking Visualizations`,breadcrumbName:`Visualizations`,href:`/docs/visualizations`,description:`Interactive visualization suite. Compare scarf timelines, 2D scanpaths, transition matrices, and correlation SPLOMs.`},{name:`Scarf Plot`,href:`/docs/visualizations/scarf-plot`,seoTitle:`Scarf Plot: Eye-Tracking Timeline Chart`,description:`Timeline visualization mapping gaze sequences over time. Overlays time-coded events, highlights specific categories, and compares participant rows.`},{name:`AOI Comparison`,href:`/docs/visualizations/aoi-comparison`,seoTitle:`AOI Comparison: Eye-Tracking Bar Charts`,description:`Generate comparative bar charts of dwell times, fixation counts, and latencies across Areas of Interest, filtered by custom participant groups.`},{name:`Eye-movement Comparison`,href:`/docs/visualizations/eye-movement-comparison`,seoTitle:`Compare Fixations, Saccades & Blinks`,description:`Compare eye-movement types side by side: per-type counts, time budgets, segment durations, and saccadic latency, with distribution overlays across participants.`},{name:`Event Comparison`,href:`/docs/visualizations/event-comparison`,seoTitle:`Compare Event Channels Across Participants`,description:`Compare event channels side by side: occurrence counts, active time, time shares, durations, and onset latencies, with distribution overlays across participants.`},{name:`Transition Matrix`,href:`/docs/visualizations/transition-matrix`,seoTitle:`AOI Transition Matrix for Eye Tracking`,description:`Model visual search paths with probability matrices. Visualizes gaze shift frequencies and Markov transition rates between Areas of Interest.`},{name:`AOI Timeline`,href:`/docs/visualizations/aoi-timeline`,seoTitle:`AOI Timeline: Attention Over Time`,description:`Trace temporal attention trends with stacked distributions, ridgelines, and heatmaps showing participant gaze distribution across AOIs over time.`},{name:`Recurrence Plot`,href:`/docs/visualizations/recurrence-plot`,seoTitle:`Recurrence Plot for Eye-Tracking Scanpaths`,description:`N×N recurrence matrices mapping temporal self-similarity in individual scanpaths. Reveals repeating visual check patterns and search loops.`},{name:`Scanpath`,href:`/docs/visualizations/scanpath`,seoTitle:`Scanpath Plot: Fixations & Saccades`,description:`Plot 2D spatial scanpaths on coordinate axes. Visualizes fixation coordinates, chronological sequence, durations (via circle radius), and saccade paths.`},{name:`Scanpath Similarity`,href:`/docs/visualizations/scanpath-similarity`,seoTitle:`Scanpath Similarity Matrix & Network`,description:`Compute scanpath alignments using Levenshtein distance and Needleman-Wunsch. Visualizes networks to cluster similar search behaviors.`},{name:`Metric Timeline`,href:`/docs/visualizations/metric-timeline`,seoTitle:`Eye-Tracking Metrics Over Time`,description:`Analyze how eye-tracking metrics (such as fixation duration or count) change over time using rolling windowed charts and heatmaps.`},{name:`Metric Correlation`,href:`/docs/visualizations/metric-correlation`,seoTitle:`Correlate Eye-Tracking Metrics (SPLOM)`,description:`Evaluate correlations between eye-tracking metrics using Pearson/Spearman correlation heatmaps and Scatter Plot Matrices (SPLOM).`},{name:`Metric Matrix`,href:`/docs/visualizations/metric-matrix`,seoTitle:`Metric Matrix: Eye-Tracking Data Quality`,description:`Scan a participants × stimuli grid of scalar metric values per recording. Spot missing recordings and capture failures for data-quality screening.`}]},{title:`Export`,links:[{name:`Export`,href:`/docs/export`,seoTitle:`Export Eye-Tracking Data & Figures`,description:`Export eye-tracking figures, segmented data, events, and metric tables for statistical software such as R, SPSS, jamovi, or Python.`},{name:`Workspace`,href:`/docs/export/workspace`,description:`Export session states in GazePlotter format. Save active plots, layout styles, groups, and stimulus libraries to resume work later.`},{name:`Figures`,href:`/docs/export/figures`,description:`Render all or selected workspace plots as PNG or JPG images at a chosen resolution, downloaded directly or bundled into a single ZIP archive.`},{name:`ScanGraph`,href:`/docs/export/scangraph`,description:`Export scanpath sequences as letter-coded strings in a text format for the external ScanGraph scanpath-similarity tool.`},{name:`Metric Data`,href:`/docs/export/metric-data`,seoTitle:`Export Eye-Tracking Metrics to CSV`,description:`Export eye-tracking metric tables in long or wide CSV formats, structured for import into R, SPSS, jamovi, JASP, or Python Pandas.`},{name:`Segmented Data`,href:`/docs/export/segmented-data`,description:`Export raw gaze segments partitioned by stimulus and participant, formatted for custom pipeline processing.`},{name:`Event Data`,href:`/docs/export/event-data`,description:`Export event occurrences with their timing per participant and stimulus; single-file exports can be re-imported as event files.`}

1]},{title:`Advanced`,links:[{name:`Advanced`,href:`/docs/advanced`,description:`Advanced configurations, metadata inspection tools, crop workflows, and pipeline options for developers and heavy users.`},{name:`Source Metadata`,href:`/docs/advanced/source-metadata`,description:`Inspect raw text file headers, parse configurations, and execution logs to troubleshoot hardware file adapter compatibility.`},{name:`Segmented Data Workflows`,href:`/docs/advanced/segmented-data-workflows`,description:`Create timeline crops, split trials, and set custom onset/offset buffers to isolate specific epochs in raw eye-tracking runs.`},{name:`App Dev Build`,href:`/docs/advanced/app-dev-build`,description:`Developer setup guide. Install node packages, configure the Vite bundler, compile assets, and contribute to the Svelte codebase.`},{name:`Docs Dev Build`,href:`/docs/advanced/docs-dev-build`,description:`Guidelines for modifying documentation. Run the local docs dev server, edit Markdown content, and structure YAML frontmatter.`},{name:`Download GazePlotter`,href:`/docs/advanced/download-gazeplotter`,description:`Install GazePlotter locally as a Progressive Web App (PWA) on Windows, macOS, Linux, or mobile for secure, offline analysis.`},{name:`Embedding GazePlotter`,href:`/docs/advanced/embedding`,seoTitle:`Embed Eye-Tracking Plots in Your App`,description:`Embed the GazePlotter workspace as a Svelte component in your own application: Tauri or Electron desktop shells, web apps, or eye-tracking software. Covers data loading, save and open hooks, layout, and theming.`}]}];function t(e){return e===`/`?e:e.replace(/\/+$/,``)||`/`}function n(e,n){return t(e)===t(n)}function r(e,r){let a=[{name:`GazePlotter`,href:`/`},{name:`Docs`,href:`/docs`}],o=t(e).replace(/^\/docs\/?/,``);if(!o)return a;let s=r.flatMap(e=>`links`in e?e.links:[e]),c=o.split(`/`),l=`/docs`;for(let e of c){l+=`/${e}`;let t=s.find(e=>n(e.href,l));a.push({name:t?.breadcrumbName??t?.name??i(e),href:l})}return a}function i(e){return e.replace(/-/g,` `).replace(/\b\w/g,e=>e.toUpperCase())}function a(e,t){let r=t.findIndex(t=>n(t.href,e));return{prev:r>0?t[r-1]:null,next:r>=0&&r<t.length-1?t[r+1]:null}}export{e as i,a as n,n as r,r as t};