Eye-movement Types: Added eye-movement type metrics (per-type counts, time budgets, segment durations, and saccadic latency) and the Eye-movement Comparison plot that draws them, one distribution per type. Types merged in the Eye-movement Type Library are measured as one, and each metric can also be picked at a single type for the scalar plots.
Linked Hovering: Hovering one plot marks the same moment and the same participant in the others, within a stimulus for moments and across stimuli for participants. See Linked Hovering Across Plots.
Scanpath Similarity: The ScanGraph network now follows Doležalová and Popelka (2016): article-scored Needleman-Wunsch, so its threshold is the article’s p, plus a percentage-of-edges reading and clique groups. Levenshtein and Needleman-Wunsch are separate metrics now, each with a collapsed variant.
Selections: The eye-movement type and event libraries ship Just fixations and No events as ordinary selections, replacing the built-in picker options; older workspaces are pointed at them automatically.
Plots: Metric Timeline paints only where its metric actually measured.
Internals: A shared distribution layer behind the comparison plots, unified plot highlight marks, and the workspace canvas behaviours split into their own modules.
1.9.2
Released on July 23, 2026
Merging & Selections: Redesigned the AOI, participant, stimuli, event, and eye-movement type libraries around one shared mechanism: click rows to select them, then merge, split, or save them as a named selection from the tray. Selections are shared across the workspace and replace both per-plot hide toggles and the older participant groups - a plot narrows to a selection, and everything outside it stays counted (e.g. as No AOI). Event and eye-movement type pickers offer a built-in None that turns the layer off (e.g. no event overlay, or a fixations-only Scarf). Workspaces saved with the old hide settings or participant groups open automatically.
Plots: Added the Metric Matrix plot - a participants × stimuli grid showing one scalar metric value per cell, with missing or unusable recordings rendered distinctly for quick data-quality screening. The option to hide No AOI data is now available on Scarf plots as well.
Metrics: Reorganized the Metric Library picker around what each metric measures, with the produced output shape chosen during metric configuration.
Internals: Removed the legacy hide mechanism, pruned dead code and unused exports across plots, modals, and the data layer, and unified shared components.
1.9.1
Released on July 09, 2026
Export: Added batch plot exporting, a new metric export replacing the hardcoded metrics export, an export progress bar, and fixed display names in exports.
Plots: Added insufficient height warnings, refined evolving plots, and made Scarf plot automatically reset its time range to 0 when dragged fully. Fixed syncing edge cases.
UI: Redesigned notifications (toasts) with auto-close indicators. Polished visuals for multi-select, tooltips, context menus, and base layout. Improved default AOI colors and simplified the Metric Library header.
Performance: Refactored plot internals for unified rendering and a slight performance gain.
1.9.0
Released on June 22, 2026
Redesigned Workspace: Select one or more plots to move, resize, or change their stimulus, participant group, and other settings together (selecting elements opens a dedicated pane to configure all parameters at once). Saved workspaces from earlier versions open automatically.
New Visualizations:
Recurrence Plot - N×N matrix revealing temporal self-similarity in a single participant’s fixation sequence.
Scanpath - 2D spatial trajectory overlay plot showing fixation locations, index order, and sequence overlays on the stimulus.
Scanpath Similarity - Pairwise comparison matrix of sequence alignments with graph-based ScanGraph network thresholding.
Metric Timeline - Rolling temporal binned heatmap matrices or line trend overlays tracing scalar metrics.
Metric Correlation - Multi-select correlation heatmaps and Scatter Plot Matrices (SPLOM) with Pearson/Spearman algorithms.
Metrics Library: central DSL engine for configuring, parameterizing, and projecting eye-tracking metrics (dwell time, counts, latency, transitions, RQA, similarity).
Eye-movement Type Library: Customize, rename, and group eye-movement categories (such as fixations, saccades, and unclassified events) using the category customization library.
