2026-10-15T09:02:49Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32145013 2026-06-16T08:33:52Z category_29056 portal_918 item_type_3 month_year_06_2026

Research data for "How Folks See Strokes" Hamila Mailee (20751341) Terence Morley (24208572) Rafael Kuffner dos Anjos (24208594) David Petrescu (23671443) Human-computer interaction empirical studies in visualization user studies shape modeling <p dir="ltr">This dataset accompanies the paper <b><i>How Folks See Strokes</i></b> by Hamila Mailee, Terence Morley, Rafael Kuffner dos Anjos, and David Petrescu, presented at <i>CGVC 2026</i>.</p><p dir="ltr">The dataset contains participant responses from an online perceptual study investigating how stroke tapering influences the perception of depth, orientation, and timeline in drawings. The study was administered via Qualtrics and consists of three blocks of forced-choice trials, each targeting a distinct perceptual quality of tapered strokes.</p><p dir="ltr">For each block, this dataset includes the raw Qualtrics export, a ground truth file, a Python preprocessing script, and processed CSV files ready for statistical analysis. JASP analysis files are also included per block.</p><p dir="ltr">Full documentation, stimulus images, repository structure, and usage instructions are available on the accompanying GitLab repository: <a href="https://gitlab.cs.man.ac.uk/b08593hm1/cgvc2026" rel="noreferrer" target="_blank">https://gitlab.cs.man.ac.uk/b08593hm1/cgvc2026</a></p> 2026-06-16T08:33:52Z Dataset Dataset 10.48420/32145013.v1 https://figshare.com/articles/dataset/Research_data_for_How_Folks_See_Strokes_/32145013 CC BY 4.0