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Dashboard views: signal classification, trends, document location, usage categories, context, concordance, and word trees
Guidance reach by term
How the Signal tab is calculatedThis tab asks, for each exact occurrence, does this word name guidance produced by the current paper’s research contribution? Everything is computed over the 3,877-paper IEEE VIS corpus (1990–2024). Use the guidance views for this verified authored-guidance signal and Overall usage for the plain prevalence baseline.
Overall usage (baseline)What it means. How widely a term appears in the corpus at all, in any sense, before any judgement about meaning.
How it is calculated. A paper is counted once if it contains the term in any sense:
papers containing the term ÷ 3,877 corpus papers × 100
This is the same measure as “Overall use” in the Trends tab.
Guidance usage (the focus)What it means. Appearances where the matched term itself names design or practice guidance that the current paper authors, derives, or explicitly owns as part of its findings, interviews, analysis, design work, or stated contribution.
How each appearance is classified. Every exact occurrence is evaluated separately. The classifier uses document location and local context, but a positive result requires both a guidance role and a direct grammatical link between that matched word and the current paper’s work:
- Guidance-adjacent: the matched word directly names guidance produced by the current paper (for example, we derive design principles from our interviews).
- Ambiguous / not verified: the phrase sounds like guidance or occurs in current-paper prose, but the matched word is not directly established as the paper’s authored guidance. Bare headings such as Design Implications remain here.
- Likely non-guidance: prior or related work, citations and titles, general principles, idioms, technical senses, and system-generated outputs.
- Guidance reach (default view): the absolute number of papers that use the term in a guidance-adjacent sense (prevalence combined with share).
- Guidance share: of a term’s appearances, the percentage that are guidance-adjacent, on either basis:
Per mention: guidance-adjacent occurrences ÷ all occurrences of the term × 100Per paper: papers with ≥1 guidance-adjacent use ÷ papers using the term × 100 - Grid: the guidance-adjacent / ambiguous / non-guidance split for every term at once, as a colour grid.
For each term, let x be papers with at least one guidance-adjacent use, n be all papers containing the term, p̂ = x/n, and z = 1.96 for 95% confidence. No bootstrap or yearly averaging is used.
d = 1 + z²/ncenter = (p̂ + z²/(2n)) / dhalf-width = z × √(p̂(1−p̂)/n + z²/(4n²)) / dinterval = center ± half-width
Worked example. For principle, x = 31 and n = 1,328. The observed share is 2.3%; the Wilson calculation gives 1.6%–3.3% after rounding to one decimal place.
What it means. The bar is the descriptive classified share for this indexed corpus. The interval is a model-based indication of how stable that proportion is when these papers are treated as evidence of a broader publication pattern. Under repeated comparable samples, about 95% of intervals calculated this way would contain the underlying proportion.
What it does not show. The interval is not yearly variation, a range of observed values, or uncertainty from extraction and heuristic classification. It assumes each paper contributes one independent binary outcome. Sparse terms produce wider intervals and should be interpreted cautiously.Share and reach come apart: a term can have a relatively high verified share but occur in few papers, or be common overall while rarely naming guidance produced by the current paper.
Per mention vs. per paper. Per mention can be dominated by a few papers that repeat a word many times (e.g. recommender-systems papers and recommendation); per paper counts each paper once and better reflects guidance reach. Accuracy. Guidance share and reach use the full per-occurrence classification counts, not a sample. A heading, guidance-like phrase, or nearbywe/our cue is never sufficient by itself. The conservative classifier is auditable in the evidence views, but local excerpts still do not replace full-paper manual coding.