HRI Writing Style
HRI reviewers come from robotics, HCI, psychology, and design at once. A sentence that a roboticist
finds obvious may be opaque to a psychologist and vice versa, so HRI prose must be legible across
disciplines while making a rigorous contribution its home track can judge. You have 8 pages
(including figures, excluding references) in the ACM acmart template — a tight budget that rewards
a clear arc and punishes throat-clearing. This skill builds the paper for that audience and budget.
The HRI first-page arc
Lead with the interaction, not the machinery:
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The interaction problem — a question about what happens between a person and a robot, in
one or two sentences, in the first breath.
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Why we do not yet know — the gap: what prior work measured, and why it does not answer this
question (often: stated attitudes measured where behavior matters, or systems evaluated without
people).
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The contribution, stated for your track — a designed behavior/system/interface, a finding
about people, a method, or a concept — named as the kind of contribution your track reviews.
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The study — an embodied robot, real participants, a design a reviewer can judge, evidence
proportional to the claim.
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What it means for designing interactive robots — the implication, concrete.
See resources/worked-examples/01-introduction.md for a fictional before→after that executes this
arc.
Make the study legible: state design, hypotheses, and measures
HRI's empirical reviewers expect the scaffolding to be explicit, ideally by the end of the
introduction or the top of the method:
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Design — between-subjects, within-subjects, or mixed; conditions and what is manipulated.
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Hypotheses or research questions — stated as predictions (H1, H2...) for confirmatory work, or
as RQs for exploratory/qualitative work. Do not disguise an exploratory study as confirmatory.
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Measures — which construct each dependent variable operationalizes, and whether the instrument
is validated (e.g., a named trust/anthropomorphism scale) or bespoke (justify it).
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Robot and task — enough that a reader pictures the embodiment and the interaction (and point
to the video).
A paper that hides its design until Section 4 forces reviewers to reverse-engineer it, which reads
as evasion.
Describe the robot embodiment (and lean on the video)
HRI is about embodied interaction, so the robot is not a detail:
- Name the platform and the relevant capabilities/behaviors; show it in a figure and the video.
- Distinguish what was autonomous from what was teleoperated / Wizard-of-Oz — reviewers will
look for this, and hiding it is a credibility risk (see
hri-experiments).
- Describe the interaction as it unfolds in time; static prose under-serves a temporal phenomenon,
which is exactly what the video is for (see
hri-supplementary).
Claims proportional to the study
The fastest way to lose an HRI reviewer is a claim the study cannot support:
- A single lab study with one robot and short exposure supports a bounded claim, not a universal
law about "robots." Say "in this task, with this robot," and frame generality as future work.
- Report effect sizes and confidence intervals, not just p-values; "significant" without a
magnitude is uninformative about whether the effect matters for design.
- For qualitative work, claim insight and transferability, not frequency; report your analysis
method (e.g., thematic analysis) and reflexivity, not a fake sample size.
- Match the verb to the evidence: "suggests," "indicates," "in our study" — not "proves."
Write for the interdisciplinary reader
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Define discipline-specific terms once. A roboticist's "policy," a psychologist's "valence,"
and a designer's "probe" each need a gloss for the other two-thirds of the room.
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Justify constructs, don't assume them. Explain why the measured construct (trust, warmth,
competence, mind perception) is the right one for the interaction you study.
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Prefer plain figures. A clear condition diagram and a results plot with error bars communicate
across fields better than dense tables.
Budget discipline (8 pages, acmart)
- The template is fixed; recover space by cutting, not by shrinking margins or fonts (a
formatting violation is a desk-reject risk — see
hri-submission).
- Move detailed instruments, full model tables, and extended qualitative excerpts to the
supplement, keeping in the body only what a reviewer must read to judge the paper (see
hri-supplementary).
- References do not count against the 8 pages — but the body does, including figures. Budget
figure space deliberately.
Anti-patterns HRI reviewers flag
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System-first framing — leading with a capability and accuracy, burying the human question
(route-signal that this may be an ICRA/IROS paper; see
hri-topic-selection).
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Scale dump — administering many questionnaires and reporting whatever turned out significant,
with no pre-registration and no correction.
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Undisclosed Wizard-of-Oz — presenting teleoperated behavior as autonomous.
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Liking as outcome — using a vague "users liked it" in place of the behavioral or theory-linked
outcome the claim needs.
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Over-signposting — a paragraph of "Section 2 does X" standing in for an argument.
Output format
[First-page arc] problem → gap → contribution(track) → embodied study → design implication: present?
[Study legibility] design / hypotheses-or-RQs / measures stated early? yes/no
[Embodiment] robot described + video referenced? autonomy vs WoZ clear?
[Claim proportionality] claims bounded to the study? effect sizes reported?
[Budget] pages used (body incl. figures / refs) · formatting clean?
[Revisions] <ordered edits with section pointers>