Evidence map›Paper›PMID 42818846›Full record

ArticleFrontiers in artificial intelligence2026

DXSP: gesture-only temporal localization of decisive moments in dyadic persuasion.

Pakpoom Chaimook, Kaoru Sumi

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pakpoom ChaimookGraduate School of Systems Information Science, Future University Hakodate, Hakodate, Japan.
Kaoru SumiGraduate School of Systems Information Science, Future University Hakodate, Hakodate, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persuasive systems must detect user engagement in real time in order to adapt their strategy. Existing methods rely primarily on facial expressions or voice signals. Both raise privacy concerns and degrade under low video quality, motion blur, and ambient noise. Body gestures offer a privacy-preserving alternative, since skeleton representations do not encode identifiable facial features. What is missing is a method that localizes the specific moments at which gesture matters, rather than averaging behavior across the whole interaction. We introduce Dyadic Cross-Sparse Pooling (DXSP), a gesture-only neural architecture that localizes sparse decisive moments in dyadic persuasion without using face, voice, or verbal content. DXSP models both participants through cross-attention, weights candidate moments by interpersonal synchrony through a concordance gate, and selects exactly

Indexed as

dyadic interactiongesture recognitionhuman-AI interactionpersuasive technologyprivacy-preserving sensingskeleton-based analysissparse attentiontemporal localization

Identifiers

PMID42818846
PMCPMC13624171

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.