Evidence map›Paper›PMID 42180633›Full record

ArticleComputer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision2025

Look Hear: Gaze Prediction for Speech-directed Human Attention.

Sounak Mondal, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory Zelinsky, Minh Hoai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision, 2025. 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

7 authors.

Sounak MondalStony Brook University, NY, USA.
Seoyoung AhnUC Berkeley, CA, USA.
Zhibo YangWaymo LLC.
Niranjan BalasubramanianStony Brook University, NY, USA.
Dimitris SamarasStony Brook University, NY, USA.
Gregory ZelinskyStony Brook University, NY, USA.
Minh HoaiThe University of Adelaide, Adelaide, Australia.

Funding

Saccade Target Selection in Naturalistic Visual SearchR01EY030669 · NEI · STATE COLLEGE OF OPTOMETRY · PI ROBERT M MCPEEK, GREGORY J ZELINSKY · 2019 to 2026
$4.2M
NEI NIH HHS R01 EY030669
6 · The paper itself

Abstract

For computer systems to effectively interact with humans using spoken language, they need to understand how the words being generated affect the users' moment-by-moment attention. Our study focuses on the incremental prediction of attention as a person is seeing an image and hearing a referring expression defining the object in the scene that should be fixated by gaze. To predict the gaze scanpaths in this

Indexed as

Human AttentionObject ReferralScanpath Prediction

Identifiers

PMID42180633
PMCPMC13197199

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.