Evidence map›Paper›PMID 39205057›Full record

ArticleSensors (Basel, Switzerland)2024

An Approach of Query Audience's Attention in Virtual Speech.

Hongbo Kang, Rui Yang, Ruoyang Song, Chunjie Yang, Wenqing Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Hongbo KangSchool of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.
Rui YangSchool of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.ORCID 0009-0003-5848-284X
Ruoyang SongSchool of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.
Chunjie YangSchool of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.
Wenqing WangSchool of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.ORCID 0000-0003-2818-1635

Funding

the Shaanxi Provincial Department of Science and Technology key project 2018ZDXM-GY-039
6 · The paper itself

Abstract

Virtual speeches are a very popular way for remote multi-user communication, but it has the disadvantage of the lack of eye contact. This paper proposes the evaluation of an online audience attention based on gaze tracking. Our research only uses webcams to capture the audience's head posture, gaze time, and other features, providing a low-cost method for attention monitoring with reference values across multiple domains. Meantime, we also propose a set of indexes which can be used to evaluate the audience's degree of attention, making up for the fact that the speaker cannot gauge the audience's concentration through eye contact during online speeches. We selected 96 students for a 20 min group simulation session and used Spearman's correlation coefficient to analyze the correlation between our evaluation indicators and concentration. The result showed that each evaluation index has a significant correlation with the degree of attention (

Indexed as

AttentionEye MovementsSpeechElectroencephalographyEye-Tracking TechnologyFemaleHumansMaleUser-Computer Interfaceattention evaluationEEGeye contactgaze trackingvirtual speech

Identifiers

PMID39205057
PMCPMC11359125

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.