Evidence map›Paper›PMID 38374905›Full record

ArticleBiomedical engineering letters2024

Investigation of daily patterns for smartphone keystroke dynamics based on loneliness and social isolation.

Seokbeen Lim, Chaeyeon Kim, Baek Hwan Cho, Soo-Hee Choi, Hyeongrae Lee, Dong Pyo Jang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical engineering letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Seokbeen Lim *Dept. of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.ORCID 0000-0002-4142-3478
Chaeyeon Kim *Dept. of Electronic Engineering, Hanyang University, Seoul, Republic of Korea.ORCID 0000-0003-1852-4614
Baek Hwan ChoDept. of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea.
Soo-Hee ChoiDept. of Psychiatry, Seoul National University College of Medicine and Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
Hyeongrae LeeDept. of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Dong Pyo JangDept. of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the relationship between loneliness levels and daily patterns of mobile keystroke dynamics in healthy individuals. Sixty-six young healthy Koreans participated in the experiment. Over five weeks, the participants used a custom Android keyboard. We divided the participants into four groups based on their level of loneliness (

Indexed as

Mobile keystroke dynamicsPassive mobile sensing technologySmartphone keyboardSocial isolation and loneliness

Identifiers

PMID38374905
PMCPMC10874350

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.