Evidence map›Paper›PMID 40949828›Full record

ArticleMethodsX2025

Voice-based user interface for hands-free data entry and automation at workplaces.

Daiwiik Harihar, Vedansh Shrivastava, Pratvina Talele, Aditi Jahagirdar

Abstract read
In one paragraph

Article in MethodsX, 2025. 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

4 authors.

Daiwiik HariharSchool of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Paud Road, Kothrud, Pune, Maharashtra 411038, India.
Vedansh ShrivastavaSchool of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Paud Road, Kothrud, Pune, Maharashtra 411038, India.
Pratvina TaleleSchool of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Paud Road, Kothrud, Pune, Maharashtra 411038, India.
Aditi JahagirdarSchool of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Paud Road, Kothrud, Pune, Maharashtra 411038, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for hands-free interaction in modern workplaces has led to the development of Voice-Based User Interfaces (VUIs) that enhance accessibility, efficiency and automation. This research presents the Voice-Based User Interface for Hands-Free Data Entry and Automation at Workplaces. The system enables real-time speech-to-text transcription, allowing users to interact with workplace applications without manual input, making it intuitive, user-friendly and capable of enhancing efficiency and convenience in various workplace scenarios. Through extensive testing and evaluation, the study demonstrates the practicality and benefits of the Voice-Based User Interface for hands-free data entry and automation.

Indexed as

Automation in workplaceHands-free data entryHuman-computer interaction (HCI)Natural language processing (NLP)Real-time transcriptionSpeech-to-textUser experienceVoice-based user interface (VUI)Voice recognitionWebspeechapiWIT.AIWorkplace automation

Identifiers

PMID40949828
PMCPMC12423416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.