Evidence map›Paper›PMID 35890917›Full record

ArticleSensors (Basel, Switzerland)2022

Pietro Battistoni, Marianna Di Gregorio, Marco Romano, Monica Sebillo, Giuliana Vitiello

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

5 authors.

Pietro BattistoniComputer Science Department, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.ORCID 0000-0002-7477-2439
Marianna Di GregorioComputer Science Department, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.ORCID 0000-0002-2743-9051
Marco RomanoComputer Science Department, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.ORCID 0000-0002-8581-3160
Monica SebilloComputer Science Department, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.ORCID 0000-0003-3731-6415
Giuliana VitielloComputer Science Department, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.ORCID 0000-0001-7130-996X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient Intelligence is a vision of daily life in which intelligent devices interact with humans to make their lives easier, and the technology is invisible. Artificial Intelligence (AI) governs this smart environment and must interact with humans to best meet their needs and demands. Although voice assistants are very popular and efficient as conversational AI, under some conditions they cannot be used. Therefore, this work proposed a complementary tactile and tangible interface to converse with AI, creating new

Indexed as

Artificial IntelligenceTouch PerceptionHumansambient intelligenceconversational AIESP32haptic interfacehuman–computer interactiontactile interfacetangible interfacewireless device

Identifiers

PMID35890917
PMCPMC9316167

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.