Evidence map›Paper›PMID 35009853›Full record

ArticleSensors (Basel, Switzerland)2021

An IoT-Enabled Information System for Smart Navigation in Museums.

Muhammad Nawaz Khan, Haseeb Ur Rahman, Mohammad Faisal, Faheem Khan, Shabir Ahmad

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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.

Muhammad Nawaz KhanNetwork System & Security Research Group, Department of Computer Science & IT, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0002-6682-7049
Haseeb Ur RahmanNetwork System & Security Research Group, Department of Computer Science & IT, University of Malakand, Chakdara 18800, Pakistan.
Mohammad FaisalNetwork System & Security Research Group, Department of Computer Science & IT, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0001-6823-5592
Faheem KhanDepartment of Computer Engineering, Gachon University, Seongnam 13120, Korea.
Shabir AhmadDepartment of Computer Engineering, Gachon University, Seongnam 13120, Korea.ORCID 0000-0002-8788-2717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet of Things (IoT) is a new paradigm that connects objects to provide seamless communication and contextual information to anyone, anywhere, at any time (AAA). These Internet-of-Things-enabled automated objects interact with visitors to present a variety of information during museum navigation and exploration. In this article, a smart navigation and information system (SNIS) prototype for museum navigation and exploration is developed, which delivers an interactive and more exciting museum exploration experience based on the visitor's personal presence. The objects inside a museum share the information that assist and navigate the visitors about the different sections and objects of the museum. The system was deployed inside Chakdara Museum and experimented with 381 users to achieve the results. For results, different users marked the proposed system in terms of parameters such as interesting, reality, ease of use, satisfaction, usefulness, and user friendly. Of these 381 users, 201 marked the system as most interesting, 138 marked most realistic, 121 marked it as easy-in-use, 219 marked it useful, and 210 marked it as user friendly. These statistics prove the efficiency of SNIS and its usefulness in smart cultural heritage, including smart museums, exhibitions and cultural sites.

Indexed as

Internet of ThingsMuseumsCommunicationInformation SystemsPersonal SatisfactionenergyIoTnavigation systempervasive computingsensor network

Identifiers

PMID35009853
PMCPMC8749525

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.