Evidence map›Paper›PMID 39896397›Full record

ArticlePeerJ. Computer science2024

Usability and optimization of online apps in user's context.

M Waseem Iqbal, Khlood Shinan, Shahid Rafique Shahid Rafique, Abdullah Alourani, M Usman Ashraf, Nor Zairah Ab Rahim

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2024. 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

6 authors.

M Waseem IqbalFaculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Malaysia.
Khlood ShinanDepartment of Computers, College of Engineering and Computers in Al-Lith, Umm Al-Qura University, Makkah, Saudi Arabia.
Shahid Rafique Shahid RafiqueDepartment of Computer Science, Superior College, Lahore, Lahore, Punjab, Pakistan.
Abdullah AlouraniDepartment of Management Information Systems, College of Business and Economics, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0001-6794-3677
M Usman AshrafDepartment of Computer Science, GC Women University Sialkot, Sialkot, Pakistan.
Nor Zairah Ab RahimFaculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Malaysia.ORCID 0000-0002-4940-4669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The OptiFlow framework introduces a novel approach for enhancing usability evaluation and optimization known as OptiFlow. This framework combines heuristic evaluation with a web-based platform to provide a comprehensive method for assessing and optimizing user experiences in online applications. The architecture of OptiFlow incorporates key components, including the user, website, web service, and library, enabling seamless interaction and data exchange. A set of 240 usability guidelines, derived from a multidisciplinary expert collaboration, are systematically categorized into 15 usability categories, aligned with established design principles. Guidelines within OptiFlow are assigned implementation levels: "Green" for easily implementable guidelines, "Amber" for moderately complex ones, and "Red" for highly complex guidelines. These levels prioritize tasks based on complexity and feasibility. The framework's integration of guidelines into a structured SQL database simplifies implementation challenges, and the "execute" function systematically assesses website adherence to guidelines, resulting in True, False, or Null outcomes. Usability assessment outcomes are presented through categorized and prioritized data views for each implementation level, allowing stakeholders to address high-priority concerns efficiently. The OptiFlow framework represents an innovative approach to usability evaluation, fostering enriched user experiences and finely tuned digital interfaces. Future advancements may include additional rule types and the integration of advanced technologies for tackling intricate usability challenges. Ultimately, OptiFlow paves the way for proactive user experience enhancement and digital interface optimization in an ever-evolving digital landscape.

Indexed as

HCIOptiFlowText miningUsability assessment

Identifiers

PMID39896397
PMCPMC11784876

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.