What is it about?
Usability testing ensures that user interfaces are easy to use. Traditionally, these tests can be complex and hard to navigate (especially linking qualitative and quantitative approaches). Our research introduces a hierarchical analysis method to simplify and enhance usability evaluation quantification. This approach prioritizes different usability aspects, allowing evaluators to focus on the most crucial elements first (as well as identifying the most relevant heuristic). This method makes the evaluation process more straightforward and precise, helping designers create better, more user-friendly interfaces.
Featured Image
Photo by Marvin Meyer on Unsplash
Why is it important?
Our method significantly advances usability testing by identifying the most relevant usability heuristics, regardless of the complexity or scale of the data involved. This adaptability ensures it can be seamlessly integrated into various heuristic evaluation frameworks. By providing robust tools for decision-making, our approach aids developers in pinpointing and prioritizing areas for improvement throughout the software development process. This capability is essential for refining user interfaces and enhancing the overall user experience in a targeted and efficient manner.
Perspectives
This project marks my initial collaboration with usability experts and is rooted in a doctoral internship in Lleida, Spain. The concept emerged from extensive brainstorming sessions, sparking my curiosity about how test characteristics like the number of items and constructs could be influenced. After returning to my home country, I worked closely with my advisor and a research team from Brazil to gather and analyze data. Despite the challenges of managing a project across different time zones, the experience of co-working and contributing to this field has been profoundly rewarding and enlightening.
Mr Leonardo Hernan Talero-Sarmiento
Universidad Autonoma de Bucaramanga
Read the Original
This page is a summary of: Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment, April 2024, MDPI AG,
DOI: 10.20944/preprints202404.0848.v1.
You can read the full text:
Resources
Preprint (First draft)
This was the first version. The reader could compare the first and last versions. Thanks to the unstoppable and energetic work of the peer reviewers.
Technology and Engineering Research Showcase
More summaries related to Technology and Engineering research
UX Remote LAB
What about doing Usability Tests in remote? Join our OpenSource project and start creating your own usability LAB and share it with friends. Researching has never been easier!
Final version online
This is the accepted paper
Contributors
The following have contributed to this page
