Title
Challenges and Opportunities on the Application of Heuristic Evaluations: A Systematic Literature Review
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
Heuristic evaluation belongs to the usability inspection methods and is considered one of the most popular methods since it allows to discover over 75% of the total usability problems involving only 3 to 5 usability experts, in comparison with user tests. However, certain problems and challenges have been identified at the time of their execution. In this study we present the results of conducting a Systematic Literature Review (SLR) to identify case studies, challenges, problems, and opportunities on the execution of heuristic evaluations in the context of a research for the automation and formalization of the process. For this SLR, we have employed the protocol proposed by Kitchenham and Charters. The research was carried out on September 7 of 2020 and retrieved a total of 167 studies of which 37 were selected for this review. The results show that the main challenges are related to the low suitability of the chosen set of heuristics and the low expertise of usability evaluators. Additionally, we have identified that exist very few software solutions that support and automate the process. Finally, we have found that there were many protocols to follow when applying a heuristic evaluation, like the definition of new usability heuristics for a given case of study. According to the results obtained, we can conclude that it is necessary to develop and validate a tool based on a formal protocol that supports and automate the heuristic evaluation process, that gives solutions to the challenges and opportunities identified in this research.
Start page
242
End page
261
Volume
12779 LNCS
Language
English
OCDE Knowledge area
Ciencias de la computación
Scopus EID
2-s2.0-85112200612
ISBN
9783030782207
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
Sponsor(s)
Acknowledgments. This study was highly supported by the Section of Informatics Engineering and the research group “HCI, Design, User Experience, Accessibility & Innovation Technologies” (HCI-DUXAIT) of the Pontificia Universidad Católica del Perú (PUCP).
Sources of information: Directorio de Producción Científica Scopus