Combined Framework of Multicriteria Methods to Identify Quality Attributes in Augmented Reality Applications
-
Published:2023-06-24
Issue:13
Volume:11
Page:2834
-
ISSN:2227-7390
-
Container-title:Mathematics
-
language:en
-
Short-container-title:Mathematics
Author:
Gutiérrez Luz E.1ORCID, Samper José Javier2ORCID, Jabba Daladier3ORCID, Nieto Wilson3ORCID, Guerrero Carlos A.1ORCID, Betts Mark M.4ORCID, López-Ospina Héctor A.5
Affiliation:
1. Faculty of System Engineering, Universidad Santo Tomás, Tunja 15003, Colombia 2. Institute of Robotics and Information and Communication Technologies (IRTIC), Universitat de València, 46980 Valencia, Spain 3. Department of Computer Science and Engineering, Universidad del Norte, Barranquilla 081007, Colombia 4. Department of Design, School of Architecture, Urbanism and Design, Universidad del Norte, Barranquilla 081007, Colombia 5. Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 12455, Chile
Abstract
This study proposes a combined framework of multicriteria decision methods to describe, prioritize, and group the quality attributes related to the user experience of augmented reality applications. The attributes were identified based on studies of high-impact repositories. A hierarchy of the identified attributes was built through the multicriteria decision methods Fuzzy Cognitive Maps and DEMATEL. Additionally, a statistical analysis of clusters was developed to determine the most relevant attributes and apply these results in academic and industrial contexts. The main contribution of this study was the categorization of user-experience quality attributes in augmented reality applications, as well as the grouping proposal. Usability, Satisfaction, Stimulation, Engagement, and Aesthetics were found to be among the most relevant attributes. After carrying out the multivariate analysis, two clusters were found with the largest grouping of attributes, oriented to security, representation, social interaction, aesthetics, ergonomics of the application, and its relationship with the user’s emotions. In conclusion, the combination of the three methods helped to identify the importance of the attributes in training processes. The holistic and detailed vision of the causal, impact, and similarity relationships between the 87 attributes analyzed were also considered. This framework will allow the generation of a baseline for the use of multicriteria methods in research into relevant aspects of Augmented Reality.
Funder
Universidad Santo Tomás Universidad del Norte
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference169 articles.
1. A Survey of Augmented Reality;Azuma;Presence Teleoper. Virtual Environ.,1997 2. Brown, M., Mccormack, M., Reeves, J., Brooks, D.C., Grajek, S., Bali, M., Bulger, S., Dark, S., Engelbert, N., and Gannon, K. (2020). 2020 EDUCAUSE Horizon Report. Teaching and Learning Edition, Educause. 3. A Systematic Review of 10 Years of Augmented Reality Usability Studies: 2005 to 2014;Dey;Front. Robot. AI,2018 4. Tatwany, L., and Ouertani, H.C. (2017, January 19–21). A Review on Using Augmented Reality in Text Translation. Proceedings of the 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), Muscat, Oman. 5. Augmented-Reality Survey: From Concept to Application;Kim;KSII Trans. Internet Inf. Syst.,2017
|
|