Characterization of Quality Attributes to Evaluate the User Experience in Augmented Reality

Luz E. Gutierrez; Mark M. Betts; Pedro Wightman; Augusto Salazar; Daladier Jabba; Wilson Nieto

doi:10.1109/ACCESS.2022.3216860

Characterization of Quality Attributes to Evaluate the User Experience in Augmented Reality

Luz E. Gutierrez, Mark M. Betts, Pedro Wightman, Augusto Salazar, Daladier Jabba, Wilson Nieto

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

This study proposes a characterization of quality attributes for applications that use augmented reality. This classification is done from the perspective of the user experience. The attribute identification was based on primary studies of the IEEE Xplore, Scopus, and ACM repositories. From an initial set of 1165 papers, 101 documents were selected. The document proposes two categories: objective and subjective. In the objective category 4 subcategories and 40 attributes were found, and in the subjective one 5 subcategories and 54 attributes were found. This is the first time that all these criteria are presented in a single document, which is the input for designing a comprehensive quality assurance tool for user experience in augmented reality.

Original language	English (US)
Pages (from-to)	112639-112656
Number of pages	18
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3216860
State	Published - 2022

All Science Journal Classification (ASJC) codes

General Computer Science
General Materials Science
General Engineering
Electrical and Electronic Engineering

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2022.3216860

Cite this

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abstract = "This study proposes a characterization of quality attributes for applications that use augmented reality. This classification is done from the perspective of the user experience. The attribute identification was based on primary studies of the IEEE Xplore, Scopus, and ACM repositories. From an initial set of 1165 papers, 101 documents were selected. The document proposes two categories: objective and subjective. In the objective category 4 subcategories and 40 attributes were found, and in the subjective one 5 subcategories and 54 attributes were found. This is the first time that all these criteria are presented in a single document, which is the input for designing a comprehensive quality assurance tool for user experience in augmented reality.",

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AU - Salazar, Augusto

AU - Jabba, Daladier

AU - Nieto, Wilson

PY - 2022

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AB - This study proposes a characterization of quality attributes for applications that use augmented reality. This classification is done from the perspective of the user experience. The attribute identification was based on primary studies of the IEEE Xplore, Scopus, and ACM repositories. From an initial set of 1165 papers, 101 documents were selected. The document proposes two categories: objective and subjective. In the objective category 4 subcategories and 40 attributes were found, and in the subjective one 5 subcategories and 54 attributes were found. This is the first time that all these criteria are presented in a single document, which is the input for designing a comprehensive quality assurance tool for user experience in augmented reality.

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Characterization of Quality Attributes to Evaluate the User Experience in Augmented Reality

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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