Towards requirements engineering with immersive augmented reality

Patkar, Nitish; Merino, Leonel; Nierstrasz, Oscar

doi:10.1145/3397537.3398472

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…The challenge that MAR technology faces is the performance of applications, because their performance depends in part on the device type and connectivity, that is, key features to be considered in test scenarios by application developers, especially mobile app developers [59], [60].…”

Section: Ar Trends and Challengesmentioning

confidence: 99%

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

et al. 2022

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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.INDEX TERMS Augmented reality (AR), category, quality attributes, user experience (UX), user interface (UI).

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Section: Ar Trends and Challengesmentioning

confidence: 99%

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

et al. 2022

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“…the dotted lines representing the far edges of the cube in Figure 2) is another disadvantage. Tools dedicated to support designers when prototyping AR applications have been created (MacIntyre et al, 2004) and AR has been used to support Participatory Design outside of the software domain (e.g., for architecture as presented in Kwieciński et al, 2017) as well as Requirements Engineering in the software domain (Patkar et al, 2020). This can improve the PD process in those areas, but the idea and goal of our envisioned tool is to specifically support Participatory Design of AR apps.…”

Section: Related Workmentioning

confidence: 99%

Beyond Paper: PDart - Participatory Design Augmented Reality tool

Heintz

Law

2021

Electronic Workshops in Computing

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This paper presents the idea of PDart, a tool that would allow end-users to actively participate in the (re-)design of extended reality (XR) application interfaces and content. The idea is based on our existing tool PDot, which supports Participatory Design (PD) by enabling end-users to shape the content and 2D interfaces of software, websites, or apps. As PDot allows the inclusion of any digital content available online as artefact to collect feedback on, it can also be used for images of AR prototypes. However, these are static and presented in a browser rather than an AR environment, which limits the experience of the participants as well as the scope of the evaluations possible. We therefore describe our plans of implementing the features of PDot in PDart, together with several challenges we might encounter along the way.

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Combined Framework of Multicriteria Methods to Identify Quality Attributes in Augmented Reality Applications

et al. 2023

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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.

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Towards requirements engineering with immersive augmented reality

Cited by 3 publications

References 26 publications

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

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

Beyond Paper: PDart - Participatory Design Augmented Reality tool

Combined Framework of Multicriteria Methods to Identify Quality Attributes in Augmented Reality Applications

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