A UX Oriented Evaluation approach for Mobile Augmented Reality Applications

Irshad, Shafaq; Awang, Dayang Rohaya Bt

doi:10.1145/3282353.3282357

Cited by 8 publications

(9 citation statements)

References 36 publications

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“…A framework for evaluating MAR applications is proposed in [49]. The framework consists of 2 main components that are instrumental and non-instrumental quality attributes of MAR.…”

Section: Ux Quality Metrics In Armentioning

confidence: 99%

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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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“…A framework for evaluating MAR applications is proposed in [49]. The framework consists of 2 main components that are instrumental and non-instrumental quality attributes of MAR.…”

Section: Ux Quality Metrics In Armentioning

confidence: 99%

“…The work in [49] describes the development and the progress in MAR from the point of view of UX. In addition, it presents a systematic study on measuring user aesthetics as non-instrumental quality attributes for measuring UX for existing MAR applications.…”

Section: Ux Quality Metrics In Armentioning

confidence: 99%

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

et al. 2022

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“…However, such physical setups and iterative assessments are costly and time-consuming, especially when AR is implemented on largescales (i.e., ubiquitously in our living spaces). Moreover, the increasing number of evaluation metrics calls for systematic evaluations of AR UIs [102]. It is therefore preferable to assess AR UI design metrics through systematic approaches and even automation, with prominent features of real-time monitoring of system performance, direct information collection via user-device interaction in AR, and more proactive responses to improve user perceptions to AR information [102].…”

Section: Metric Evaluations For Ar Uismentioning

confidence: 99%

“…Moreover, the increasing number of evaluation metrics calls for systematic evaluations of AR UIs [102]. It is therefore preferable to assess AR UI design metrics through systematic approaches and even automation, with prominent features of real-time monitoring of system performance, direct information collection via user-device interaction in AR, and more proactive responses to improve user perceptions to AR information [102]. However, to the best of our knowledge, the number of existing evaluation frameworks is very limited and their scopes are limited to specific contexts and scenarios, such as disaster management [167].…”

Section: Metric Evaluations For Ar Uismentioning

confidence: 99%

“…However, to the best of our knowledge, the number of existing evaluation frameworks is very limited and their scopes are limited to specific contexts and scenarios, such as disaster management [167]. More generic evaluation frameworks with a high selectivity of AR evaluation metrics pose research opportunities in the domain of AR interface designs [73,102].…”

Section: Metric Evaluations For Ar Uismentioning

confidence: 99%

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Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Cao,

Lam,

Lee

et al. 2021

Preprint

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Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and headworn wearables, and performs seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences by using MAR devices to provide universal accessibility to digital contents. Over the past 20 years, a number of MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discusses the latest studies on MAR through a top-down approach: (1) MAR applications; (2) MAR visualisation techniques adaptive to user mobility and contexts; (3) systematic evaluation of MAR frameworks including supported platforms and corresponding features such as tracking, feature extraction plus sensing capabilities; and (4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields, current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike. CCS Concepts: • Human-centered computing → Mixed / augmented reality; Graphical user interfaces; • Software and its engineering → Development frameworks and environments; • Computing methodologies → Machine learning approaches.

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Augmented Reality Books: A User Experience Evaluation

Casteleiro-Pitrez

2022

Lecture Notes in Computer Science

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A UX Oriented Evaluation approach for Mobile Augmented Reality Applications

Cited by 8 publications

References 36 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

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Augmented Reality Books: A User Experience Evaluation

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