Investigation of Size Variations in Optical See-through Tangible Augmented Reality

Kahl, Denise; Ruble, Marc; Krüger, Antonio

doi:10.1109/ismar52148.2021.00029

Cited by 5 publications

(2 citation statements)

References 33 publications

(34 reference statements)

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“…This classification is based on whether the experiment requires any type of response or input behavior from participants. Examples of users' feedback include asking participants to report a target's color [61], [67], to fill in a questionnaire after the experiment is over [6], [68], or automatically logged responses, such as time spent on achieving pre-set goals [53], [69], or accuracy in putting virtual objects in the correct position in the environment [70], [71]. Studies that incorporate users' responses are the most common category among the types of measurement, likely because capturing direct feedback from users is a quick and easy way to obtain experimental data.…”

Section: Categorization: Environmental Factors User or Device Measure...mentioning

confidence: 99%

Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices

Guo

Bakdash

Marusich

et al. 2022

IEEE Trans. Instrum. Meas.

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Augmented Reality (AR) and Mixed Reality (MR) have been two of the most explosive research topics in the last few years. Head-Mounted Devices (HMDs) are essential intermediums for using AR and MR technology, playing an important role in the research progress in these two areas. Behavioral research with users is one way of evaluating the technical progress and effectiveness of HMDs. In addition, AR and MR technology is dependent upon virtual interactions with the real environment. Thus, conditions in real environments can be a significant factor for AR and MR measurements with users. In this paper, we survey 87 environmental-related HMD papers with measurements from users, spanning over 32 years. We provide a thorough review of AR-and MR-related user experiments with HMDs under different environmental factors. Then, we summarize trends in this literature over time using a new classification method with four environmental factors, the presence or absence of user feedback in behavioral experiments, and ten main categories to subdivide these papers (e.g., domain and method of user assessment). We also categorize characteristics of the behavioral experiments, showing similarities and differences among papers.

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Section: Categorization: Environmental Factors User or Device Measure...mentioning

confidence: 99%

Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices

Guo

Bakdash

Marusich

et al. 2022

IEEE Trans. Instrum. Meas.

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“…AR features an exceptional characteristic that establishes immersive experiences where users intimately interact with the virtual object floating in front of their field of view Azuma [1997], Billinghurst et al [2015]. With the rapid development of hardware technology, head-mounted display (HMD) AR has become widespread in many contexts since it enables interaction between digital information and human hands Kahl et al [2021]. Under this circumstance, manipulation tasks that require interaction with the virtual objects can be achieved more accurately and quickly than when using conventional tangible interfaces Besançon et al [2017], Kress et al [2014].…”

Section: Introductionmentioning

confidence: 99%

Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography

Zhang¹,

Xuan²,

Yadav³

et al. 2023

Preprint

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Industrial process tomography (IPT) is a specialized imaging technique widely used in industrial scenarios for process supervision and control. Today, augmented/mixed reality (AR/MR) is increasingly being adopted in many industrial occasions, even though there is still an obvious gap when it comes to IPT. To bridge this gap, we propose the first systematic AR approach using optical see-through (OST) head mounted displays (HMDs) with comparative evaluation for domain users towards IPT visualization analysis. The proof-of-concept was demonstrated by a within-subject user study (n=20) with counterbalancing design. Both qualitative and quantitative measurements were investigated. The results showed that our AR approach outperformed conventional settings for IPT data visualization analysis in bringing higher understandability, reduced task completion time, lower error rates for domain tasks, increased usability with enhanced user experience, and a better recommendation level. We summarize the findings and suggest future research directions for benefiting IPT users with AR/MR.

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Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography

Zhang,

Xuan,

Yadav

et al. 2023

Lecture Notes in Computer Science

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Investigation of Size Variations in Optical See-through Tangible Augmented Reality

Cited by 5 publications

References 33 publications

Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices

Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices

Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography

Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography

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