Crowdsourcing Design Guidance for Contextual Adaptation of Text Content in Augmented Reality

Dudley, John J.; Jacques, Jason T.; Kristensson, Per Ola

doi:10.1145/3411764.3445493

Cited by 10 publications

(4 citation statements)

References 31 publications

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“…The authors in [52] found that using white text with a blue panel background was the best for user readability in AR headsets. In [53], the authors conducted a crowd-sourcing study on user preferences for colors for text and background panels in AR smartphone applications. Most of the participants preferred red or blue background panels with white text.…”

Section: Presentation Of Information In Ar Headsetsmentioning

confidence: 99%

“…Most of the participants preferred red or blue background panels with white text. However, prior work has also recommended transparent backgrounds [45], which was not an option for participants in [53]. The authors in [45] conducted a user study, in which participants organized items in a grocery store while viewing product information in an AR headset in two modes: see through mode (i.e., transparent) or panel overlay (i.e., opaque background).…”

Section: Presentation Of Information In Ar Headsetsmentioning

confidence: 99%

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Designing Critical and Secondary Information in Augmented Reality Headsets for Situational Awareness

Woodward¹,

Smith²,

Wang³

et al. 2023

J. Engg. Res. & Sci.

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Augmented Reality (AR) headsets are being used in different contexts (e.g., the oil industry, healthcare, military); however, there is a lack of research and design recommendations on how information should be presented in the AR headset displays, especially for aiding users' situational awareness. We present two studies: one examining if existing findings on the perceptibility of three types of visual stimulus (color, text, shapes) can be applied to AR headsets for critical information, and one analyzing three different presentation styles (Display, Environment, Mixed Environment) for textual secondary information in AR headsets. Our study on secondary information is an extension of prior work. For critical information, we found that existing visual perception findings can be applied to AR headsets; there is a hierarchy of salient visual features. Understanding that we can utilize prior work on visual features helps in designing salient critical information for AR headset displays. For secondary information, we found that having the text in the Display and Environment presentation styles assisted in participants' perception and comprehension when compared to the Mixed Environment presentation style. Based on our results, we provide design recommendations on how to present critical and secondary information in AR headset displays to aid in users' situational awareness, which is essential in safety crucial domains such as the military.

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Section: Presentation Of Information In Ar Headsetsmentioning

confidence: 99%

Section: Presentation Of Information In Ar Headsetsmentioning

confidence: 99%

Designing Critical and Secondary Information in Augmented Reality Headsets for Situational Awareness

Woodward¹,

Smith²,

Wang³

et al. 2023

J. Engg. Res. & Sci.

View full text Add to dashboard Cite

show abstract

“…Desktop-based remote studies in Q3 were notably made up of perception studies [16,57], surveys [39,59,68], walkthroughs [13,42] and interviews with experts [8,20,59] and/or amateurs [42,49]; as well as one distributed elicitation study [2]. Similar to Q1, studies that used mobile technologies (HMD, phone or tablet) were generally web based [15,57], or required the user to download an application [44,50].…”

Section: Study Type: Remote Vs Localmentioning

confidence: 99%

“…Consequently, it should either be ensured that participant screening is robust and effectively removes any compromising data [30], or that users are walked through remotely and moderated via video-conferencing software; using tools such as screen sharing with remote mouse control [20]. Online platforms that were commonly utilised included Crowdlicit [2], Prolific [39,48], Mechanical Turk [15,47], Zoom [10,42], social media sites such as Reddit [37] and web-based Unity applications [51] or simulations [37,57].…”

Section: Study Type: Remote Vs Localmentioning

confidence: 99%

Socially Distanced: Have user evaluation methods for Immersive Technologies changed during the COVID-19 pandemic?

Spittle

Frutos-Pascual

et al. 2021

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

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Since the emergence of COVID-19 in late 2019, there has been a significant disturbance in human-to-human interaction that has changed the way we conduct user studies in the field of Human-Computer Interaction (HCI), especially for extended (augmented, mixed, and virtual) reality (XR). To uncover how XR research has adapted throughout the pandemic, this paper presents a review of user study methodology adaptations from a corpus of 951 papers. This corpus of papers covers CORE 2021 A* published conference submissions, from Q2 2020 through to Q1 2021 (IEEE ISMAR, ACM CHI, IEEE VR). The review highlights how methodologies were changed and reported; sparking discussions surrounding how methods should be conveyed and to what extent research should be contextualised, by drawing on external topical factors such as COVID-19, to maximise usefulness and perspective for future studies. We provide a set of initial guidelines based on our findings, posing key considerations for researchers when reporting on user studies during uncertain and unprecedented times.

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LimberUI: A Model-Based Design Tool for 3D UI Layouts Accommodating Uncertainty in Context of Use and User Attributes

Lee,

Lee

2024

Lecture Notes in Computer Science

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Crowdsourcing Design Guidance for Contextual Adaptation of Text Content in Augmented Reality

Cited by 10 publications

References 31 publications

Designing Critical and Secondary Information in Augmented Reality Headsets for Situational Awareness

Designing Critical and Secondary Information in Augmented Reality Headsets for Situational Awareness

Socially Distanced: Have user evaluation methods for Immersive Technologies changed during the COVID-19 pandemic?

LimberUI: A Model-Based Design Tool for 3D UI Layouts Accommodating Uncertainty in Context of Use and User Attributes

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