Investigating Search Among Physical and Virtual Objects Under Different Lighting Conditions

Kim, You-Jin; Kumaran, Radha; Sayyad, Ehsan; Milner, Anne; Bullock, Tom; Giesbrecht, Barry; Höllerer, Tobias

doi:10.1109/tvcg.2022.3203093

Cited by 14 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Light, texture, and color: However, the physical attributes of an environment are not the only factors which should inform the positioning and properties of AR user interface elements -the light, texture, and colors present also affect visibility and intelligibility. For example, on the OST displays employed on a number of state-of-the-art AR headsets, visibility of virtual content (and as a result usability, user comfort, and sense of presence) is lower at higher levels of illuminance, even those commonly encountered in indoor environments [49,86,96]. Not only does the additive nature of these displays mean that any virtual content added is less perceptible, but real-world background textures that are visible through dark, transparent regions of virtual content are more visible.…”

Section: Spatial and Semantic Understandingmentioning

confidence: 99%

Ambient Intelligence for Next-Generation AR

Scargill¹,

Eom²,

Chen³

et al. 2023

Preprint

View full text Add to dashboard Cite

Next-generation augmented reality (AR) promises a high degree of context-awareness -a detailed knowledge of the environmental, user, social and system conditions in which an AR experience takes place. This will facilitate both the closer integration of the real and virtual worlds, and the provision of context-specific content or adaptations. However, environmental awareness in particular is challenging to achieve using AR devices alone; not only are these mobile devices' view of an environment spatially and temporally limited, but the data obtained by onboard sensors is frequently inaccurate and incomplete. This, combined with the fact that many aspects of core AR functionality and user experiences are impacted by properties of the real environment, motivates the use of ambient IoT devices, wireless sensors and actuators placed in the surrounding environment, for the measurement and optimization of environment properties. In this book chapter we categorize and examine the wide variety of ways in which these IoT sensors and actuators can support or enhance AR experiences, including quantitative insights and proof-of-concept systems that will inform the development of future solutions. We outline the challenges and opportunities associated with several important research directions which must be addressed to realize the full potential of next-generation AR.

show abstract

Section: Spatial and Semantic Understandingmentioning

confidence: 99%