Crowdsourcing design guidance for contextual adaptation of text content in augmented reality
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Augmented Reality (AR) can deliver engaging user experiences that seamlessly meld virtual content with the physical environment. However, building such experiences is challenging due to the developer's inability to assess how uncontrolled deployment contexts may infuence the user experience. To address this issue, we demonstrate a method for rapidly conducting AR experiments and real-world data collection in the user's own physical environment using a privacy-conscious mobile web application. The approach leverages the large number of distinct user contexts accessible through crowdsourcing to efciently source diverse context and perceptual preference data. The insights gathered through this method complement emerging design guidance and sample-limited lab-based studies. The utility of the method is illustrated by reexamining the design challenge of adapting AR text content to the user's environment. Finally, we demonstrate how gathered design insight can be operationalized to provide adaptive text content functionality in an AR headset.
Dudley , J J , Jacques , J T & Kristensson , P O 2021 , Crowdsourcing design guidance for contextual adaptation of text content in augmented reality . in CHI '21 : Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems . , 731 , Conference on Human Factors in Computing Systems - Proceedings , Association for Computing Machinery, Inc , 2021 CHI Conference on Human Factors in Computing Systems , Virtual, Online , Japan , 8/05/21 . https://doi.org/10.1145/3411764.3445493conference
Copyright © 2021 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
DescriptionFunding Information: This work was supported by EPSRC (grants EP/R004471/1 and EP/S027432/1). Supporting data for this publication is available at https://doi.org/10.17863/CAM.62931.
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