Abstract
Augmented Reality (AR) annotations are a powerful way of communication when collaborators cannot be present at the same time in a given environment. However, this situation presents several challenges, for example: how to record the AR annotations for later consumption, how to align virtual and real world in unprepared environments or how to offer the annotations to users with different AR devices. In this paper we present a cross-device AR annotation method that allows users to create and display annotations asynchronously in environments without the need for prior preparation (AR markers, point cloud capture, etc.). This is achieved through an easy user-assisted calibration process and a data model that allows any type of annotation to be stored on any device. The experimental study carried out with 40 participants has verified our two hypotheses: we are able to visualize AR annotations in indoor environments without prior preparation regardless of the device used and the overall usability of the system is satisfactory.
Highlights
Collaboration is a promising area of research in the field of Augmented Reality (AR)
There is a difference between finding an AR annotation and correctly identifying the annotated object
It is important to find alternatives that allow their use in unprepared environments and with different types of devices when creator and consumer are not pre‐
Summary
Collaboration is a promising area of research in the field of Augmented Reality (AR). One of the most common ways of classifying Computer Supported Collaborative Work (CSCW) is by using the space-time matrix developed in [1] and revised in [2]. It differentiates between four types of interaction, depending on whether or not the collaborators share the same physical space and whether the work is synchronous or asynchronous. Most CSCW systems using AR (hereafter AR-CSCW) focus on synchronous applications, both remote and face-to-face. In recent years, distributed systems have received the most attention, due to the fact that the most studied scenario is that of remote experts assisting local users [5]. AR allows many other functionalities such as, for example, placing annotations to convey information about an item or location when producer and consumer cannot be present at the same time
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