Design Guidelines for Augmented Reality User Interface: A Case Study of Simultaneous Interpretation Cognitive load theory (CLT) is concerned with the design of interfaces that allow users maximize their working memory when problem solving. This includes eliminating any subjective mental load that may be imposed by the instruction interface. Augmented reality (AR) is fast gaining application in areas of education, military, business and medicine with new AR applications developed daily. Despite its wide application little has been done in the area of design guidelines for AR user interface and the evaluation of its effect. This is necessary so as to ensure that users are not burdened by the format and amount of information presented in the augmented view. This work xe2x80x93 in xe2x80x93 progress aims to propose a framework for designing AR user interfaces that imposes reduced subjective mental workload on users. Particular attention is given to highly cognitive tasks such as simultaneous interpretation. This research work will concentrate on presenting the novel guidelines for the user interface design.

Effects of RealWorld Visual Fidelity on AR Interface Assessment: A Case Study Using AR Headup Display Graphics in Driving Recent AR research efforts have explored the use of virtual environments to test augmented reality (AR) user interfaces. However, it is yet to be seen what effects the visual fidelity of such virtual environments may have on AR interface assessment, and specifically to what degree assessment results observed in a virtual world would apply to the real world. Automotive AR headup (HUD) interfaces provide a meaningful application area to examine this problem, especially given that immersive, 3Dgraphicsbased driving simulators are established tools to examine invehicle interfaces safely before testing in real vehicles. In this work, we present an argument that adequately assessing AR interfaces requires a suite of different measures, and that such measures should be considered when debating the appropriateness of virtual environments for AR interface assessment. We present a case study that examines how an AR interface presented via HUD effects driver performance and behavior in different virtual and real environments. Twelve participants completed the study measuring driver task performance, eye gaze behavior and situational awareness during AR guided navigation in lowand highfidelity virtual simulation, and an onroad environment. Our results suggest that the visual fidelity of the environmental in which an AR interface is assessed, could impact some measures of effectiveness. Discussion is guided by a proposed initial assessment classification for AR user interfaces that may serve to guide future discussions on AR interface evaluation, as well as the suitability of virtual environments for AR assessment.