Despite the increasingly sophisticated capabilities of mobile AR guidance applications in providing new ways of interacting with the surrounding environment, empirical research remains needed in four principal areas: 1) identifying user needs and use cases, 2) developing an appropriate theoretical framework, 3) understanding user's interactions with the surrounding environment, and 4) avoiding information overload. To address these needs, a mixed-methods approach, involving two studies, was used to extend current Situation Awareness (SA) theory and evaluate the application of an extended theory. These were achieved in the context of a reality-augmented environment for the task of exploring an unfamiliar urban context.

The first study examined SA in terms of the processes that an individual employs and the essential requirements needed to develop SA for the case of urban exploratory navigation using mobile augmented reality (MAR). From this study, SA-supported design implications for an MAR guidance application were developed, and used to evaluate the application of an extended SA theoretical cognitive model. The second study validated the earlier findings, and involved two specific applications of the translated SA-supported interface design and an evaluation of five conceptual design concepts.

Results of the AR interface application suggested a significant SA-supported interface design effect on user's SA, which is dependent on the number of Points of Interest (POIs) included in the interface. Results of the embedded Map interface application showed a significant SA-support interface design effect on a user's SA. The SA-supported interface designs helped participants complete task queries faster and led to higher perceived interface usability.

This work demonstrates that, by adopting a systematic approach, transformed requirements can be obtained and used to design and develop SA-supported strategies. In doing so, subsequent implementation of SA-supported strategies could enhance a user's SA in the context exploratory navigation in an urban environment using MAR. Indeed, a validation process was initiated for the extracted user requirements, by conducting evaluations on these SA-supported strategies. Finally, a set of preliminary design recommendations is proposed, with the goal of their eventual incorporation into the design and development of more effective mobile AR guidance applications.