Mobile Augmented Reality Interface Research Articles

The Effect of Motion Graphics in Mobile AR Interface on Self-efficacy and Cognitive Attitude

The rapid development of the mobile device has brought about a change of a new lifestyle to users based on the fusion of various IT technologies. the paradigm of digital contents was simply focused on efficiency of processing and delivery of information, today the focus has shifted toward more immediate, intuitive, real, and natural flow such as virtual reality and augmented reality. Especially the AR (Augmented Reality) naturally connected the virtual object to the real world to provide users with the effective mobile user environment. Therefore, the GUI (Graphic User Interface) of the mobile device-based augmented reality needs to be designed properly to the changed mobile environment. However, although the augmented reality is based on the video of the real world which is treated in real time, the study on the motion graphic of the virtual object organizing the user interface is not enough. Therefore, this study is aimed at empirically analyzing the effect of the motion graphic in the user interface of the mobile AR. Also, the positive effect of characteristics on improvement of Users' visual experience, self-efficacy and cognitive attitude in mobile AR motion graphics was examined. The result showed that augmented reality has a significant effect on the self-efficacy and cognitive attitude of the users' visual experience. In the future, more media research for various motion graphics of AR interface will be needed, and this study can help develop mobile AR contents.

Mobile AR Requirements for Location Based Social Networks

Utilizing the novel User Interface (UI) technology of Augmented Reality (AR) in mobile phones provides significant advantages for Location Based Social Networks (LBSN) via powerful UI that allows the user to see the world through AR view rather than via a traditional map view. Compared to use of a map based interface, it is much easier for the user to understand where the nearby friends and points of interests are located when using a mobile AR interface to access the information of LBSN services. Recent development in the commercially available high end mobile phones has made it a viable device to use globally available AR services, but there still exist some limitations when it comes to LBSN services. Especially demanding is the need to include constantly moving friends reliably and accurately as annotated objects into the AR view of a user. In this article we show for the first time that mobile phones can be utilized to create mobile AR based LBSN services and create an experimental system to validate this. We present the most important use cases of the mobile AR based LBSN services, define the key requirements for the system, and analyze how the current high end mobile phones meet these. We point out the main challenges in position and orientation accuracy, data transfer and power consumption, as well as solutions to improve these. We present results from end-user studies and our experimental system we have created to study mobile AR interface for the LBSN services, and conclude that the mobile phones can be used for creation of these services when the key challenges are resolved

Expected, sensed, and desired

Movements of interfaces can be analyzed in terms of whether they are expected, sensed, and desired. Expected movements are those that users naturally perform; sensed are those that can be measured by a computer; and desired movements are those that are required by a given application. We show how a systematic comparison of expected, sensed, and desired movements, especially with regard to how they do not precisely overlap, can reveal potential problems with an interface and also inspire new features. We describe how this approach has been applied to the design of three interfaces: pointing flashlights at walls and posters in order to play sounds; the Augurscope II, a mobile augmented reality interface for outdoors; and the Drift Table, an item of furniture that uses load sensing to control the display of aerial photographs. We propose that this approach can help to build a bridge between the analytic and inspirational approaches to design and can help designers meet the challenges raised by a diversification of sensing technologies and interface forms, increased mobility, and an emerging focus on technologies for everyday life.

Wireless User Perspectives in Europe: HandSmart Mediaphone Interface

HandSmart is one example of wearable device that can be used as a user interface for advanced mediaphones and it is based on MARISIL a Mobile Augmented Reality Interface Sign Interpretation Language. This paper will describe the interface and some of the applications of these new types of personal devices. The user-centered development methodology is discussed in brief at the end of the paper. Evolutions in technology have provided a variety of new opportunities for exploring and discovering virtual 3D worlds. Head-mounted displays and data gloves enable us to interact and immerse much better into the artificial generated 3D environment. Such devices have been advertised in the entertainment media and are recognized by the public as the symbols of virtual reality (VR). Augmented Reality that has the attribute of being more related to real world than VR by overlaying virtual sounds, feelings or visions onto our senses within the real world, can therefore extend our natural experiences. The authors believe that the new generation of mediaphones can embed these new techniques.