Description
Mobile devices are becoming ever more sophisticated which makes them particularly suitable for mobile augmented reality (AR) solutions. The quality of AR libraries is improving enabling high quality implementation of novel interfaces, such as the Mag-ic Lens (ML) [1].
Yet, despite the fact that AR apps utilizing ML interaction paradigm became avail-able to a large number of users [6], it is still uncertain in which contexts could users benefit with ML interface. While some comparative studies of ML with more tradi-tional interfaces, such as the Static Peephole (SP) [7] interface, did not identify clear advantages of the ML for tasks such as navigation [2] or information browsing tasks [3], other studies demonstrated that ML is advantageous in certain circumstances (i.e. when the AR workspace was large [4] or the social setting allowed expressive spatial interaction [5]).
We hypothesize that the poor task performance of the ML is mainly the result of user studies evaluating ML paradigm on low-level tasks such as pointing , selecting, and (basic) information browsing [4, 8]. Studying performance issues of these funda-mental tasks is important as they are some of the main building blocks of human-computer interaction. Nevertheless, when performing tasks of low complexity, sur-rounding contextual information is not important for successful task completion. In other words, a list like presentation of results or a 2D map interface would already meat the requirements of the task at hand (i.e. choosing the cheapest parking space or restaurant.). However, in order to gain a better understanding of shortcomings and advantages of particular interaction method, task of higher complexity and cognitive load should be considered (i.e. navigation tasks where information from large format paper map may help us find the optimal solution, for example, the optimal cycling route that passes the best restaurants, finest beaches whilst keeping of main roads where possible).
In this talk we describe the design process behind the proposed user study design aimed at comparing static peephole and magic lens interaction method on a task with higher cognitive load. We plan to talk about main challenges and justify why method-ology of certain format was chosen as appropriate.
Primary authors
Dr
Klen Čopic Pucihar
(University of Primorska)
Dr
Matjaž Kljun
(University of Primorska)
