Title
Evaluation of Selection Techniques on a Mobile Augmented Reality Game.
Abstract
Selection is one of the most fundamental tasks performed by humans. In Virtual Reality (VR), a number of interaction techniques have been proposed to deal with this type of task. They can be based on different metaphors, that define how the interaction is performed. However, it is still not clear how these different metaphors perform under Augmented Reality (AR). We performed two experiments to evaluate two of those interaction techniques. One was based on a pointing metaphor, and the other on a surface interaction metaphor. To achieve this result, a game prototype was developed, where users had to apply the selection techniques to reach a goal and win. We evaluated the impact of two different types of devices and two types of crowd simulation (with and without flocking behavior) in the user interaction. The scenario allowed the user to easily navigate around the scene from an overview perspective. We performed a two-way ANOVA between the variables and found that the technique based on surface interaction metaphor allowed the users to select multiple objects in the shortest amount of time. However, the technique based on pointing metaphor had a higher accuracy. Moreover, both techniques performed better with a crowd with flocking behavior.
Year
DOI
Venue
2018
10.1109/SBGAMES.2018.00024
SBGames
Keywords
Field
DocType
3D interaction techniques,crowds behavior,augmented reality,game
Virtual reality,Computer science,Flocking (behavior),Augmented reality,Human–computer interaction,Crowd simulation,Multimedia,Metaphor
Conference
ISSN
ISBN
Citations 
2159-6654
978-1-5386-9605-7
0
PageRank 
References 
Authors
0.34
0
4