Name
Title | ||
|---|---|---|
Evaluation of human-computer interface for optical see-through augmented reality system |
Abstract | ||
|---|---|---|
Presenting effective augmenting information is helpful for users to perceive and interact in augmented reality systems. In this paper, a novel method for evaluating the human-computer interface in optical see-through augmented reality system is proposed. The main contribution presented in this paper is a user-based study that adopts the Radius Basis Function (RBF) neural network to model the relationship between the human-computer interface and user experience. Several important guidelines to design a successful human-computer interface in optical see-through AR are concluded by experiment. In addition, questionnaire results demonstrate the validity of the evaluation model. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2087756.2087841 | VRCAI |
Keywords | Field | DocType |
main contribution,human-computer interface,augmented reality system,successful human-computer interface,important guideline,effective augmenting information,optical see-through augmented reality,radius basis function,optical see-through ar,evaluation model,human computer interface,user experience,augmented reality,evaluation,head mounted display | User experience design,Computer science,Simulation,Augmented reality,Human–computer interaction,Basis function,Augmented reality systems,Artificial neural network,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qianying Wang | 1 | 227 | 21.40 |
| Dayuan Yan | 2 | 15 | 3.17 |
| Dongdong Weng | 3 | 29 | 19.16 |
| Zeyong Qi | 4 | 0 | 0.34 |