Using custom transformation axes for mid-air manipulation of 3D virtual objects

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Mendes, D (Author) Other; Sousa, M (Author) Other; Lorena, R (Author) Other; Ferreira, A (Author) Other; Jorge, JA (Author) Other

Conference proceedings International

Title: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, VRST 2017, Gothenburg, Sweden, November 8-10, 2017

Pages: 27:1-27:8

23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017

8 November 2017 through 10 November 2017

Indexing

Scopus - 33 Citations

Other information

Authenticus ID: P-00N-BRW

DOI: 10.1145/3139131.3139157

Abstract (EN): Virtual Reality environments are able to other natural interaction metaphors. However, it is dicult to accurately place virtual objects in the desired position and orientation using gestures in mid-air. Previous research concluded that the separation of degrees-of-freedom (DOF) can lead to beer results, but these benets come with an increase in time when performing complex tasks, due to the additional number of transformations required. In this work, we assess whether custom transformation axes can be used to achieve the accuracy of DOF separation without sacricing completion time. For this, we developed a new manipulation technique, MAiOR, which oers translation and rotation separation, supporting both 3-DOF and 1-DOF manipulations, using personalized axes for the laer. Additionally, it also has direct 6-DOF manipulation for coarse transformations, and scaled object translation for increased placement. We compared MAiOR against an exclusively 6-DOF approach and a widget-based approach with explicit DOF separation. Results show that, contrary to previous research suggestions, single DOF manipulations are not appealing to users. Instead, users favored 3-DOF manipulations above all, while keeping translation and rotation independent. © 2017 Copyright held by the owner/author(s).

Language: English

Type (Professor's evaluation): Scientific