AMP-IT and WISDOM: Improving 3D Manipulation for High-Precision Tasks in Virtual Reality

Precise 3D manipulation in virtual reality (VR) is essential for effectively aligning virtual objects. However, state-of-the-art VR manipulation techniques have limitations when high levels of precision are required, including the unnaturalness caused by scaled rotations and the increase in time due to degree-of-freedom (DoF) separation in complex tasks. We designed two novel techniques to address these issues: AMP-IT, which offers direct manipulation with an adaptive scaled mapping for implicit DoF separation, and WISDOM, which offers a combination of Simple Virtual Hand and scaled indirect manipulation with explicit DoF separation. We compared these two techniques against baseline and state-of-the-art manipulation techniques in a controlled experiment. Results indicate that WISDOM and AMP-IT have significant advantages over best-practice techniques regarding task performance, usability, and user preference.

@inproceedings{rodrigues2023_ampit,

title = {AMP-IT and WISDOM: Improving 3D Manipulation for High-Precision Tasks in Virtual Reality},

author = {Francielly Rodrigues and Alexander Giovannelli and Leonardo Pavanatto and Haichao Miao and Jauvane C. Oliveira and Doug A. Bowman},

doi = {10.1109/ISMAR59233.2023.00045},

year  = {2023},

date = {2023-10-16},

urldate = {2023-10-16},

booktitle = {2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},

pages = {303-311},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}